Neurosci Biobehav Rev. 2009 Jul;33(7):1109-32. doi: 10.1016/j.neubiorev.2009.05.005. Epub 2009 May 27.
This systematic review describes human molecular imaging studies which have investigated alterations in extracellular DA levels during performance of behavioral tasks. Whilst heterogeneity in experimental methods limits meta-analysis, we describe the advantages and limitations of different methodological approaches. Interpretation of experimental results may be limited by regional cerebral blood flow (rCBF) changes, head movement and choice of control conditions. We revisit our original study of striatal DA release during video-game playing (Koepp et al., 1998) to illustrate the potentially confounding influences of head movement and alterations in rCBF. Changes in [11C]raclopride binding may be detected in extrastriatal as well as striatal brain regions – however we review evidence which suggests that extrastriatal changes may not be clearly interpreted in terms of DA release. Whilst several investigations have detected increases in striatal extracellular DA concentrations during task components such as motor learning and execution, reward-related processes, stress and cognitive performance, the presence of potentially biasing factors should be carefully considered (and, where possible, accounted for) when designing and interpreting future studies.
In 1998, we reported increased dopamine (DA) release in man during performance of a behavioral task (Koepp et al., 1998) using positron emission tomography (PET). In the presence of the DA D2/3 receptor radiotracer [11C]raclopride, volunteers played a videogame in which a tank had to be successfully steered around a battlefield arena to collect flags and obtain a monetary reward. Decreased [11C]raclopride binding, consistent with increased DA release, was observed in the striatum of subjects whilst playing the videogame in comparison to a rest condition. This study demonstrated DA release during normal human behavior for the first time, and set the stage for non-invasive investigation of the role of DA in processes such as learning, reward and sensorimotor integration. As will be reviewed here, literature describing the dopaminergic basis of human behavior is now rapidly expanding and DA release has been specifically associated with several motor, reward-related and cognitive functions. In parallel, the past decade has seen much refinement and evolution of methodological approaches to measuring DA release using D2/3 radiotracers using PET and the related technique, single photon emission tomography (SPET).
From a historical perspective, suggestions that select DA receptor radiotracers may be used to image changes in extracellular DA levels began in 1989, with publication of ex vivo data demonstrating the sensitivity of D2/3 receptor radiotracers to changes in endogenous DA levels (Ross et al., 1989a; Ross et al., 1989b; Seeman et al., 1989). Indications that this sensitivity could also be observed in vivo using positron emission tomography (PET) technology rapidly followed, when increased displacement of the D2/3 tracer (18F)-N-methylspiroperidol was observed following administration of the anticholinergic benztropine to baboons (Dewey et al., 1990). This finding was subsequently confirmed by applying the same technique to investigate amphetamine-induced DA release (Dewey et al., 1991). Landmark investigations in humans followed swiftly afterwards; data showing decreases in binding of the D2/3 receptor PET radiotracer [11C]raclopride in response to administration of amphetamine were published in 1992 (Farde et al., 1992) and similar results were subsequently obtained following administration of the DA re-uptake inhibitor methylphenidate (Volkow et al., 1994).
The ability of D2/3 receptor radiotracers to index DA release in vivo is commonly described by the ‘classical occupancy model’; D2/3 receptor radiotracers compete with DA for receptor binding, thus a decrease in radiotracer binding potential (BP) is interpreted as an increase in DA release (see (Laruelle 2000a)). The amount of radiotracer present in a particular brain region of interest (ROI) can be detected using PET and SPET. The specific binding of the radiotracer to receptors is then inferred through careful modeling of radiotracer kinetics. These techniques, used in combination with administration of pharmacological compounds that target non-dopaminergic neurotransmitter systems, have allowed examination of the neuropharmacology of DA release in the human brain (Breier et al., 1998; Brody et al., 2004; Dewey et al., 1993; Vollenweider et al., 1999), and studies employing pharmacological challenges which release DA (e.g. amphetamine), reveal much about the neurochemistry of many brain disorders (Abi-Dargham et al., 1998; Breier et al., 1997; Laruelle et al., 1996; Laruelle et al., 1999; Piccini et al., 2003; Rosa et al., 2002; Singer et al., 2002; Volkow et al., 1997; Volkow et al., 2007). However, the ability to study DA release produced by ethologically-relevant, non-pharmacological stimuli is of greater functional relevance in terms of investigating the dopaminergic basis of human behavior and its role in disease mechanisms.
The possibility that D2/3 radiotracer PET techniques might prove sensitive enough to measure the relatively smaller changes in DA release expected following non-pharmacological interventions was first proposed in 1995 following detailed review of dopaminergic neurophysiology and integration of these parameters into simulations (Fischer et al., 1995; Morris et al., 1995). Encouraged by the positive results of these simulations, we performed our initial study of DA release during videogame playing and observed significant decreases in [11C]raclopride BP (Koepp et al., 1998).
Since the publication of our original finding (Koepp et al., 1998), there have been a large number of studies in this field, employing a number of different approaches, and there is no clear consensus as to the best method. The aim of this paper is to systematically review the molecular imaging studies of DA release in man and to critically appraise the methodological approaches used. In addition, we re-analyze our original data to evaluate and illustrate the degree to which certain methodological factors may alter findings. We conclude by reviewing the findings of molecular imaging studies of non-pharmacologically-evoked changes in DA release in man, and summarize what these studies have told us about the role of DA in aspects of human behavior.
As studies in experimental animals have since significantly increased our understanding of dopaminergic neurophysiology, we begin this review by describing components of this system relevant to measuring non-pharmacologically-induced changes in DA release using D2/3 receptor radiotracers and PET methodology. We then present the findings of our systematic review and re-evaluation of previous data.
Neurophysiology of the dopaminergic system
Electrophysiological recording shows that, at ‘baseline’, action potentials occur in mesostriatal DA neurons at a frequency of about 4Hz, referred to as tonic or ‘pacemaker’ firing (Grace et al., 1984b). On presentation of a reward, a stimulus predicting a reward, a novel arousing stimulus, or a stressful stimulus, a short burst in DA neuron firing rate occurs (Anstrom and Woodward., 2005; Carelli et al., 1994; Grace et al., 1984a; Hyland et al., 2002; Schultz et al., 1988; Steinfels et al., 1983). These bursts in action potential frequency are associated with transient increases in extracellular DA concentrations, which can be measured invasively using amperometry or cyclic voltammetry (Dugast et al., 1994; Garris et al., 1994; Venton et al., 2003; Wightman 2006). In contrast, changes in the level of tonic DA release, occurring through alterations in dopaminergic neuron population activity (the proportion of spontaneously active DA neurons) or presynaptic modulation, can be measured invasively using microdialysis (Floresco et al., 2003). Released DA is then removed from the extracellular space though diffusion and re-uptake via dopamine transporters (DATs) (Cragg et al., 2004).
Computational models suggest that phasic DA may provide a ‘teaching signal’ for reward-based learning and the selection of actions which will maximize reward delivery (Bayer et al., 2005; Dayan et al., 2002; Montague et al., 1996; Montague et al., 2004; Schultz, 1997). Changes in tonic DA levels have been suggested to enable or energize behavior and vigor of responding (Niv 2007). Changes in PET radiotracer BP presumably reflect net alterations in extracellular DA – resulting from both tonic and phasic DA release (although see Grace, 2008), and also DA re-uptake and diffusion.
Relationship between extracellular dopamine levels and D2 radiotracer binding
A somewhat counterintuitive finding from PET studies of task-induced DA release is that the magnitude of change detected in many studies is similar to that observed following administration of psychostimulants such as amphetamine. Microdialysis studies in rats have shown that non-pharmacological stimuli, such as transfer to a novel environment, increase DA levels in the ventral striatum (nucleus accumbens), to an order of approximately 20% (Neigh et al., 2001), whilst amphetamine administration may increase extracellular DA levels by around ~1500% (e.g. (Schiffer et al., 2006). Dual microdialysis and PET studies have demonstrated that the ratio of magnitude of change in extracellular DA to the magnitude of change in [11C]raclopride binding varies according to the stimulus applied (Breier et al., 1997; Schiffer et al., 2006; Tsukada et al., 1999). D2 antagonist radiotracer displacement generally does not exceed about 40-50% (Kortekaas et al., 2004; Laruelle 2000a). At a basic level, this ceiling effect relates to the fact that there are a limited number of D2 receptors in the striatum.
In vitro studies of D2 receptors reveal the existence of intraconvertable high (D2high) and low (D2low) affinity states for agonist binding; the D2high state is regarded as the functional state due to G-protein coupling (Sibley et al., 1982). Whilst antagonists have equal affinity at both receptor states, agonists have greater affinity for the D2high (1-10 nM) than the D2low state (0.7-1.5 μM) (Freedman et al., 1994; Richfield et al., 1989; Seeman et al., 2003; Sibley et al., 1982; Sokoloff et al., 1990; Sokoloff et al., 1992). Based on this in vitro data and in vivo estimates of baseline D2 occupancy by DA and the proportion of receptors in the high affinity state, models have been proposed which attempt to explain the ceiling effect in D2 PET data (Laruelle 2000a; Narendran et al., 2004). These models estimate that the proportion of D2 antagonist radiotracer binding susceptible to competition by DA is ~38%.
Recently, D2/3 agonist radiotracers have been developed in the hope that they may be more sensitive than D2/3 antagonist radiotracers in detecting fluctuations in DA, as a greater degree of competition will occur at the same site (Cumming et al., 2002; Hwang et al., 2000; Mukherjee et al., 2000; Mukherjee et al., 2004; Shi et al., 2004; Wilson et al., 2005; Zijlstra et al., 1993) Increased sensitivity of D2/3 agonist radiotracers to changes in extracellular DA has yet to be confirmed in man; an initial study exploring the sensitivity of the D2/3 agonist radiotracer [11C]PHNO to amphetamine-induced changes in DA showed a sensitivity which was similar or, at most, only marginally greater than that previously observed with [11C]raclopride (Willeit et al., 2008).
The relationship between D2/3 radiotracer binding and extracellular DA levels may also reflect agonist-dependent receptor internalization (Goggi et al., 2007; Laruelle 2000a; Sun et al., 2003) and/or D2 monomer-dimer equilibrium (Logan et al., 2001a). As will be discussed in more detail below, the kinetics of changes in extracellular DA relative to D2/3 radiotracer kinetics may also be important in determining the degree of change in radiotracer binding potential (Morris et al., 2007; Yoder et al., 2004). Therefore whilst changes in BP of D2/3 radiotracers such as [11C]raclopride clearly show a dose-dependent relationship with extracellular DA levels, the nature of this relationship is complex and linearity may vary according to the type of stimulus applied.
Competition may be predominantly extrasynaptic
Throughout the D2/3 PET literature it is often assumed that most D2/3 receptors are synaptic and D2/3 radiotracer PET therefore measures synaptic DA transmission. However, this interpretation must be reconsidered as several studies show that the location of D2/3 receptors, and also DATs, is predominantly extrasynaptic (Ciliax et al., 1995; Cragg et al., 2004; Hersch et al., 1995; Sesack et al., 1994; Yung et al., 1995; Zoli et al., 1998). This is accordant with the well accepted view that DA acts via volume transmission in the striatum (Fuxe et al., 2007; Zoli et al., 1998). After phasic release, DA may diffuse several microns from the release site (Gonon et al., 2000; Peters et al., 2000; Venton et al., 2003); a distance far larger than the width of the synaptic cleft (about 0.5 μm) (Groves et al., 1994; Pickel et al., 1981). DA concentrations within the synaptic cleft may transiently rise to 1.6 mM (Garris et al., 1994), and recorded extrasynaptic DA concentrations arising from natural DA transients or following electrical stimulus pulses in rodents range from ~ 0.2-1 μM (Garris et al., 1994; Gonon 1997; Robinson et al., 2001; Robinson et al., 2002; Venton et al., 2003).
Recent models of DA striatal transmission predict that activation of D2high receptors after release of a single DA vesicle may occur at a maximum effective radius of diffusion of up to 7 μm, whereas concentrations of 1 μM, capable of binding low affinity receptors, are associated with a maximum effective radius of <2 μm; both values far exceed the dimensions of the synaptic cleft (Cragg et al., 2004; Rice et al., 2008). Further analysis shows that, for D2high receptors, DA released from one synapse may influence receptors (whether intra- or extra-synaptic) in the vicinity of 20-100 DA synapses within this radius (Cragg et al., 2004; Rice et al., 2008). These kinetic analyses have resulted in the proposal of a new model of striatal DA synapses (Rice et al., 2008), which accounts for significant spill over of DA to the extrasynaptic space and the predominant activation of extrasynaptic over intrasynaptic D2 receptors. Although this model requires further evaluation, it would appear that extrasynaptic receptors play a significant if not predominant role in the binding and displacement D2/3 radiotracers in the striatum.
Competition may occur within anatomically distinct striatal subdivisions
The striatum is commonly divided into three anatomical subdivisions; the caudate nucleus, putamen and ventral striatum. Whilst the dorsal striatum (neostriatum) includes the major proportion of the caudate nucleus and putamen, the ventral striatum is composed of the nucleus accumbens, part of the olfactory tubercle and the most ventromedial portions of the caudate and putamen. The dorsal striatum primarily receives DA fibres from the substantia nigra, whilst the origin of DA input to the ventral striatum lies principally in the ventral tegmental area (VTA). DA neurons are innervated by glutamatergic afferents from cortical areas, which modulate DA release at the cell body and terminal level (Cheramy et al., 1986; Karreman et al., 1996; Leviel et al., 1990; Murase et al., 1993; Taber et al., 1993; Taber et al., 1995). Cortical inputs to the striatum are topographically organised, forming parallel cortico-striatal-thalamo-cortical loops (Alexander et al., 1986). These loops are organized along a dorsolateral to ventromedial gradient, which may functionally relate to motor, cognitive and reward processes (Haber et al., 2000). Generally speaking, anatomical studies in non-human primates show that the motor and premotor cortices project to the putamen (Flaherty et al., 1994), whilst the head of the caudate receives input from the prefrontal cortex (Selemon et al., 1985) and the ventral striatum receives projections from the orbital and medial frontal cortex (Kunishio et al., 1994).
These anatomical subdivisions have also been conceptualized as ‘functional subdivisions’ (sensorimotor, associative and limbic) for PET image analysis (Martinez et al., 2003). This model should be viewed as probabilistic rather than exclusive due to significant overlap (Martinez et al., 2003) and as delineation may also be limited by scanner resolution and partial volume effects (Drevets et al., 2001; Mawlawi et al., 2001). The most convincing evidence that PET can detect changes in DA release in functionally discrete areas of the striatum is provided in the repetitive transcranial magnetic stimulation (rTMS) studies of Strafella and colleagues (Strafella et al., 2001; Strafella et al., 2003; Strafella et al., 2005). Stimulation of the mid-dorsolateral PFC caused a selective decrease in [11C]raclopride binding in the head of the caudate nucleus (Strafella et al., 2001). The opposite pattern was observed when the motor cortex was stimulated; decreases in [11C]raclopride binding were observed in the putamen but not other striatal areas (Strafella et al., 2003; Strafella et al., 2005). These findings are in accordance with anatomical studies of cortico-striatal projections in primates (Flaherty et al., 1994; Kunishio et al., 1994; Selemon et al., 1985) and suggest that spatially distinct areas of increased DA release as imaged with PET may be functionally related to the discrete behavioral process under investigation.
Methodological aspects in imaging DA release
Choice of radioligand
Currently, D2/3 receptor binding in the striatum is normally quantified using either the PET radioligand [11C]raclopride, or the single photon emission tomography (SPET) radioligands [123I]IBZM and [123I]epidepride. These D2 antagonist radiotracers are readily displaceable by increases or decreases in endogenous DA (Endres et al., 1998; Laruelle 2000a). Other D2 antagonist radiotracers such as spiperone and D1 radiotracers are not readily vulnerable to changes in extracellular DA due to factors such as receptor internalisation (Laruelle 2000a), monomer-dimer formation (Logan et al., 2001b) or tracer kinetics (Morris et al., 2007) as mentioned above. Recent images obtained with the newly developed D2/3 agonist radiotracer [11C]PHNO demonstrate higher binding in the ventral portion of the striatum and globus pallidus compared to [11C]raclopride (Willeit et al., 2006), which may be attributable to a higher affinity of [11C]PHNO for D3 over D2 receptors (Narendran et al., 2006). Although not yet confirmed in human volunteers, [11C]PHNO may therefore offer some particular advantage in assessing changes in DA release in the ventral aspect of the striatum, as DA also has higher affinity for the D3 over D2 receptor subtype (Sokoloff et al., 1990). As addressed in detail below, in order to measure extrastriatal D2 receptor availability and possibly extrastriatal DA release, high affinity antagonist radiotracers such as [11C]FLB457 and [18F]fallypride are required (Aalto et al., 2005; Montgomery et al., 2007; Riccardi et al., 2006a; Riccardi et al., 2006b; Slifstein et al., 2004).
Methods and results of systematic
To identify all PET and SPET studies of non-pharmacologically evoked DA release, Medline and PubMed bibliographic databases were searched using the keywords “dopamine,” “emission tomography,” “task,” “stress,” “reward,” “motor,” “cognitive”. We also hand-searched references within publications. We selected studies where PET or SPET was used to infer changes in extracellular DA concentrations in man following application of non-pharmacological stimuli relative to a control condition. Using this search strategy, we identified 44 publications, published from 1998 to April 2009, as listed in Table 1.
As presented in Table 1, several methodological and analytical approaches have been applied in [11C]raclopride studies of DA release following behavioral challenges which have different practical and methodological advantages and disadvantages. Changes in DA release may be inferred using either ‘blocking’ or ‘displacement’ studies. In blocking studies, radiotracer binding is measured under a DA activation (‘challenge’) condition and control condition, where the changes in D2/3 receptor occupancy are induced before radiotracer administration (Laruelle 2000a). Magnitude of DA release is then inferred through subtraction of the control from the activation condition. Sessions are typically performed on separate days and [11C]raclopride is usually administered as a bolus dose. This is perhaps the most commonly adopted approach to investigation of striatal DA release (see Table 1).
There are also methods which measure DA release during a single scan session; this design has several practical advantages, such as the requirement for only a single radiochemical synthesis and administration and avoidance of session effects. These are termed ‘displacement’ studies as the activation paradigm commences after radiotracer administration. Here, [11C]raclopride may be administered by an initial bolus followed by constant infusion (termed the bolus infusion (BI) method) to maintain radiotracer equilibrium, during which both control and activation data are collected (Carson et al., 1997; Watabe et al., 2000). We have previously adopted the BI approach in investigation of stress-induced DA release (Montgomery et al., 2006a), and it has also been used by other groups in investigation of DA release during application of painful stimuli (Scott et al., 2006; Scott et al., 2007b; Scott et al., 2008) and motor learning (Garraux et al., 2007). Displacement studies may also be performed using a single bolus administration of [11C]raclopride. Here, dynamic scan data is used to measure hypothesized increases in the washout of the radiotracer elicited by DA released during the activation paradigm (Alpert et al., 2003; Pappata et al., 2002). This approach has been applied to investigations of DA release during performance of reward (Pappata et al., 2002) and motor tasks (Badgaiyan et al., 2003; Badgaiyan et al., 2007; Badgaiyan et al., 2008).
In order to discuss the relative merits and disadvantages of these approaches in further depth, a brief description of the different approaches in radiotracer pharmacokinetic modeling is required. For a detailed description of these models, the reader is directed to the review of (Slifstein et al., 2001), and the original methodological papers cited in the following sections. Here we focus specifically on methods that have been applied to measurement of DA release during behavioral paradigms (as detailed in Table 1) and direct discussion to physiological aspects such as the dynamics of increased DA release, changes in blood flow and head movement that may be particularly pertinent to behavioral activation paradigms.
The PET approach to detecting endogenous transmitter release (in this case DA) is based on the estimation of changes in the concentration of available neuroreceptor sites (Bavail), which occur in response to the associated changes in the local neurotransmitter concentration according to the Michaelis-Menten equation. The kinetic behavior of the radioligand (e.g. [11C]raclopride) is in turn dependent on Bavail, and is linear at tracer concentrations. This enables the determination of a binding potential (BP). BP equals the ratio of the specifically bound radioligand over the free concentration of radioligand in the brain at equilibrium. In vitro, in the absence of competing ligands, BP is equal to the density of radiotracer binding sites (Bmax) divided by the radiotracer affinity (KD) (Mintun et al., 1984). In practice, in PET studies, BP is defined either as the ratio at equilibrium between specifically bound tracer and that in the free and non-specifically bound compartments (this is denoted BPND) or relative to that in plasma, denoted BPPP (Innis et al., 2007). Changes in BPND, (or BPPP) in activation studies are usually assumed to reflect changes in Bavail, rather than in the KD for the radiotracer, and a decrease in BPND is assumed to reflect increased endogenous neurotransmitter release.
BPND is an equilibrium concept, but may be estimated from dynamic PET studies, as well as equilibrium PET studies when a suitable reference region, devoid of specific binding sites is available. An input function describing the time course of the delivery of the radiotracer to the tissue is required for quantification of dynamic studies, but to avoid the need for arterial sampling, the plasma input function may be substituted, where possible, by the tracer time course in the reference region itself. For [11C]raclopride, the cerebellum may be used (Gunn et al., 1997; Hume et al., 1992; Lammertsma et al., 1996b; Logan et al., 1996). We are not aware of any PET studies of task-induced DA release that have used an arterial input function; likely due to methodological simplicity, all studies listed in Table 1 have adopted the reference region approach. For the two [123I]IBZM SPECT studies of task-induced DA release (Larisch et al., 1999; Schommartz et al., 2000), reference ROIs in cortical regions were preferred.
The BI technique confers significant advantage as, once equilibrium is reached, BPND may be calculated as the ratio of the concentration of the radiotracer in the ROI to the concentration of the radiotracer in the reference region: (BPND= (CROI − CREF)/CREF)). Whilst this approach has the advantage of being relatively simple compared to the analysis methods applied to dynamic bolus studies (Carson 2000), changes in BPND may be long-lasting (Carson 2000; Houston et al., 2004), meaning that, if the single BI scan approach is used, the control and challenge conditions can seldom be counterbalanced. Thus, the challenge condition usually occurs in the second part of the scan where the statistical quality of the data is in decline due to radioactive decay (Martinez et al., 2003). However, counterbalancing may be possible for some non-pharmacological challenges (Scott et al., 2007b), presumably as the smaller magnitudes of DA concentration change (compared to that resulting from amphetamine administration, for example) do not markedly result in secondary processes such as receptor internalization, which may lead to sustained decreases in BP (Laruelle, 2000).
When the radiotracer is administered as a bolus injection only, transient equilibrium may be assumed when maximal values for specific binding are obtained (Farde et al., 1989); this occurs approximately 20-25 minutes after rapid bolus injection of [11C]raclopride (Ito et al., 1998). In contrast to the BI approach, equilibrium is not sustained as the radiotracer begins to washout of the tissue, and BP must be derived using model-based methods such as graphical analysis (Logan et al., 1990; Logan et al., 1994; Logan et al., 1996) or compartmental kinetic analysis (Farde et al., 1989; Lammertsma et al., 1996b) which relate time-activity curves in the ROI to those of the arterial or reference region tracer input function (TIF). The multi-time graphical analysis method for reversible tracers, also called a Logan plot, provides, via linear regression, a distribution volume ratio (DVR), where DVR = BPND+1 (Logan et al., 1990; Logan et al., 1996). In behavioral studies, this method has been used in the investigations of task-induced DA release performed by Volkow and colleagues (Volkow et al., 2002b; Volkow et al., 2004; Volkow et al., 2006; Wang et al., 2000). The Logan method has the advantage that a compartmental model does not need to be specified a priori, but has been criticized on the basis that statistical noise may bias parameter estimates (Slifstein et al., 2000).
As shown in Table 1, the majority of investigations into task-induced DA release have employed the simplified reference tissue model (SRTM), which combines compartmental analysis with a cerebellar TIF (Gunn et al., 1997; Lammertsma et al., 1996a; Lammertsma et al., 1996b). Compartmental kinetic models such as the SRTM describe the concentrations of the radiotracer in different physiological compartments (such as plasma, free and non-specifically bound and specifically bound compartments) and the rate constants of radiotracer transfer between these compartments to give estimates of radiotracer BP (Mintun et al., 1984). With specific reference to measurement of task-induced DA release, both the Logan and STRM methods have been criticized on the basis that they assume that DA levels achieve a steady state for the duration over which BPND is measured, whereas, in reality, many different learning and adaptive processes may be occurring over this time period (Alpert et al., 2003).
In the more recent approaches of Pappata et al., (2002) and Alpert et al., (2003), dynamic models were applied to DA release evoked by cognitive tasks. Theoretically, these approaches which utilize temporal data may be better aligned to the physiological dynamics of extracellular DA as they account for the transient nature of DA released during cognitive tasks. Pappata et al., (2002) created simulated curves for [11C]raclopride displacement and changes in cerebral blood flow to construct a statistical linear model, which was then tested against acquired data on a voxel-wise basis. However, the curves used for the resting state were obtained in previous studies in separate subjects, and simulated curves were used for [11C]raclopride displacement during the task, which may not precisely fit the experimental data (Alpert et al., 2003). We are not aware of any further investigations that have adopted this method.
Alpert et al., (2003) instead used a linear extension of the SRTM (LSSRM) where the model is fitted to individual data, increasing sensitivity so that changes in DA release may be detected in individual subjects. The LSSRM approach was designed to measure time-dependent changes in DA release and has since been applied to detect changes in DA release during unrewarded motor, motor planning, motor sequence learning and motor memory tasks (Badgaiyan et al., 2003; Badgaiyan et al., 2007; Badgaiyan et al., 2008). However, displacement approaches using dynamic scan data from single bolus radiotracer administrations have been criticized on the basis that task-induced changes in blood flow may elicit alterations in the dynamic [11C]raclopride curve indistinguishable from the effects of increased DA release (Aston et al., 2000; Dagher et al., 1998; Laruelle 2000b), as will be discussed in more detail below.
Minimizing biasing factors
Changes in cerebral blood flow
In developing these methodologies a major consideration has been the influences that task-induced changes in blood flow may exert on the estimation of D2/3 radiotracer binding potential. Using hyperventilation to decrease regional cerebral blood flow (rCBF) via vasoconstriction, an [11C]raclopride scan in a single subject showed an apparent decrease in both the distribution volume and transport of the radiotracer to the brain (K1) (Logan et al., 1994) suggesting that radiotracer delivery may be altered by changes in rCBF. The SRTM returns a similar parameter, R1-the delivery of the radiotracer to the striatum relative to the cerebellum (Lammertsma et al., 1996b). Hence, using both the Logan graphical analysis and SRTM methods, rCBF effects are theoretically distinguishable from changes in neurotransmitter release – however, these measures are often not reported. These R1 or K1 measures are limited in that transient changes in blood flow during the scanning period, which may also produce artifactual results, are not estimated (Laruelle 2000b).
In the original [11C]raclopride PET study of video-game playing, reductions in R1 were observed during the activation condition, in addition to the observed decreases in BP (Koepp et al., 1998). These changes in R1 did not correlate with changes in BPND and it was concluded that the observed decrease in R1 may have been due to relatively greater increases in rCBF in the cerebellum compared to the striatum whilst playing the game. This was subsequently confirmed when cerebral blood flow during the task was measured using H2−150 PET (Koepp et al., 2000).
Figure 1A shows the rCBF values measured in the dorsal and ventral striatum and cerebellum during the rest and task periods. During the task period, the largest increases (mean 29%) in rCBF occurred in the cerebellum. Smaller increases in rCBF occurred in the striatal regions during the task period (dorsal striatum 16%; ventral striatum 10%; caudate 9%). Dividing rCBF values in the dorsal and striatal ROIs by that obtained in the cerebellum gives a measure equivalent to R1 (CBF(ROI/CB)). As shown in Figure 1B, CBF(ROI/CB) was reduced by ~10% in the dorsal striatum, and ~15% in the ventral striatum during the task relative to the baseline condition. These figures are therefore consistent with the changes in R1 that were detected in the original [11C]raclopride PET investigation, where R1 decreased by a mean 13% in the dorsal striatum and 14% in the ventral striatum (Koepp et al., 1998). The question was therefore to what extent could these changes in flow could contribute to the apparent decreases in the estimates of striatal [11C]raclopride BPND.
Simulations performed by Dagher et al., (1998) of the single dynamic scan displacement approach have shown that if k2 (the efflux rate constant) is increased more than K1, the resulting changes in radiotracer binding are indistinguishable from changes that would result from increased release of DA, potentially resulting in false positive results. However, it can be shown under the assumptions of the Renkin-Crone model with passive transport of a solute between capillary plasma and tissue, that changes in either blood flow rate or the permeability surface product (PS product) for the solute would affect both K1 and k2 equally, so that an apparent change in the estimated BPND is unlikely under steady state conditions. Simulations performed for validation of the displacement methods have demonstrated that when K1 and k2 are increased equally, no significant effects on radiotracer binding are detected (Pappata et al. 2002; Alpert et al. 2003). However, increases in rCBF during the washout period when radiotracer concentration in the blood is minimal will primarily affect efflux and not influx, and it is likely that an increase in rCBF either in the striatum or in the reference region, on commencing the task during the washout period, would lead to biased estimations of BPND.
Returning to the video game example, Koepp et al. (2000) concluded that since the mean values of CBF in each of the regions were relatively constant during rest and activation periods, use of SRTM was unlikely to induce a bias in the estimated BPs. This conclusion is supported by simulations of the video game experiments taking into account the actual fluctuations for flow and their variation during rest and activated conditions as reported in Figure 1A. In brief, an arterial plasma parent input function for a bolus [11C]raclopride scan was taken from the study of Lammertsma et al. (1996) together with the mean values for the rate constants (K1, k2) describing the fit of cerebellum to a one tissue compartmental model with a plasma input function, as reported by Farde et al. (1989). Equivalent mean PS products were calculated for cerebellum from the mean values for blood flow under rest and activated conditions given in Table 1A, according to the Renkin-Crone model;
PS = −F.log(1 − K1/F), where F is the plasma flow rate assuming an haematocrit of 0.4.
It was assumed that the total volume of distribution for [11C]raclopride in cerebellum did not change between rest and task conditions. Values for the PS products and equivalent rate constants for dorsal and ventral striatum were then derived from the mean blood flow under rest conditions (Figure 1A), together with estimates of R1 and BP relative to cerebellum reported by Koepp et al. (1998) under resting conditions. It was then possible to construct individual time activity curves (TACs) for cerebellum under baseline and test conditions and for striatal regions under baseline conditions taking into account the individual fluctuations in blood flow over the scanning periods. It was also assumed that PS products varied in proportion to flow so as to exaggerate the possible effects of the small fluctuations in blood flow during the scans. Striatal TACs were simulated under test conditions either assuming a decrease in BP as reported by Koepp et al., 1998 or with no change in BP. Estimates of BP were then estimated using the STRM, as in Koepp et al., (1998) which takes no account of bias induced by fluctuations in blood flow. These simulations showed that under the above assumptions there was no confounding effect due to fluctuations in flow; the mean apparent BPND for ventral striatum would have changed from a baseline value of 2.231 to 2.238 due to blood flow changes alone as opposed to 1.918 given a task induced change in the true BPND. The corresponding vales for dorsal striatum were 2.407, 2.412 and 2.213.
In the present case, a blood flow effect on the apparent changes in BPND was therefore unlikely, due to the task being initiated prior to scan start and relative constancy of blood flow within each scan. However variations in blood flow during a single scan would result in an underestimation of BPND had the task been started within the washout period following a single bolus injection and we consider this factor of significant concern in displacement approaches to quantifying changes in DA release. The method least influenced by local or global changes in rCBF is the bolus infusion (BI) approach; once secular equilibrium has been established, the constant levels of the radiotracer in the plasma avoid any confounding effects of blood flow on specific binding values (Carson et al., 1993; Carson et al., 1997; Carson 2000; Endres et al., 1997; Endres et al., 1998). We therefore consider BI radiotracer administration the optimal choice of available methodology when the influences of concurrent changes in rCBF during the scan period are of concern.
Head movement may be especially problematic in behavioral studies where volunteers are required to make a verbal or motor response (Montgomery et al., 2006a). Movement during the scan can markedly reduce the effective scanner resolution (Green et al., 1994) and may lead to inaccurate measurement of BP. Although uncorrected head movement will affect BP measurements obtained using all analysis methods, this may be of particular importance in displacement studies, as it is conceivable that head movement may consistently occur on commencement of the activation task and lead to false positive changes in BP (Dagher et al., 1998). Voxel-wise analysis methods (see below) may also be particularly sensitive to head movement effects, as the binding of [11C]raclopride is much higher in striatal regions compared to the adjacent extrastriatal areas (Zald et al., 2004).
Head movement may be reduced during the scan using restraints such as thermoplastic face masks, as employed by Ouchi et al., (2002) during a motor task and de la Fuente-Fernandez et al., (2001; 2002) in examination of the placebo effect. However, thermoplastic face masks may be uncomfortable for volunteers and previous comparative studies have shown that, although head movement may be considerably reduced, it is not eliminated (Green et al., 1994; Ruttimann et al., 1995). An alternative or complementary approach is to correct effects of head movement post hoc, using frame-by-frame (FBF) realignment. Typical FBF realignment techniques align all frames to either an initial or later frame selected on the basis of a high signal-to-noise ratio (Mawlawi et al., 2001; Woods et al., 1992; Woods et al., 1993). The FBF realignment technique is limited by poor statistical quality of data acquired in later frames and an inability to correct for head-movement within frames (which may be up to 10 minutes long) (Montgomery et al., 2006b). In addition, these methods assume that radiotracer distribution is similar in early and late frames; this is not the case following bolus radiotracer administration, which can lead to false positive results (Dagher et al., 1998). To reduce the influence of radiotracer redistribution producing erroneous alignments, the non-attenuation corrected image can be used instead; these images have a higher scalp signal which provides more information for the realignment program to work with (Montgomery et al., 2006a). In addition, denoising using wavelets can be applied to decrease errors introduced by poor signal to noise ratios (Mawlawi et al., 2001; Turkheimer et al., 1999). Recent [11C]raclopride bolus studies of task-induced DA release published by Dagher and colleagues (Hakyemez et al., 2008; Soliman et al., 2008; Zald et al., 2004) use a novel realignment process (Perruchot et al., 2004). Here, brain regions, following automated segmentation from individual MRI images, are assigned generic time-activity curves on the basis of previous data. The frames acquired during the experimental scans are then automatically realigned to target volumes using a realignment algorithm. New methods, such as the use of motion tracking software and movement correction during re-binning of list-mode data, are under development and show superior test-retest reliability (Montgomery et al., 2006b). This approach has only been used in one study of task-related DA release to date (Sawamoto et al., 2008) and may be of particular value in this context as improved reliability of data will increase ability to detect small changes in DA release.
To illustrate the importance of appropriate head-movement correction, we again revisit our original [11C]raclopride bolus video-game data (Koepp et al., 1998). In the original analysis, head movement, although minimized using an orthopedic collar and head support, was not corrected for. Furthermore, striatal ROI were threshold-defined using a fixed-threshold of 40% of the image maximum. This may also produce artifacts; if systematic increases in regional volume (due to head movement) occur under the activation compared to rest condition, the measured activity will decrease which may lead to false-positive results. To illustrate the bias introduced by these approaches, we compared the original data with that obtained through re-analysis with anatomically-defined ROI and FBF realignment.
To obtain anatomically-defined striatal and cerebellar ROIs we used the criteria described by Mawlawi et al., (2001) to define dorsal and ventral striata on a magnetic resonance scan positioned in Montreal Neurological Institute (MNI) space. An [11C]raclopride template was constructed in MNI space (Meyer et al., 1999) using an average image of 8 scans obtained in healthy control subjects. This template was then spatially transformed into individual PET space and the resulting transformation parameters were used to transform the striatal ROI into individual space. We then combined analysis in re-defined ROIs with head movement correction using FBF-realignment. Non-attenuation corrected dynamic images were denoised using a level 2, order 64 Battle Lemarie wavelet (Battle 1987; Turkheimer et al., 1999). Frames were realigned to a single frame which had a high signal to noise ratio, using a mutual information algorithm (Studholme et al., 1996) and the transformation parameters were then applied to the corresponding attenuation corrected dynamic images. This procedure was applied to all frames to generate a FBF-corrected dynamic image.
Table 2 presents the regional BP values obtained in the original analysis (Koepp et al., 1998) and those obtained following ROI redefinition with subsequent FBF realignment. In the original study, repeated measures ANOVA revealed a significant effect of playing the video game (F(1)=7.72; p <0.01), that was particularly marked in the ventral striatum (see Table 2). Following ROI redefinition, ANOVA showed only a trend-level effect of playing the video game (F(1) = 3.64; p=0.10) and a significant effect of region (F(3)=90.98; p<0.01). In common with our previous results, but of a smaller magnitude, post hoc t-tests did reveal a significant reduction in BP in the right ventral striatum during the video game condition (t(7)=4.94; p=0.01; mean −7.3%), although this effect only reached trend level significance in the left ventral striatum (t(7)=2.10; p=0.07; mean −4.7%). Whilst in our original data BP in all areas correlated with task performance (Koepp et al., 1998), when ROI were re-defined there were no correlations between performance and change in BP. Following ROI definition and FBF realignment, ANOVA showed a significant overall effect of condition (F(1) = 7.44; p=0.03) and region (F(3) = 22.23; p=0.01). However, the magnitudes of change were much smaller (see Table 2) and t-tests did not reveal any significant changes in individual dorsal or ventral striatal regions.
Although we did not observe significant changes in ROI size, or correlations between ROI size and performance during the scan, the diminished experimental effects observed when non-threshold ROI were used in the re-analysis suggests that head movement may have biased our published results. This conclusion is further strengthened by the observation that when FBF re-analysis was applied, the significance of magnitude of changes detected was further diminished. Thus, we cannot overstate the importance of appropriate head movement correction methods for analysis of task-induced DA release using [11C]raclopride PET. Head movement correction is also of particular importance in studies of pharmacologically-evoked DA release when the pharmacological challenge may be associated with behavioral activation (e.g. amphetamine).
Maximizing detection sensitivity
As task-induced increases in DA release are likely to be relatively small and transient in nature, it is particularly important to maximize the sensitivity of these methodologies for detection of changes in DA release. As dual condition BI scans may offer advantage over paired bolus scans in minimizing the effects of changes in blood flow, the sensitivity of these approaches has been specifically compared: following administration of amphetamine (Carson et al., 1997) or nicotine (Marenco et al., 2004) to primates, bolus and BI approaches have roughly equivalent power to detect alterations in extracellular DA levels.
Dopamine kinetics and timing
A more important factor may be the shape and timing of the DA release curve in comparison to the radiotracer time-activity curve. Graphical analysis following bolus administration of [18F]-N-methylspiroperidol showed that change in uptake rate is maximal for large DA peaks and slow DA clearance (Logan et al., 1991). Similar results have been obtained for the dual condition, single scan BI approach; changes in specific binding following amphetamine challenge correlate with both the height of the DA pulse (nM) and the DA clearance rate (min−1), and tightest correlations are obtained when the change in specific binding is correlated against the integral of the DA pulse (μM·min) (Endres et al., 1997). It is unclear at present whether DA curves obtained under all physiological stimuli will be sufficient to produce significant radiotracer displacement using this technique.
Simulations performed by Morris and colleagues (1995) for the paired bolus approach suggest that BP changes may be maximized when the activation task is performed over a long time period, and commenced on or before radiotracer administration. Similar results were obtained by Logan et al., (1991), where the largest change in [18F]-N-methylspiroperidol uptake rate occurred when the task commenced simultaneously with radiotracer injection, a finding also replicated in [11C]raclopride simulations of Endres et al., (1998). Yoder et al., (2004) have further demonstrated that the change in BP can be markedly affected by the timing of DA response in relation to the timing of [11C]raclopride concentration following bolus administration, an interaction termed ‘Effective Weighted Availability’ (EWA). Here, greater changes in BP were detected if the onset of the DA response occurred just before [11C]raclopride administration (Yoder et al., 2004). Furthermore, the magnitude of change in BP reflected not only the magnitude of DA release (area under the curve) but also differences in DA temporal kinetics (i.e. the gradient of the DA release curve), with blunt curves producing larger changes in BP for a given amount of DA released (Yoder et al., 2004). When using the paired bolus approach, it is therefore recommended that tasks start just prior to radiotracer administration and continue for a significant duration of the scan.
Pharmacological enhancement of dopamine release
An interesting strategy to increase detection of task-induced changes in DA release is the use of DA re-uptake inhibitors such as methylphenidate (MP), which has been used with some success (Volkow et al., 2002b; Volkow et al., 2004). As MP inhibits the re-uptake of released DA to the presynaptic terminal through dopamine transporters, released DA accumulates thus producing a greater magnitude of change in [11C]raclopride binding (Volkow et al., 2002a). However, small but significant differences between four combinations of conditions (placebo or MP plus control or activation) are required in order for clear additive effects to be observed, meaning this approach has been difficult to validate; ideally dose-response studies of re-uptake inhibition are required. In addition, variable absorption of oral MP will introduce some noise into these measurements. Care is also required as DA reuptake inhibitors may also produce additional effects on regional blood flow, or on DA release via action on other neurotransmitter systems. Nonetheless, DA reuptake inhibition may theoretically be a useful ‘pharmacological enhancement maneuver’ for imaging task-induced DA release.
Differences in BP between control and activation conditions may also be determined using parametric analysis. Standard voxel-wise analysis can be carried out using statistical parametric mapping (SPM) software (Friston et al., 1995); (http://www.fil.ion.ucl.ac.uk/spm/). A further approach is the voxel-wise statistical method of Aston et al., (2000), currently available for data obtained using paired bolus scans. Different to the usual SPM approach, the method of Aston et al., (2000), uses residuals of the least squares fit of the kinetic model to estimate the standard deviation of BP measurements at each voxel from the noise of dynamic data. These standard deviations are then used to estimate the t statistic at each voxel and, in proportion to the number of time-frames in the dynamic data, the degrees of freedom (df) are thereby greatly increased. Simulations showed that statistical sensitivity to detect changes in BP was greatly enhanced; indeed changes could be detected in single subjects across experimental conditions in simulated data (Aston et al., 2000). When considering what is currently known about the neuroanatomy of the striatum (see above), it would seem prudent that voxel-based approaches are presented alongside ROI-based analyses.
Measurement of extrastriatal DA release
Although the expression of D2/3 receptors is highest in the striatum, dopaminergic projections from the dorsal midbrain show widespread efferents, additionally terminating in limbic, thalamic and cortical regions. DA acting within these regions is known, from research in experimental animals, to be important for diverse functions including stabilization of active representations relevant for working memory (Sawaguchi et al., 1991), episodic memory formation (Fujishiro et al., 2005; Umegaki et al., 2001) and affective-based learning (Baldi et al., 2007; de Oliveira et al., 2006; Pezze et al., 2004; Rosenkranz et al., 2002). There is some evidence in humans to suggest that DA manipulations using selective agents may influence similar functions (Cervenka et al., 2008; Gibbs et al., 2007; Mehta et al., 2005; Roesch-Ely et al., 2005), presumably mediated by changes in extrastriatal as well as striatal DA neurotransmission. The ability to reliably measure DA release in vivo in cortical and limbic regions outside the striatum would therefore enable the study of a broader range of functions modulated by DA neurotransmission, as well as investigation of potential interactions between extrastriatal and striatal DA systems (Pycock et al., 1980; Roberts et al., 1994).
To date, we are aware of three studies which have reported significant changes in extrastriatal [11C]raclopride BP following non-pharmacological stimuli (Garraux et al., 2007; Kaasinen et al., 2004; Sawamoto et al., 2008). The critical question here is whether or not DA release can be accurately quantified outside the striatum using [11C]raclopride (or other radiotracers – which will be discussed later). This question can be partly addressed by first asking whether measurement of [11C]raclopride outside the striatum is valid, as the expression of D2/3 receptors in extrastriatal regions is one to two degrees of magnitude lower than in the striatal areas (Camps et al., 1989; Hall et al., 1994). Early studies of [11C]raclopride distribution in the brain following bolus administration showed that there was no obvious accumulation of [11C]raclopride in cortical areas (Farde et al., 1987) and that [11C]raclopride specific binding in cortical areas was only slightly higher than values obtained for the cerebellum and white matter (Farde et al., 1988). Furthermore, ex vivo autoradiography data obtained using [3H]raclopride in human post-mortem brain tissue shows that specific binding in tissue taken from the frontal and temporal cortex is very low (Bmax <0.7 pmol/g) compared to that in the striatum (caudate Bmax ~14.7 pmol/g) and that no specific binding is detected in tissue from the amygdala, cinguli, hippocampus or cerebellum (Hall et al., 1988).
More recently, this issue has been addressed by Hirvonen et al. (2003) using three analyses of [11C]raclopride scans collected in eight individuals. First, test-retest reliability was quantified in the striatum, thalamus and temporal cortex. Using the putamen as a comparator, the thalamus showed good reliability based on the intraclass correlation coefficient (0.86) whereas the temporal cortex showed even better reliability (0.95). However, these calculations would have been affected by the higher between-subjects variability in these extrastriatal regions as indicated by the larger coefficients of variation. More telling is the range of within-subjects differences reported: the range increases from 16.87% in the putamen, to 26.03% in the thalamus and to 42.83% in the temporal cortex. Such marked variability is likely to influence the ability to detect BP differences following administration of pharmacological agents (which either induce DA release, or occupy D2/3 receptors) or conduction of behavioral tasks. The authors concluded that for the thalamus “the signal-to-noise for quantification may become too low … leading to an artifactual underestimation of measured D2 receptor occupancy” (Hirvonen et al., 2003). We infer that this also applies to the cortical regions with even lower BP values. This is exemplified in data from two subjects in whom receptor occupancy with the non-selective DA receptor antagonist haloperidol was also measured. A dose of 0.5mg haloperidol gave similar occupancy values in the putamen and thalamus, whereas a higher dose (1.5mg) was paradoxically associated with markedly lower occupancy in the thalamus, in line with predictions from the analysis of noise contributions (Hirvonen et al., 2003). We have recently conducted a DA D2/3 receptor occupancy study using [11C]raclopride and administration of 400mg sulpiride; striatal D2/3 occupancy following sulpiride administration is highly significant, but also very variable due to poor uptake of sulpiride into the brain (Mehta et al., 2008). As would be predicted by Hirvonen and colleagues (Hirvonen et al., 2003), we were able to detect D2/3 occupancy in the thalamus, but not the frontal cortex – indeed some subjects showed negative occupancy in this area (Pretorius et al., 2004), as illustrated in Figure 2.
A better approach, however, would be to compare [11C]raclopride BP with BP measured using a radiotracer which allows better estimation of D2/3 receptor density in extrastriatal regions – such as [11C]FLB457 and [18F]fallypride, which are very high (picomolar) affinity D2/3 receptor antagonists (Ito et al., 2008; Mukherjee et al., 1999; Olsson et al., 1999). Ito et al. (2008) measured regional binding potentials acquired in the same volunteers using both [11C]raclopride and [11C]FLB457. These data allow direct comparison of BP estimations in extrastriatal regions to be made using correlational analysis. We have performed this analysis using the data reported in the manuscript, and a strong positive relationship between the regional values across both tracers is apparent. However, this correlation is heavily influenced by the large striatal signals obtained for both radiotracers – importantly, there is no correlation between [11C]FLB457 and [11C]raclopride BP (rs=0.032; p=0.92) when striatal regions are removed from the analysis (see Figure 3). These data demonstrate that the inferior signal to noise ratio of [11C]raclopride in extrastriatal areas leads to poor quantification of DA D2 receptor availability when compared to the signal from a tracer specifically designed to quantify binding in such regions. While the correlation coefficient was close to zero and the number of volunteers in this study was typical of PET receptor studies (n=10) it would be important for this finding to be confirmed in a larger cohort and to be tested across individual brain regions including the thalamus and cortical regions.
Despite these concerns surrounding the validity of measurement of extrastriatal D2/3 receptors with [11C]raclopride, it remains possible to calculate signal changes in these regions and some authors have applied these calculations to the study of extrastriatal DA release with cognitive tasks, with some positive findings to date (Garraux et al., 2007; Sawamoto et al., 2008). A whole-brain, voxel-wise analysis of our recent findings of striatal DA release during a planning task (Lappin et al., 2009) also reveals changes in [11C]raclopride BP in extrastriatal regions (see Figure 4A). Statistically significant changes can be seen in a number of regions, most notably the anterior cingulate cortex. The figure also shows reduction in [11C]raclopride BP during planning in the region of the substantia nigra (left) and possibly the pituitary gland. One concern is that the BP values may be poorly quantified and indeed one subject had negative BP values in the anterior cingulate cortex. Significant changes were still present upon removing this outlier.
In light of the doubts regarding accurate estimation of low BP values as discussed above it is difficult to confidently attribute these apparent effects to changes in endogenous DA levels. This is compounded by the absence of clear experimental evidence relating actual DA release to changes in [11C]raclopride binding in extrastriatal regions. Nonetheless, close inspection of the BP curves (as shown in Figure 4B) for the anterior cingulate cortex during planning and rest show a separation of the signal across the entire experiment including the early frames acquired during tracer uptake where no differences in striatal BP values were observed. Again, these factors make it difficult for us to attribute the later changes to DA release. But what of the findings in the previous published studies? Here, we believe we must also be cautious for the same reasons, and due to additional statistical concerns. While we have noted changes that survive multiple comparisons correction across the whole brain volume, both Sawamoto et al., (2008) and Garraux et al., (2007) utilized ROI analyses (of areas within the anterior cingulate and caudal frontal cortex respectively), in order to limit the multiple comparisons correction required. This is, of course, an acceptable approach provided that the regions of interest are defined independently of the analysis reported. It is unclear for either of these studies whether this was the case. Indeed Garraux et al. (2008) explicitly state that multiple comparisons correction was conducted using a ‘5-mm-radius spherical volume centered on the peak’ (page 14438).
An interesting caveat with regards to measurement of extrastriatal DA release measured with [11C]raclopride may be the ventral tegmentum and substantia nigra. Within these regions D2/3 receptors are highly expressed, although not present on all projecting dopaminergic neurons (Lammel et al., 2008). However, the size of the midbrain dopaminergic nuclei relative to the typical resolution may compromise detection of DA release in this region. For example the size of the ventral tegmental area (~60mm3) would be of the same order of magnitude as a single voxel when the voxel size is approximately 4×4×4 mm. The substantia nigra may therefore contribute more to any midbrain signals seen, although without high quality localization of this region and partial volume correction any findings in these regions must be treated with caution. Thus, it is interesting to note that for our voxel-wise analysis of the planning task shown in Figure 4A (conducted without partial volume correction), significant BP change was observed in the region of the substantia nigra. We have also shown measurable receptor occupancy with 400mg sulpiride in the same region bilaterally, of the same degree as that seen in the striatum (Mehta et al., 2008).
In conclusion, it is clear that measurable signal in some extrastriatal regions is present for [11C]raclopride scans and that changes in BP can be calculated in the same regions relating to drug administration or task performance. However, the work of Hirvonen et al. (2003) and the analyses of receptor occupancy and re-analysis of Ito et al. (2008) presented here strongly question the validity of accurate quantification of cortical signal changes of [11C]raclopride BP.
Recent data suggest that extrastriatal [11C]FLB457 and [18F]fallypride binding may also be sensitive to competition with endogenous DA in man (Aalto et al., 2005; Christian et al., 2006; Cropley et al., 2008; Ko et al., 2009; Montgomery et al., 2007; Narendran et al., 2009; Riccardi et al., 2006a; Riccardi et al., 2006b; Slifstein et al., 2004), Of these radiotracers, recent data indicates that [11C]FLB457 may be more sensitive than [18F]fallypride in detecting increases in cortical DA release due to a higher signal to noise ratio (Narendran et al., 2009), and that the sensitivity of [18F]fallypride in measuring decreases in extracellular DA levels may be limited (Cropley et al., 2008). While further confirmation is required, these radiotracers may present the important opportunity to examine relationships between cortical DA release and cognitive function. To date, we are aware of three studies that have adopted this approach to measuring task-induced increases in extrastriatal DA release (Aalto et al., 2005; Christian et al., 2006; Ko et al., 2009). Using [18F]fallypride and the LSSRM model of Alpert et al., (2003), Christian et al., (2006) detected a significant increase in [18F]fallypride displacement in the thalamus as subjects performed a spatial attention task, and this increase in displacement was highly correlated with task performance. Using [11C]FLB457, Aalto et al., (2006) observed decreases in binding in the ventral anterior cingulate cortex during both a verbal working memory and a sustained attention task. Furthermore, in the ventrolateral frontal cortex and left medial temporal structures, [11C]FLB457 BP was lower during the verbal working memory task than during the sustained attention task (Aalto et al., 2005). Again using [11C]FLB457, Ko et al., (2009) have recently reported increases in DA release in the right dorsal anterior cingulate cortex during a card sorting test of cognitive flexibility, compared to a control task, indicating a role for prefrontal cortical DA in cognitive flexibility in man, in accordance with findings from animal research (Floresco et al., 2006). These results suggest that it may be possible to associate behavioral performance with DA release in extrastriatal as well as striatal brain areas using select tracers, allowing the role of frontal dopamine function in human cognition to be further explored.
Dopamine release during non-pharmacological paradigms
Returning to striatal DA release, we now review the findings reported in published studies of DA release following non-pharmacological stimuli. Whilst the published studies should be carefully considered with respect to the methodological factors outlined above, significant decreases in D2/3 radiotracer binding have been detected in many studies, as summarized in Table 3. Research on DA release has centered on four main areas into which the literature cited in Table 3 is organized: motor performance and sequential learning; reward-related processes; psychological and pain stress; and cognitive tasks and states. As can be seen by quick inspection of this table, for several of these modalities increased DA release is reported using different paradigms and radiotracer methodologies, often in studies performed at different research centers. Many behavioral tasks will include more than one of these component processes that may individually contribute to DA release – for example, motor responses are often required during behavioral tasks designed to assess cognitive performance. Although correlations between change in BP and the specific behavioral measures of interest can be explored, recent years have seen a growing trend towards the more refined approach of including a control scan, in which measures not under specific investigation (for example, motor output) are matched to the test condition.
Motor performance and sequential motor learning
Several studies have shown that D2/3 radiotracer BP in the dorsal striatum decreases when subjects perform repetitive limb movements during the scan; paradigms include a hand-writing task, foot extension/flexion and simple finger movements (Badgaiyan et al., 2003; Goerendt et al., 2003; Lappin et al., 2008; Lappin et al., 2009; Larisch et al., 1999; Ouchi et al., 2002; Schommartz et al., 2000). These decreases in BP have been reported following [123I]IBZM SPET (Larisch et al., 1999; Schommartz et al., 2000), paired bolus [11C]raclopride PET (Goerendt et al., 2003; Lappin et al., 2009; Ouchi et al., 2002) or[11C]raclopride bolus displacement (Badgaiyan et al., 2003) methodologies. The only study to report negative results administered [11C]raclopride after completion of a motor task (treadmill running) (Wang et al., 2000), suggesting that there may be a requirement for ongoing DA release in the presence of the radiotracer in order for significant effects to be observed. The positive study of Schommartz et al., (2000) was the first study of task-induced DA release to employ a non-resting control condition; [123I]IBZM binding in a handwriting task was compared to that in a reading task, thought to involve an equivalent cognitive load but without the motor requirements. As detailed in Table 3, this approach has since been adopted in a number of studies.
Some evidence suggests that DA release may also mediate motor learning. Widespread reductions in striatal [11C]raclopride binding have recently been reported during a finger sequence learning task using a single bolus plus constant infusion paradigm (Garraux et al., 2007), although as the control condition was not matched for motor output, DA release associated with motor learning could not be dissociated from that associated with motor performance. Use of motor control conditions to investigate changes in DA which may specifically relate to motor learning have been employed in two studies by Badgaiyan and colleagues (Badgaiyan et al., 2007; Badgaiyan et al., 2008). Here, both implicit and explicit learning of complex motor sequences, relative to a motor control condition, increased [11C]raclopride displacement in the caudate and putamen (Badgaiyan et al., 2007; Badgaiyan et al., 2008). However, as these studies used a [11C]raclopride single bolus displacement paradigm, confounding effects of blood flow changes cannot be excluded (see above). We have recently compared DA release during motor sequence learning and motor sequence execution within subjects using paired bolus [11C]raclopride scans (Lappin et al., 2009), and did not find any significant differences in [11C]raclopride between sequence learning and execution, although both conditions significantly decreased [11C]raclopride binding in the sensorimotor and associative striatum compared to resting baseline values. This result therefore questions the extent to which motor and cognitive tasks components may be separated in terms of DA release in striatal subdivisions.
11C-raclopride PET studies have investigated the role of striatal DA in several aspects of reward in humans. With respect to reward consumption, Small et al., 2003 have shown that decreases in [11C]raclopride BP occur in the dorsal caudate and dorsal putamen, following consumption of a ‘favorite meal’ just prior to scanning (Small et al., 2003). In this study, the feeding-induced decreases in [11C]raclopride BP, which were observed in previously food-deprived subjects, were correlated with subjective ratings of pleasantness, hunger and satiety.
Studies in experimental animals reveal that the relationship between reward and striatal DA levels is complex. Whilst microdialysis studies demonstrate that lever pressing for natural reinforcers, such as food, increases striatal DA release (e.g. Hernandez et al., 1988), further research indicates that it is the requirement for operant responding (lever pressing), rather than the presence of the reward itself, which is associated with increased DA (Salamone et al., 1994; Sokolowski et al., 1998). This is mirrored in human studies of DA release; decreased striatal 11C-raclopride BP is observed during an active (Zald et al., 2004) but not a passive (Hakyemez et al., 2007) reward task. Decreases in [11C]raclopride BP in the ventral and dorsal striatum have also recently been detected in Parkinsonian patients during a gambling task requiring active responses (Steeves et al., 2009). Interestingly, in the ventral striatum, the change in [11C]raclopride BP was greater in patients with a pathological gambling disorder than control patients, whilst baseline D2/3 receptor availability was lower (Steeves et al., 2009). This is accordant with animal research suggesting that low D2/3 receptor availability may mediate vulnerability to addiction (Dalley et al., 2007), and that aspects of addiction may be mediated through sensitized DA release (Robinson and Berridge, 2000; Volkow et al., 2006).
In animals, as a cue becomes paired with a reward during Pavlovian conditioning, increases in DA neuron firing rate become more tuned to the reward-predicting cue than to the reward itself (Schultz 1998), so that increases in striatal DA release occur on cue presentation (Kiyatkin et al., 1996; Phillips et al., 2003). Recently, cue-induced DA release has been investigated using a delayed monetary incentive task (Schott et al., 2008). In comparison to a neutral control condition (designed to minimize sensorimotor and cognitive differences between conditions), decreases in [11C]raclopride BP were observed in the left ventral striatum (nucleus accumbens). Volkow et al., (Volkow et al., 2002b; Volkow et al., 2006) have investigated cue-induced DA release in food-deprived or cocaine-addicted volunteers. In food-deprived subjects, food-associated cues did not significantly alter [11C]raclopride BP in the striatum, except when combined with methylphenidate (Volkow et al., 2002b). However, in cocaine-addicted volunteers, drug-associated cues delivered via a video of the simulated purchase, preparation and smoking of crack cocaine produced significant decreases in dorsal striatal [11C]raclopride BP. These changes correlated with self-reports of craving and may relate to habitual aspects of compulsive drug taking (Volkow et al., 2006). Together, these results are consistent with the hypothesis that reward anticipation and reinforcement learning may relate to DA responses in the ventral striatum, but that DA process linked to habitual behaviors in addiction are mediated by more dorsal striatal regions (Porrino et al., 2004).
There is some evidence that, in clinical disorders, drug placebos can also act as reward-predicting cues, in that placebo administration may lead to expectation of clinical benefits, such as pain relief, which function as rewards (de la Fuente-Fernandez et al., 2004). Placebo-induced DA release across the striatum has been observed in Parkinson’s Disease patients following administration of saline in place of apomorphine (de la Fuente-Fernandez et al., 2001; de la Fuente-Fernandez et al., 2002) and during sham rTMS (Strafella et al., 2006). In the apomorphine study, the change in [11C]raclopride binding in the dorsal striatum correlated with the amount of clinical benefit reported following placebo administration (de la Fuente-Fernandez et al., 2001; de la Fuente-Fernandez et al., 2002; de la Fuente-Fernandez et al., 2004) and a similar but non-significant trend was observed following rTMS (Strafella et al., 2006). Although only observed using voxel-wise and not ROI analysis, a similar result in the ventral striatum has recently been suggested following administration of a placebo for glucose in fasted men (Haltia et al., 2008). These studies, performed by different groups, both utilized paired bolus scans. Increased extracellular DA in the striatum in response to placebo administration has also been observed in analgesia studies using BI methodology; [11C]raclopride BP decreased in the placebo condition both during the expectation of pain (Scott et al., 2007a), and during the delivery of the painful stimulus (Scott et al., 2008). Here, the DA release in the ventral striatum appeared to be particularly associated with the placebo response (Scott et al., 2007a; Scott et al., 2008). Decreased [11C]raclopride BP may also be particularly apparent in the ventral striatum when placebo tablets are administered in place of psychostimulant drugs; when placebo tablets, identical to the previously administered amphetamine tablets, were given in an environmental setting previously paired with amphetamine administration, marked decreases in [11C]raclopride binding in the ventral striatum were detected (23%) (Boileau et al., 2007).
In the novel [11C]raclopride displacement method of Pappata et al., (2002,) significant [11C]raclopride displacement in the ventral striatum occurred in an unexpected monetary gain condition (Pappata et al., 2002). Using a carefully designed study with an appropriate sensorimotor control condition and an established [11C]raclopride modeling technique, it has been demonstrated that unpredictable monetary rewards increase DA levels in the medial left caudate nucleus (Zald et al., 2004). As stated above, in accordance with microdialysis studies of operant responding in animals (Salamone et al., 1994), this increase in DA appears dependent on the requirement for subjects to make a behavioral response, as no increase in DA was seen during a passive reward task (Hakyemez et al., 2008). Interestingly, during both active and passive reward tasks, increases in [11C]raclopride binding were detected in the putamen, indicating decreases in DA release, possibly due to withholding of expected rewards (Hakyemez et al., 2008; Zald et al., 2004). Similarly, when alcohol predicting cues were presented whilst subjects were in the scanner, but alcohol was not given until after the scan had finished, increases in [11C]raclopride binding were observed in the right ventral striatum (Yoder et al., 2009). Increases in [11C]raclopride binding have also been observed in the dorsal striatum of fasted men administered placebo for glucose (Haltia et al., 2008). Although unclear at present, these results may relate to decreases in DA neuronal firing which have been observed in animals when expected rewards are omitted (‘negative prediction error’) (Schultz, 1997; Schultz, 1998) and an altered balance between the potentially opposing effects (Grace, 1991) of phasic DA release and the level of tonic (population) dopaminergic activity on [11C]raclopride binding (Hakyemez et al., 2008). Whilst interesting, substantial work in experimental animals investigating changes in striatal [11C]raclopride binding in relation to tonic and phasic DA neuron firing, and under different reward paradigms in awake animals (Patel et al., 2008), is required before these effects can be clearly interpreted.
The animal literature on DA release in reward and reinforcement presents a complex picture, and the precise role of DA in different divisions of the striatum in reward and reinforcement learning is still under debate (Salamone 2007). Whilst these PET studies provide compelling evidence for DA release in the human striatum across several reward paradigms, the direction, magnitude and regional selectivity of these responses likely depends on factors such as reward / reinforcement contingencies and predictability, conditioning and habit formation, as is the case in the animal literature.
Psychological and pain stress
In animals, cortical and striatal DA release increases following exposure to stressors such as chronic restraint, foot or tail-shock (Abercrombie et al., 1989; Imperato et al., 1991; Sorg et al., 1991). Stress is believed to be an important factor in the development of disorders such as schizophrenia and depression, and this association may be mediated by molecular alterations in DA systems (Butzlaff et al., 1998; Howes et al., 2004; Thompson et al., 2004; Walker et al., 1997). The striatal DA response to stress using [11C]raclopride PET has been investigated using arithmetic tasks as psychological stressors (Montgomery et al., 2006a; Pruessner et al., 2004; Soliman et al., 2008), and pain stress (Scott et al., 2006; Scott et al., 2007b). The experimental design employed in two studies by the same group (Pruessner et al., 2004; Soliman et al., 2008) used an arithmetic task which was performed in-front of a study investigator, who regularly gave negative verbal feedback. This design is thought to particularly induce psychosocial stress. In the stress condition decreases in [11C]raclopride binding were apparent and these were particularly notable in the ventral striatum. Interestingly, the decreases in [11C]raclopride binding were only apparent in vulnerable individuals (those reporting low maternal care or scoring highly on a negative schizotypy scale). Under a different arithmetic task, but relative to a matched control condition and using dual condition BI [11C]raclopride administration, we were unable to detect any stress-induced DA release (Montgomery et al., 2006a). This difference may be because the task may not have loaded quite so highly on psychosocial stress, or may relate to the fact that only a small proportion of these volunteers reported low maternal care. In similarity to this, the bolus study of Volkow et al., (2004), performed in individuals who were not selected on the basis of stress vulnerability, showed no difference in [11C]raclopride binding during an arithmetic task, except in the presence of methylphenidate. Therefore, the vulnerability of the subjects, and the degree to which tasks load on psychosocial stress (in addition to the cognitive challenge of the arithmetic task) may be important in eliciting DA release.
The use of painful stimuli as stressors may cause a large DA response. Using BI methodology, large decreases in [11C]raclopride BP occurred across the striatum on administration of hypertonic saline to the masseter muscle (Scott et al., 2006; Scott et al., 2007b). Interestingly, whilst changes in dorsal striatal areas were particularly associated with pain ratings, those in the ventral striatum correlated with a negative affective state and fear ratings (Scott et al., 2006). These data indicate that striatal DA release in the human brain may occur in response to aversive (Scott et al., 2006; Scott et al., 2007b) as well as rewarding (Hakyemez et al., 2008; Small et al., 2003; Volkow et al., 2006; Zald et al., 2004) stimuli.
Cognitive tasks and states
Functional MRI and rCBF studies reveal striatal activation during performance of several cognitive tasks, including spatial planning, spatial working memory and set-shifting (Dagher et al., 1999; Mehta et al., 2003; Monchi et al., 2001; Monchi et al., 2006b; Owen et al., 1996; Owen 2004; Rogers et al., 2000). Although less work has been performed in this area, dopaminergic contributions to some aspects of cognitive functioning have been investigated using PET. In particular, decreases in [11C]raclopride BP were observed when planning a set shift (Monchi et al., 2006a), and during spatial planning (Lappin et al., 2009) and spatial working memory tasks (Sawamoto et al., 2008). Whilst decreases in [11C]raclopride BP were detected compared to non-resting control conditions in the investigations of Monchi et al., 2006a and Sawamoto et al., 2008; in the spatial planning investigation of Lappin et al., (2009) the cognitive components of the task could not be clearly separated from motor components. Interesting, the results from all these studies suggest that effects may be greatest in the caudate, which would be in accordance with predictions from striatal anatomy (Alexander et al., 1986; Haber et al., 2000) and the functional subdivision model (Martinez et al., 2003) which suggest that DA in the caudate (associative striatum) may particularly modulate cognitive functions.
Finally, some evidence suggests that [11C]raclopride BP values may also vary according to the internal cognitive state of the individual when no behavioral output is required. Yoga-Nidra mediation is associated with decreases in BP in the ventral striatum (Kjaer et al., 2002) and a small study suggested volunteer uncertainty of the experimental procedure (whether or not alcohol would be infused) also alters baseline BP (Yoder et al., 2008). Whilst further confirmation is required, this latter study, together with those of psychological stress in vulnerable individuals (Pruessner et al., 2004; Soliman et al., 2008) may illustrate the importance of carefully controlled experimental conditions during PET investigations of DA release.
These studies demonstrate that increases in DA release can be observed in the human striatum during performance of several behaviors to which a central role of DA has been ascribed from studies performed in experimental animals. Further credence to these findings is provided through the observation that decreases in [11C]raclopride BP or displacement have been repeatedly reported during motor, reward-related and cognitive tasks using an array of methodologies. Nonetheless, imaging task-induced DA release is also associated with significant potential for experimental bias, which may originate from a number of sources, including increases in head movement or changes in rCBF during the task condition. The relative sensitivity of the different methodological approaches to potential bias will be balanced against practical considerations when performing studies of this type and hence optimal experimental design may vary according to the hypothesis under investigation.
Although some association between regional changes in BP and discrete elements of task performance has been achieved using either correlational analysis or subtraction methods, further work using carefully designed control conditions is required to determine the extent to which these processes may be dissociated at the regional and functional level. The distribution of D2/3 receptors and characteristics of available D2/3 radiotracers dictates that, at present, confident detection of task-induced changes in extracellular DA levels is principally limited to the striatum. Although some encouraging results in extrastriatal regions have been reported using high-affinity D2/3 antagonist radiotracers (Aalto et al., 2005; Christian et al., 2006), further confirmation of the sensitivity of these radiotracers to extrastriatal alterations in DA is required.
To date, the majority of investigations into the dopaminergic basis of human behavior have been performed in healthy volunteers. A significant challenge for future research lies in the determination of associations between behavioral and cognitive symptoms of psychiatric and neurological disorders and aberrant DA release whilst performing relevant tasks. As the changes in BP that are detected are reasonably small, between-group comparisons are challenging and use of enhancement methodologies such as inhibition of DA reuptake may be particularly useful in this setting. Increased understanding of the links between abnormal DA release and the symptoms and progression of disorders such as schizophrenia, Parkinson’s disease and addiction may have important implications for clinical and therapeutic intervention strategies.
The authors would like to thank Prof. Alain Dagher (Montreal Neurological Institute, McGill University, Montreal, Canada) and Dr Stephanie Cragg (University of Oxford, UK) for their valuable input to this manuscript.
- Aalto S, Bruck A, Laine M, Nagren K, Rinne JO. Frontal and temporal dopamine release during working memory and attention tasks in healthy humans: a positron emission tomography study using the high-affinity dopamine D2 receptor ligand [11C]FLB 457. J.Neurosci. 2005;25:2471–2477. [PubMed]
- Abercrombie ED, Keefe KA, DiFrischia DS, Zigmond MJ. Differential effect of stress on in vivo dopamine release in striatum, nucleus accumbens, and medial frontal cortex. J.Neurochem. 1989;52:1655–1658. [PubMed]
- Abi-Dargham A, Gil R, Krystal J, Baldwin RM, Seibyl JP, Bowers M, van Dyck CH, Charney DS, Innis RB, Laruelle M. Increased striatal dopamine transmission in schizophrenia: confirmation in a second cohort. Am.J.Psychiatry. 1998;155:761–767. [PubMed]
- Alexander GE, DeLong MR, Strick PL. Parallel organization of functionally segregated circuits linking basal ganglia and cortex. Annu.Rev.Neurosci. 1986;9:357–381. [PubMed]
- Alpert NM, Badgaiyan RD, Livni E, Fischman AJ. A novel method for noninvasive detection of neuromodulatory changes in specific neurotransmitter systems. Neuroimage. 2003;19:1049–1060. [PubMed]
- Anstrom KK, Woodward DJ. Restraint increases dopaminergic burst firing in awake rats. Neuropsychopharmacology. 2005;30:1832–1840. [PubMed]
- Aston JA, Gunn RN, Worsley KJ, Ma Y, Evans AC, Dagher A. A statistical method for the analysis of positron emission tomography neuroreceptor ligand data. Neuroimage. 2000;12:245–256. [PubMed]
- Badgaiyan RD, Fischman AJ, Alpert NM. Striatal dopamine release during unrewarded motor task in human volunteers. Neuroreport. 2003;14:1421–1424. [PubMed]
- Badgaiyan RD, Fischman AJ, Alpert NM. Striatal dopamine release in sequential learning. Neuroimage. 2007;38:549–556. [PMC free article] [PubMed]
- Badgaiyan RD, Fischman AJ, Alpert NM. Explicit motor memory activates the striatal dopamine system. Neuroreport. 2008;19:409–412. [PubMed]
- Baldi E, Mariottini C, Bucherelli C. Substantia nigra role in fear conditioning consolidation. Neurobiol.Learn.Mem. 2007;87:133–139. [PubMed]
- Battle G. A block spin construction of ondelettes 1. Lemarie functions. Communications in Mathematical Physics. 1987;7:601–615.
- Bayer HM, Glimcher PW. Midbrain dopamine neurons encode a quantitative reward prediction error signal. Neuron. 2005;47:129–141. [PMC free article] [PubMed]
- Boileau I, Dagher A, Leyton M, Welfeld K, Booij L, Diksic M, Benkelfat C. Conditioned dopamine release in humans: a positron emission tomography [11C]raclopride study with amphetamine. J.Neurosci. 2007;27:3998–4003. [PubMed]
- Breier A, Adler CM, Weisenfeld N, Su TP, Elman I, Picken L, Malhotra AK, Pickar D. Effects of NMDA antagonism on striatal dopamine release in healthy subjects: application of a novel PET approach. Synapse. 1998;29:142–147. [PubMed]
- Breier A, Su TP, Saunders R, Carson RE, Kolachana BS, de BA, Weinberger DR, Weisenfeld N, Malhotra AK, Eckelman WC, Pickar D. Schizophrenia is associated with elevated amphetamine-induced synaptic dopamine concentrations: evidence from a novel positron emission tomography method. Proc.Natl.Acad.Sci.U.S.A. 1997;94:2569–2574. [PMC free article] [PubMed]
- Brody AL, Olmstead RE, London ED, Farahi J, Meyer JH, Grossman P, Lee GS, Huang J, Hahn EL, Mandelkern MA. Smoking-induced ventral striatum dopamine release. Am.J.Psychiatry. 2004;161:1211–1218. [PubMed]
- Butzlaff RL, Hooley JM. Expressed emotion and psychiatric relapse: a meta-analysis. Arch.Gen.Psychiatry. 1998;55:547–552. [PubMed]
- Camps M, Cortes R, Gueye B, Probst A, Palacios JM. Dopamine receptors in human brain: autoradiographic distribution of D2 sites. Neuroscience. 1989;28:275–290. [PubMed]
- Carelli RM, Deadwyler SA. A comparison of nucleus accumbens neuronal firing patterns during cocaine self-administration and water reinforcement in rats. J.Neurosci. 1994;14:7735–7746. [PubMed]
- Carson RE. PET physiological measurements using constant infusion. Nucl.Med.Biol. 2000;27:657–660. [PubMed]
- Carson RE, Breier A, de BA, Saunders RC, Su TP, Schmall B, Der MG, Pickar D, Eckelman WC. Quantification of amphetamine-induced changes in [11C]raclopride binding with continuous infusion. J.Cereb.Blood Flow Metab. 1997;17:437–447. [PubMed]
- Carson RE, Channing MA, Blasberg RG, Dunn BB, Cohen RM, Rice KC, Herscovitch P. Comparison of bolus and infusion methods for receptor quantitation: application to [18F]cyclofoxy and positron emission tomography. J.Cereb.Blood Flow Metab. 1993;13:24–42. [PubMed]
- Cervenka S, Backman L, Cselenyi Z, Halldin C, Farde L. Associations between dopamine D2-receptor binding and cognitive performance indicate functional compartmentalization of the human striatum. Neuroimage. 2008;40:1287–1295. [PubMed]
- Cheramy A, Romo R, Glowinski J. The relative roles of neuronal activity and direct presynaptic mechanisms in controlling the release of dopamine from the cat caudate nucleus. Ann.N.Y.Acad.Sci. 1986;473:80–91. [PubMed]
- Christian BT, Lehrer DS, Shi B, Narayanan TK, Strohmeyer PS, Buchsbaum MS, Mantil JC. Measuring dopamine neuromodulation in the thalamus: using [F-18]fallypride PET to study dopamine release during a spatial attention task. Neuroimage. 2006;31:139–152. [PubMed]
- Ciliax BJ, Heilman C, Demchyshyn LL, Pristupa ZB, Ince E, Hersch SM, Niznik HB, Levey AI. The dopamine transporter: immunochemical characterization and localization in brain. J.Neurosci. 1995;15:1714–1723. [PubMed]
- Cragg SJ, Rice ME. DAncing past the DAT at a DA synapse. Trends Neurosci. 2004;27:270–277. [PubMed]
- Cropley VL, Innis RB, Nathan PJ, Brown AK, Sangare JL, Lerner A, Ryu YH, Sprague KE, Pike VW, Fujita M. Small effect of dopamine release and no effect of dopamine depletion on [18F]fallypride binding in healthy humans. Synapse. 2008;62:399–408. [PubMed]
- Cumming P, Wong DF, Gillings N, Hilton J, Scheffel U, Gjedde A. Specific binding of [(11)C]raclopride and N-[(3)H]propyl-norapomorphine to dopamine receptors in living mouse striatum: occupancy by endogenous dopamine and guanosine triphosphate-free G protein. J.Cereb.Blood Flow Metab. 2002;22:596–604. [PubMed]
- Dagher A, Gunn RN, Lockwood G, Cunningham VJ, Grasby PM, Brooks DJ. Measuring Neurotransmitter Release with PET: Methodological Issues. 1998:449–454.
- Dagher A, Owen AM, Boecker H, Brooks DJ. Mapping the network for planning: a correlational PET activation study with the Tower of London task. Brain. 1999;122(Pt 10):1973–1987. [PubMed]
- Dayan P, Balleine BW. Reward, motivation, and reinforcement learning. Neuron. 2002;36:285–298. [PubMed]
- de la Fuente-Fernandez, Phillips AG, Zamburlini M, Sossi V, Calne DB, Ruth TJ, Stoessl AJ. Dopamine release in human ventral striatum and expectation of reward. Behav.Brain Res. 2002;136:359–363. [PubMed]
- de la Fuente-Fernandez, Ruth TJ, Sossi V, Schulzer M, Calne DB, Stoessl AJ. Expectation and dopamine release: mechanism of the placebo effect in Parkinson’s disease. Science. 2001;293:1164–1166. [PubMed]
- de la Fuente-Fernandez, Schulzer M, Stoessl AJ. Placebo mechanisms and reward circuitry: clues from Parkinson’s disease. Biol.Psychiatry. 2004;56:67–71. [PubMed]
- de Oliveira AR, Reimer AE, Brandao ML. Dopamine D2 receptor mechanisms in the expression of conditioned fear. Pharmacol.Biochem.Behav. 2006;84:102–111. [PubMed]
- Dewey SL, Brodie JD, Fowler JS, MacGregor RR, Schlyer DJ, King PT, Alexoff DL, Volkow ND, Shiue CY, Wolf AP. Positron emission tomography (PET) studies of dopaminergic/cholinergic interactions in the baboon brain. Synapse. 1990;6:321–327. [PubMed]
- Dewey SL, Logan J, Wolf AP, Brodie JD, Angrist B, Fowler JS, Volkow ND. Amphetamine induced decreases in (18F)-N-methylspiroperidol binding in the baboon brain using positron emission tomography (PET) Synapse. 1991;7:324–327. [PubMed]
- Dewey SL, Smith GS, Logan J, Brodie JD, Simkowitz P, MacGregor RR, Fowler JS, Volkow ND, Wolf AP. Effects of central cholinergic blockade on striatal dopamine release measured with positron emission tomography in normal human subjects. Proc.Natl.Acad.Sci.U.S.A. 1993;90:11816–11820. [PMC free article] [PubMed]
- Drevets WC, Gautier C, Price JC, Kupfer DJ, Kinahan PE, Grace AA, Price JL, Mathis CA. Amphetamine-induced dopamine release in human ventral striatum correlates with euphoria. Biol.Psychiatry. 2001;49:81–96. [PubMed]
- Dugast C, Suaud-Chagny MF, Gonon F. Continuous in vivo monitoring of evoked dopamine release in the rat nucleus accumbens by amperometry. Neuroscience. 1994;62:647–654. [PubMed]
- Endres CJ, Carson RE. Assessment of dynamic neurotransmitter changes with bolus or infusion delivery of neuroreceptor ligands. J.Cereb.Blood Flow Metab. 1998;18:1196–1210. [PubMed]
- Endres CJ, Kolachana BS, Saunders RC, Su T, Weinberger D, Breier A, Eckelman WC, Carson RE. Kinetic modeling of [11C]raclopride: combined PET-microdialysis studies. J.Cereb.Blood Flow Metab. 1997;17:932–942. [PubMed]
- Farde L, Eriksson L, Blomquist G, Halldin C. Kinetic analysis of central [11C]raclopride binding to D2-dopamine receptors studied by PET–a comparison to the equilibrium analysis. J.Cereb.Blood Flow Metab. 1989;9:696–708. [PubMed]
- Farde L, Halldin C, Stone-Elander S, Sedvall G. PET analysis of human dopamine receptor subtypes using 11C-SCH 23390 and 11C-raclopride. Psychopharmacology (Berl) 1987;92:278–284. [PubMed]
- Farde L, Nordstrom AL, Wiesel FA, Pauli S, Halldin C, Sedvall G. Positron emission tomographic analysis of central D1 and D2 dopamine receptor occupancy in patients treated with classical neuroleptics and clozapine. Relation to extrapyramidal side effects. Arch.Gen.Psychiatry. 1992;49:538–544. [PubMed]
- Farde L, Pauli S, Hall H, Eriksson L, Halldin C, Hogberg T, Nilsson L, Sjogren I, Stone-Elander S. Stereoselective binding of 11C-raclopride in living human brain–a search for extrastriatal central D2-dopamine receptors by PET. Psychopharmacology (Berl) 1988;94:471–478. [PubMed]
- Fischer RE, Morris ED, Alpert NM, Fischman AJ. In vivo imaging of neuromodulatory synaptic transmission using PET: A review of relevant neurophysiology. Human Brain Mapping. 1995;3:24–34.
- Flaherty AW, Graybiel AM. Input-output organization of the sensorimotor striatum in the squirrel monkey. J.Neurosci. 1994;14:599–610. [PubMed]
- Floresco SB, West AR, Ash B, Moore H, Grace AA. Afferent modulation of dopamine neuron firing differentially regulates tonic and phasic dopamine transmission. Nat.Neurosci. 2003;6:968–973. [PubMed]
- Freedman SB, Patel S, Marwood R, Emms F, Seabrook GR, Knowles MR, McAllister G. Expression and pharmacological characterization of the human D3 dopamine receptor. J.Pharmacol.Exp.Ther. 1994;268:417–426. [PubMed]
- Friston KJ, Holmes AP, Worsley KJ, Poline JB, Frith CD, Frackowiak RSJ. Statistical parametric maps in functional imaging: a general linear approach. Human Brain Mapping. 1995;2:189–210.
- Fujishiro H, Umegaki H, Suzuki Y, Oohara-Kurotani S, Yamaguchi Y, Iguchi A. Dopamine D2 receptor plays a role in memory function: implications of dopamine-acetylcholine interaction in the ventral hippocampus. Psychopharmacology (Berl) 2005;182:253–261. [PubMed]
- Fuxe K, Dahlstrom A, Hoistad M, Marcellino D, Jansson A, Rivera A, az-Cabiale Z, Jacobsen K, Tinner-Staines B, Hagman B, Leo G, Staines W, Guidolin D, Kehr J, Genedani S, Belluardo N, Agnati LF. From the Golgi-Cajal mapping to the transmitter-based characterization of the neuronal networks leading to two modes of brain communication: wiring and volume transmission. Brain Res.Rev. 2007;55:17–54. [PubMed]
- Garraux G, Peigneux P, Carson RE, Hallett M. Task-related interaction between basal ganglia and cortical dopamine release. J.Neurosci. 2007;27:14434–14441. [PubMed]
- Garris PA, Ciolkowski EL, Pastore P, Wightman RM. Efflux of dopamine from the synaptic cleft in the nucleus accumbens of the rat brain. J.Neurosci. 1994;14:6084–6093. [PubMed]
- Gibbs AA, Naudts KH, Spencer EP, David AS. The role of dopamine in attentional and memory biases for emotional information. Am.J.Psychiatry. 2007;164:1603–1609. [PubMed]
- Goerendt IK, Messa C, Lawrence AD, Grasby PM, Piccini P, Brooks DJ. Dopamine release during sequential finger movements in health and Parkinson’s disease: a PET study. Brain. 2003;126:312–325. [PubMed]
- Goggi JL, Sardini A, Egerton A, Strange PG, Grasby PM. Agonist-dependent internalization of D2 receptors: Imaging quantification by confocal microscopy. Synapse. 2007;61:231–241. [PubMed]
- Gonon F. Prolonged and extrasynaptic excitatory action of dopamine mediated by D1 receptors in the rat striatum in vivo. J.Neurosci. 1997;17:5972–5978. [PubMed]
- Gonon F, Burie JB, Jaber M, oit-Marand M, Dumartin B, Bloch B. Geometry and kinetics of dopaminergic transmission in the rat striatum and in mice lacking the dopamine transporter. Prog.Brain Res. 2000;125:291–302. [PubMed]
- Grace AA. Phasic versus tonic dopamine release and the modulation of dopamine system responsivity: a hypothesis for the etiology of schizophrenia. Neuroscience. 1991;41:1–24. [PubMed]
- Grace AA. Physiology of the normal and dopamine-depleted basal ganglia: insights into levodopa pharmacotherapy. Mov Disord. 2008;23(Suppl 3):S560–S569. [PubMed]
- Grace AA, Bunney BS. The control of firing pattern in nigral dopamine neurons: burst firing. J.Neurosci. 1984a;4:2877–2890. [PubMed]
- Grace AA, Bunney BS. The control of firing pattern in nigral dopamine neurons: single spike firing. J.Neurosci. 1984b;4:2866–2876. [PubMed]
- Green MV, Seidel J, Stein SD, Tedder TE, Kempner KM, Kertzman C, Zeffiro TA. Head movement in normal subjects during simulated PET brain imaging with and without head restraint. J.Nucl.Med. 1994;35:1538–1546. [PubMed]
- Groves PM, Linder JC, Young SJ. 5-hydroxydopamine-labeled dopaminergic axons: three-dimensional reconstructions of axons, synapses and postsynaptic targets in rat neostriatum. Neuroscience. 1994;58:593–604. [PubMed]
- Gunn RN, Lammertsma AA, Hume SP, Cunningham VJ. Parametric imaging of ligand-receptor binding in PET using a simplified reference region model. Neuroimage. 1997;6:279–287. [PubMed]
- Haber SN, Fudge JL, McFarland NR. Striatonigrostriatal pathways in primates form an ascending spiral from the shell to the dorsolateral striatum. J.Neurosci. 2000;20:2369–2382. [PubMed]
- Hakyemez HS, Dagher A, Smith SD, Zald DH. Striatal dopamine transmission in healthy humans during a passive monetary reward task. Neuroimage. 2008;39:2058–2065. [PubMed]
- Hall H, Farde L, Sedvall G. Human dopamine receptor subtypes–in vitro binding analysis using 3H-SCH 23390 and 3H-raclopride. J.Neural Transm. 1988;73:7–21. [PubMed]
- Hall H, Sedvall G, Magnusson O, Kopp J, Halldin C, Farde L. Distribution of D1- and D2-dopamine receptors, and dopamine and its metabolites in the human brain. Neuropsychopharmacology. 1994;11:245–256. [PubMed]
- Haltia LT, Rinne JO, Helin S, Parkkola R, Nagren K, Kaasinen V. Effects of intravenous placebo with glucose expectation on human basal ganglia dopaminergic function. Synapse. 2008;62:682–688. [PubMed]
- Hammers A, Allom R, Koepp MJ, Free SL, Myers R, Lemieux L, Mitchell TN, Brooks DJ, Duncan JS. Three-dimensional maximum probability atlas of the human brain, with particular reference to the temporal lobe. Hum Brain Mapp. 2003;19:224–247. [PubMed]
- Hernandez L, Hoebel BG. Food reward and cocaine increase extracellular dopamine in the nucleus accumbens as measured by microdialysis. Life Sci. 1988;42:1705–1712. [PubMed]
- Hersch SM, Ciliax BJ, Gutekunst CA, Rees HD, Heilman CJ, Yung KK, Bolam JP, Ince E, Yi H, Levey AI. Electron microscopic analysis of D1 and D2 dopamine receptor proteins in the dorsal striatum and their synaptic relationships with motor corticostriatal afferents. J.Neurosci. 1995;15:5222–5237. [PubMed]
- Hirvonen J, Aalto S, Lumme V, Nagren K, Kajander J, Vilkman H, Hagelberg N, Oikonen V, Hietala J. Measurement of striatal and thalamic dopamine D2 receptor binding with 11C-raclopride. Nucl.Med.Commun. 2003;24:1207–1214. [PubMed]
- Houston GC, Hume SP, Hirani E, Goggi JL, Grasby PM. Temporal characterisation of amphetamine-induced dopamine release assessed with [11C]raclopride in anaesthetised rodents. Synapse. 2004;51:206–212. [PubMed]
- Howes OD, McDonald C, Cannon M, Arseneault L, Boydell J, Murray RM. Pathways to schizophrenia: the impact of environmental factors. Int.J.Neuropsychopharmacol. 2004;7(Suppl 1):S7–S13. [PubMed]
- Hume SP, Myers R, Bloomfield PM, Opacka-Juffry J, Cremer JE, Ahier RG, Luthra SK, Brooks DJ, Lammertsma AA. Quantitation of carbon-11-labeled raclopride in rat striatum using positron emission tomography. Synapse. 1992;12:47–54. [PubMed]
- Hwang DR, Kegeles LS, Laruelle M. (−)-N-[(11)C]propyl-norapomorphine: a positron-labeled dopamine agonist for PET imaging of D(2) receptors. Nucl.Med.Biol. 2000;27:533–539. [PubMed]
- Hyland BI, Reynolds JN, Hay J, Perk CG, Miller R. Firing modes of midbrain dopamine cells in the freely moving rat. Neuroscience. 2002;114:475–492. [PubMed]
- Imperato A, Puglisi-Allegra S, Casolini P, Angelucci L. Changes in brain dopamine and acetylcholine release during and following stress are independent of the pituitary-adrenocortical axis. Brain Res. 1991;538:111–117. [PubMed]
- Innis RB, Cunningham VJ, Delforge J, Fujita M, Gjedde A, Gunn RN, Holden J, Houle S, Huang SC, Ichise M, Iida H, Ito H, Kimura Y, Koeppe RA, Knudsen GM, Knuuti J, Lammertsma AA, Laruelle M, Logan J, Maguire RP, Mintun MA, Morris ED, Parsey R, Price JC, Slifstein M, Sossi V, Suhara T, Votaw JR, Wong DF, Carson RE. Consensus nomenclature for in vivo imaging of reversibly binding radioligands. J.Cereb.Blood Flow Metab. 2007;27:1533–1539. [PubMed]
- Ito H, Hietala J, Blomqvist G, Halldin C, Farde L. Comparison of the transient equilibrium and continuous infusion method for quantitative PET analysis of [11C]raclopride binding. J.Cereb.Blood Flow Metab. 1998;18:941–950. [PubMed]
- Ito H, Takahashi H, Arakawa R, Takano H, Suhara T. Normal database of dopaminergic neurotransmission system in human brain measured by positron emission tomography. Neuroimage. 2008;39:555–565. [PubMed]
- Kaasinen V, Aalto S, Nagren K, Rinne JO. Expectation of caffeine induces dopaminergic responses in humans. Eur.J.Neurosci. 2004;19:2352–2356. [PubMed]
- Karreman M, Moghaddam B. The prefrontal cortex regulates the basal release of dopamine in the limbic striatum: an effect mediated by ventral tegmental area. J.Neurochem. 1996;66:589–598. [PubMed]
- Kiyatkin EA, Stein EA. Conditioned changes in nucleus accumbens dopamine signal established by intravenous cocaine in rats. Neurosci.Lett. 1996;211:73–76. [PubMed]
- Kjaer TW, Bertelsen C, Piccini P, Brooks D, Alving J, Lou HC. Increased dopamine tone during meditation-induced change of consciousness. Brain Res.Cogn Brain Res. 2002;13:255–259. [PubMed]
- Ko JH, Ptito A, Monchi O, Cho SS, Van Eimeren T, Pellecchia G, Ballanger B, Rusjan P, Houle S, Strafella AP. Increased dopamine release in the right anterior congulate cortex during the performance of a sorting task: A [11C]FLB 457 PET study. Neuroimage. 2009;46:516–521. [PMC free article] [PubMed]
- Koepp MJ, Gunn RN, Grasby PM, Bloomfield PM, Cunningham VJ. Changes in cerebral blood flow during a videogame: a quantitative H2 15-O PET study. Neuroimage. 2000;11:S7.
- Koepp MJ, Gunn RN, Lawrence AD, Cunningham VJ, Dagher A, Jones T, Brooks DJ, Bench CJ, Grasby PM. Evidence for striatal dopamine release during a video game. Nature. 1998;393:266–268. [PubMed]
- Kortekaas R, Maguire RP, Cremers TI, Dijkstra D, van WA, Leenders KL. In vivo binding behavior of dopamine receptor agonist (+)-PD 128907 and implications for the “ceiling effect” in endogenous competition studies with [(11)C]raclopride-a positron emission tomography study in Macaca mulatta. J.Cereb.Blood Flow Metab. 2004;24:531–535. [PubMed]
- Kunishio K, Haber SN. Primate cingulostriatal projection: limbic striatal versus sensorimotor striatal input. J.Comp Neurol. 1994;350:337–356. [PubMed]
- Lammel S, Hetzel A, Hackel O, Jones I, Liss B, Roeper J. Unique properties of mesoprefrontal neurons within a dual mesocorticolimbic dopamine system. Neuron. 2008;57:760–773. [PubMed]
- Lammertsma AA, Bench CJ, Hume SP, Osman S, Gunn K, Brooks DJ, Frackowiak RS. Comparison of methods for analysis of clinical [11C]raclopride studies. J.Cereb.Blood Flow Metab. 1996a;16:42–52. [PubMed]
- Lammertsma AA, Hume SP. Simplified reference tissue model for PET receptor studies. Neuroimage. 1996b;4:153–158. [PubMed]
- Lappin JM, Reeves SJ, Mehta MA, Egerton A, Coulson M, Grasby PM. Dopamine release in the human striatum: motor and cognitive tasks revisited. J.Cereb.Blood Flow Metab. 2008 [PubMed]
- Lappin JM, Reeves SJ, Mehta MA, Egerton A, Coulson M, Grasby PM. Dopamine release in the human striatum: motor and cognitive tasks revisited. J.Cereb.Blood Flow Metab. 2009;29:554–564. [PubMed]
- Larisch R, Schommartz B, Vosberg H, Muller-Gartner HW. Influence of motor activity on striatal dopamine release: A study using iodobenzamide and SPECT. Neuroimage. 1999;10:261–268. [PubMed]
- Laruelle M. Imaging synaptic neurotransmission with in vivo binding competition techniques: a critical review. J.Cereb.Blood Flow Metab. 2000a;20:423–451. [PubMed]
- Laruelle M. The role of model-based methods in the development of single scan techniques. Nucl.Med.Biol. 2000b;27:637–642. [PubMed]
- Laruelle M, bi-Dargham A, Gil R, Kegeles L, Innis R. Increased dopamine transmission in schizophrenia: relationship to illness phases. Biol.Psychiatry. 1999;46:56–72. [PubMed]
- Laruelle M, bi-Dargham A, van Dyck CH, Gil R, D’Souza CD, Erdos J, McCance E, Rosenblatt W, Fingado C, Zoghbi SS, Baldwin RM, Seibyl JP, Krystal JH, Charney DS, Innis RB. Single photon emission computerized tomography imaging of amphetamine-induced dopamine release in drug-free schizophrenic subjects. Proc.Natl.Acad.Sci.U.S.A. 1996;93:9235–9240. [PMC free article] [PubMed]
- Leviel V, Gobert A, Guibert B. The glutamate-mediated release of dopamine in the rat striatum: further characterization of the dual excitatory-inhibitory function. Neuroscience. 1990;39:305–312. [PubMed]
- Logan J, Dewey SL, Wolf AP, Fowler JS, Brodie JD, Angrist B, Volkow ND, Gatley SJ. Effects of endogenous dopamine on measures of [18F]N-methylspiroperidol binding in the basal ganglia: comparison of simulations and experimental results from PET studies in baboons. Synapse. 1991;9:195–207. [PubMed]
- Logan J, Fowler JS, Dewey SL, Volkow ND, Gatley SJ. A consideration of the dopamine D2 receptor monomer-dimer equilibrium and the anomalous binding properties of the dopamine D2 receptor ligand, N-methyl spiperone. J.Neural Transm. 2001a;108:279–286. [PubMed]
- Logan J, Fowler JS, Dewey SL, Volkow ND, Gatley SJ. A consideration of the dopamine D2 receptor monomer-dimer equilibrium and the anomalous binding properties of the dopamine D2 receptor ligand, N-methyl spiperone. J.Neural Transm. 2001b;108:279–286. [PubMed]
- Logan J, Fowler JS, Volkow ND, Wang GJ, Ding YS, Alexoff DL. Distribution volume ratios without blood sampling from graphical analysis of PET data. J.Cereb.Blood Flow Metab. 1996;16:834–840. [PubMed]
- Logan J, Fowler JS, Volkow ND, Wolf AP, Dewey SL, Schlyer DJ, MacGregor RR, Hitzemann R, Bendriem B, Gatley SJ. Graphical analysis of reversible radioligand binding from time-activity measurements applied to [N-11C-methyl]-(−)-cocaine PET studies in human subjects. J.Cereb.Blood Flow Metab. 1990;10:740–747. [PubMed]
- Logan J, Volkow ND, Fowler JS, Wang GJ, Dewey SL, MacGregor R, Schlyer D, Gatley SJ, Pappas N, King P. Effects of blood flow on [11C]raclopride binding in the brain: model simulations and kinetic analysis of PET data. J.Cereb.Blood Flow Metab. 1994;14:995–1010. [PubMed]
- Marenco S, Carson RE, Berman KF, Herscovitch P, Weinberger DR. Nicotine-induced dopamine release in primates measured with [11C]raclopride PET. Neuropsychopharmacology. 2004;29:259–268. [PubMed]
- Martinez D, Slifstein M, Broft A, Mawlawi O, Hwang DR, Huang Y, Cooper T, Kegeles L, Zarahn E, bi-Dargham A, Haber SN, Laruelle M. Imaging human mesolimbic dopamine transmission with positron emission tomography. Part II: amphetamine-induced dopamine release in the functional subdivisions of the striatum. J.Cereb.Blood Flow Metab. 2003;23:285–300. [PubMed]
- Mawlawi O, Martinez D, Slifstein M, Broft A, Chatterjee R, Hwang DR, Huang Y, Simpson N, Ngo K, Van HR, Laruelle M. Imaging human mesolimbic dopamine transmission with positron emission tomography: I. Accuracy and precision of D(2) receptor parameter measurements in ventral striatum. J.Cereb.Blood Flow Metab. 2001;21:1034–1057. [PubMed]
- Mehta MA, Hinton EC, Montgomery AJ, Bantick RA, Grasby PM. Sulpiride and mnemonic function: effects of a dopamine D2 receptor antagonist on working memory, emotional memory and long-term memory in healthy volunteers. J.Psychopharmacol. 2005;19:29–38. [PubMed]
- Mehta MA, McGowan SW, Lawrence AD, Aitken MR, Montgomery AJ, Grasby PM. Systemic sulpiride modulates striatal blood flow: relationships to spatial working memory and planning. Neuroimage. 2003;20:1982–1994. [PubMed]
- Mehta MA, Montgomery AJ, Kitamura Y, Grasby PM. Dopamine D2 receptor occupancy levels of acute sulpiride challenges that produce working memory and learning impairments in healthy volunteers. Psychopharmacology (Berl) 2008;196:157–165. [PubMed]
- Meyer JH, Gunn RN, Myers R, Grasby PM. Assessment of spatial normalization of PET ligand images using ligand-specific templates. Neuroimage. 1999;9:545–553. [PubMed]
- Mintun MA, Raichle ME, Kilbourn MR, Wooten GF, Welch MJ. A quantitative model for the in vivo assessment of drug binding sites with positron emission tomography. Ann.Neurol. 1984;15:217–227. [PubMed]
- Monchi O, Ko JH, Strafella AP. Striatal dopamine release during performance of executive functions: A [(11)C] raclopride PET study. Neuroimage. 2006a;33:907–912. [PMC free article] [PubMed]
- Monchi O, Petrides M, Petre V, Worsley K, Dagher A. Wisconsin Card Sorting revisited: distinct neural circuits participating in different stages of the task identified by event-related functional magnetic resonance imaging. J.Neurosci. 2001;21:7733–7741. [PubMed]
- Monchi O, Petrides M, Strafella AP, Worsley KJ, Doyon J. Functional role of the basal ganglia in the planning and execution of actions. Ann.Neurol. 2006b;59:257–264. [PubMed]
- Montague PR, Dayan P, Sejnowski TJ. A framework for mesencephalic dopamine systems based on predictive Hebbian learning. J.Neurosci. 1996;16:1936–1947. [PubMed]
- Montague PR, Hyman SE, Cohen JD. Computational roles for dopamine in behavioural control. Nature. 2004;431:760–767. [PubMed]
- Montgomery AJ, Asselin MC, Farde L, Grasby PM. Measurement of methylphenidate-induced change in extrastriatal dopamine concentration using [11C]FLB 457 PET. J.Cereb.Blood Flow Metab. 2007;27:369–377. [PubMed]
- Montgomery AJ, Mehta MA, Grasby PM. Is psychological stress in man associated with increased striatal dopamine levels?: A [11C]raclopride PET study. Synapse. 2006a;60:124–131. [PubMed]
- Montgomery AJ, Thielemans K, Mehta MA, Turkheimer F, Mustafovic S, Grasby PM. Correction of head movement on PET studies: comparison of methods. J.Nucl.Med. 2006b;47:1936–1944. [PubMed]
- Morris ED, Fischer RE, Alpert NM, Rauch SL, Fischman AJ. In vivo imaging of neuromodulation using positron emission tomography; Optimal ligand characteristics and task length for detection of activation. Human Brain Mapping. 1995;3:35–55.
- Morris ED, Yoder KK. Positron emission tomography displacement sensitivity: predicting binding potential change for positron emission tomography tracers based on their kinetic characteristics. J.Cereb.Blood Flow Metab. 2007;27:606–617. [PubMed]
- Mukherjee J, Narayanan TK, Christian BT, Shi B, Dunigan KA, Mantil J. In vitro and in vivo evaluation of the binding of the dopamine D2 receptor agonist (11)C-(R,S)-5-hydroxy-2-(di-n-propylamino)tetralin in rodents and nonhuman primate. Synapse. 2000;37:64–70. [PubMed]
- Mukherjee J, Narayanan TK, Christian BT, Shi B, Yang ZY. Binding characteristics of high-affinity dopamine D2/D3 receptor agonists, 11C-PPHT and 11C-ZYY-339 in rodents and imaging in non-human primates by PET. Synapse. 2004;54:83–91. [PubMed]
- Mukherjee J, Yang ZY, Brown T, Lew R, Wernick M, Ouyang X, Yasillo N, Chen CT, Mintzer R, Cooper M. Preliminary assessment of extrastriatal dopamine D-2 receptor binding in the rodent and nonhuman primate brains using the high affinity radioligand, 18F-fallypride. Nucl.Med.Biol. 1999;26:519–527. [PubMed]
- Murase S, Grenhoff J, Chouvet G, Gonon FG, Svensson TH. Prefrontal cortex regulates burst firing and transmitter release in rat mesolimbic dopamine neurons studied in vivo. Neurosci.Lett. 1993;157:53–56. [PubMed]
- Narendran R, Frankle WG, Mason NS, Rabiner EA, Gunn RN, Searle GE, Vora S, Litschge M, Kendro S, Cooper TB, Mathis CA, Laruelle M. Positron emission tomography imaging of amphetamine-induced dopamine release in the human cortex: A comparative evaluation of the high affinity dopamine D(2/3) radiotracers [(11)C]FLB 457 and [(11)C]fallypride. Synapse. 2009;63:447–461. [PubMed]
- Narendran R, Hwang DR, Slifstein M, Talbot PS, Erritzoe D, Huang Y, Cooper TB, Martinez D, Kegeles LS, bi-Dargham A, Laruelle M. In vivo vulnerability to competition by endogenous dopamine: comparison of the D2 receptor agonist radiotracer (−)-N-[11C]propyl-norapomorphine ([11C]NPA) with the D2 receptor antagonist radiotracer [11C]-raclopride. Synapse. 2004;52:188–208. [PubMed]
- Narendran R, Slifstein M, Guillin O, Hwang Y, Hwang DR, Scher E, Reeder S, Rabiner E, Laruelle M. Dopamine (D2/3) receptor agonist positron emission tomography radiotracer [11C]-(+)-PHNO is a D3 receptor preferring agonist in vivo. Synapse. 2006;60:485–495. [PubMed]
- Neigh GN, Arnold HM, Sarter M, Bruno JP. Dissociations between the effects of intra-accumbens administration of amphetamine and exposure to a novel environment on accumbens dopamine and cortical acetylcholine release. Brain Res. 2001;894:354–358. [PubMed]
- Niv Y. Cost, benefit, tonic, phasic: what do response rates tell us about dopamine and motivation? Ann.N.Y.Acad.Sci. 2007;1104:357–376. [PubMed]
- Olsson H, Halldin C, Swahn CG, Farde L. Quantification of [11C]FLB 457 binding to extrastriatal dopamine receptors in the human brain. J.Cereb.Blood Flow Metab. 1999;19:1164–1173. [PubMed]
- Ouchi Y, Yoshikawa E, Futatsubashi M, Okada H, Torizuka T, Sakamoto M. Effect of simple motor performance on regional dopamine release in the striatum in Parkinson disease patients and healthy subjects: a positron emission tomography study. J.Cereb.Blood Flow Metab. 2002;22:746–752. [PubMed]
- Owen AM. Cognitive dysfunction in Parkinson’s disease: the role of frontostriatal circuitry. Neuroscientist. 2004;10:525–537. [PubMed]
- Owen AM, Doyon J, Petrides M, Evans AC. Planning and spatial working memory: a positron emission tomography study in humans. Eur.J.Neurosci. 1996;8:353–364. [PubMed]
- Pappata S, Dehaene S, Poline JB, Gregoire MC, Jobert A, Delforge J, Frouin V, Bottlaender M, Dolle F, Di GL, Syrota A. In vivo detection of striatal dopamine release during reward: a PET study with [(11)C]raclopride and a single dynamic scan approach. Neuroimage. 2002;16:1015–1027. [PubMed]
- Patel VD, Lee DE, Alexoff DL, Dewey SL, Schiffer WK. Imaging dopamine release with positron emission tomography (PET) and 11C-raclopride in freely moving animals. Neuroimage. 2008;41:1051–1066. [PubMed]
- Perruchot F, Reilhac A, Grova C, Evans AC, Dagher A. Motion correction of multi-frame PET data. IEEE Trans Nucl Sci Conference Record. 2004;5:3186–3190.
- Peters JL, Michael AC. Changes in the kinetics of dopamine release and uptake have differential effects on the spatial distribution of extracellular dopamine concentration in rat striatum. J.Neurochem. 2000;74:1563–1573. [PubMed]
- Pezze MA, Feldon J. Mesolimbic dopaminergic pathways in fear conditioning. Prog.Neurobiol. 2004;74:301–320. [PubMed]
- Phillips PE, Stuber GD, Heien ML, Wightman RM, Carelli RM. Subsecond dopamine release promotes cocaine seeking. Nature. 2003;422:614–618. [PubMed]
- Piccini P, Pavese N, Brooks DJ. Endogenous dopamine release after pharmacological challenges in Parkinson’s disease. Ann.Neurol. 2003;53:647–653. [PubMed]
- Pickel VM, Beckley SC, Joh TH, Reis DJ. Ultrastructural immunocytochemical localization of tyrosine hydroxylase in the neostriatum. Brain Res. 1981;225:373–385. [PubMed]
- Porrino LJ, Lyons D, Smith HR, Daunais JB, Nader MA. Cocaine self-administration produces a progressive involvement of limbic, association, and sensorimotor striatal domains. J.Neurosci. 2004;24:3554–3562. [PubMed]
- Pretorius L, Kitamura Y, Mehta MA, Montgomery AJ, Asselin MC. Can changes in extrastriatal binding to D2/3 receptors by detected using PET/[11C]raclopride? Neuroimage. 2004;22:T89–T90.
- Pruessner JC, Champagne F, Meaney MJ, Dagher A. Dopamine release in response to a psychological stress in humans and its relationship to early life maternal care: a positron emission tomography study using [11C]raclopride. J.Neurosci. 2004;24:2825–2831. [PubMed]
- Pycock CJ, Kerwin RW, Carter CJ. Effect of lesion of cortical dopamine terminals on subcortical dopamine receptors in rats. Nature. 1980;286:74–76. [PubMed]
- Riccardi P, Li R, Ansari MS, Zald D, Park S, Dawant B, Anderson S, Doop M, Woodward N, Schoenberg E, Schmidt D, Baldwin R, Kessler R. Amphetamine-induced displacement of [18F] fallypride in striatum and extrastriatal regions in humans. Neuropsychopharmacology. 2006a;31:1016–1026. [PubMed]
- Riccardi P, Zald D, Li R, Park S, Ansari MS, Dawant B, Anderson S, Woodward N, Schmidt D, Baldwin R, Kessler R. Sex differences in amphetamine-induced displacement of [(18)F]fallypride in striatal and extrastriatal regions: a PET study. Am.J.Psychiatry. 2006b;163:1639–1641. [PubMed]
- Rice ME, Cragg SJ. Dopamine spillover after quantal release: Rethinking dopamine transmission in the nigrostriatal pathway. Brain Res.Rev. 2008 [PMC free article] [PubMed]
- Richfield EK, Penney JB, Young AB. Anatomical and affinity state comparisons between dopamine D1 and D2 receptors in the rat central nervous system. Neuroscience. 1989;30:767–777. [PubMed]
- Roberts AC, De Salvia MA, Wilkinson LS, Collins P, Muir JL, Everitt BJ, Robbins TW. 6-Hydroxydopamine lesions of the prefrontal cortex in monkeys enhance performance on an analog of the Wisconsin Card Sort Test: possible interactions with subcortical dopamine. J.Neurosci. 1994;14:2531–2544. [PubMed]
- Robinson DL, Heien ML, Wightman RM. Frequency of dopamine concentration transients increases in dorsal and ventral striatum of male rats during introduction of conspecifics. J.Neurosci. 2002;22:10477–10486. [PubMed]
- Robinson DL, Phillips PE, Budygin EA, Trafton BJ, Garris PA, Wightman RM. Sub-second changes in accumbal dopamine during sexual behavior in male rats. Neuroreport. 2001;12:2549–2552. [PubMed]
- Roesch-Ely D, Scheffel H, Weiland S, Schwaninger M, Hundemer HP, Kolter T, Weisbrod M. Differential dopaminergic modulation of executive control in healthy subjects. Psychopharmacology (Berl) 2005;178:420–430. [PubMed]
- Rogers RD, Andrews TC, Grasby PM, Brooks DJ, Robbins TW. Contrasting cortical and subcortical activations produced by attentional-set shifting and reversal learning in humans. J.Cogn Neurosci. 2000;12:142–162. [PubMed]
- Rosa NP, Lou H, Cumming P, Pryds O, Gjedde A. Methylphenidate-evoked potentiation of extracellular dopamine in the brain of adolescents with premature birth: correlation with attentional deficit. Ann.N.Y.Acad.Sci. 2002;965:434–439. [PubMed]
- Rosenkranz JA, Grace AA. Dopamine-mediated modulation of odour-evoked amygdala potentials during pavlovian conditioning. Nature. 2002;417:282–287. [PubMed]
- Ross SB, Jackson DM. Kinetic properties of the accumulation of 3H-raclopride in the mouse brain in vivo. Naunyn Schmiedebergs Arch.Pharmacol. 1989a;340:6–12. [PubMed]
- Ross SB, Jackson DM. Kinetic properties of the in vivo accumulation of 3H-(−)-N-n-propylnorapomorphine in mouse brain. Naunyn Schmiedebergs Arch.Pharmacol. 1989b;340:13–20. [PubMed]
- Ruttimann UE, Andreason PJ, Rio D. Head motion during positron emission tomography: is it significant? Psychiatry Res. 1995;61:43–51. [PubMed]
- Salamone JD, Cousins MS, McCullough LD, Carriero DL, Berkowitz RJ. Nucleus-accumbens dopamine release increases during instrumental lever pressing for food but not free food consumption. Pharmacol. Biochem. Behav. 1994;49:25–31. [PubMed]
- Salamone JD. Functions of mesolimbic dopamine: changing concepts and shifting paradigms. Psychopharmacology (Berl) 2007;191:389. [PubMed]
- Sawaguchi T, Goldman-Rakic PS. D1 dopamine receptors in prefrontal cortex: involvement in working memory. Science. 1991;251:947–950. [PubMed]
- Sawamoto N, Piccini P, Hotton G, Pavese N, Thielemans K, Brooks DJ. Cognitive deficits and striato-frontal dopamine release in Parkinson’s disease. Brain. 2008;131:1294–1302. [PubMed]
- Schiffer WK, Volkow ND, Fowler JS, Alexoff DL, Logan J, Dewey SL. Therapeutic doses of amphetamine or methylphenidate differentially increase synaptic and extracellular dopamine. Synapse. 2006;59:243–251. [PubMed]
- Schommartz B, Larisch R, Vosberg H, Muller-Gartner HM. Striatal dopamine release in reading and writing measured with [123I]iodobenzamide and single photon emission computed tomography in right handed human subjects. Neurosci.Lett. 2000;292:37–40. [PubMed]
- Schott BH, Minuzzi L, Krebs RM, Elmenhorst D, Lang M, Winz OH, Seidenbecher CI, Coenen HH, Heinze HJ, Zilles K, Duzel E, Bauer A. Mesolimbic functional magnetic resonance imaging activations during reward anticipation correlate with reward-related ventral striatal dopamine release. J.Neurosci. 2008;28:14311–14319. [PubMed]
- Schultz W. Dopamine neurons and their role in reward mechanisms. Curr.Opin.Neurobiol. 1997;7:191–197. [PubMed]
- Schultz W. Predictive reward signal of dopamine neurons. J.Neurophysiol. 1998;80:1–27. [PubMed]
- Schultz W, Romo R. Neuronal activity in the monkey striatum during the initiation of movements. Exp.Brain Res. 1988;71:431–436. [PubMed]
- Scott DJ, Heitzeg MM, Koeppe RA, Stohler CS, Zubieta JK. Variations in the human pain stress experience mediated by ventral and dorsal basal ganglia dopamine activity. J.Neurosci. 2006;26:10789–10795. [PubMed]
- Scott DJ, Stohler CS, Egnatuk CM, Wang H, Koeppe RA, Zubieta JK. Individual differences in reward responding explain placebo-induced expectations and effects. Neuron. 2007a;55:325–336. [PubMed]
- Scott DJ, Stohler CS, Egnatuk CM, Wang H, Koeppe RA, Zubieta JK. Placebo and nocebo effects are defined by opposite opioid and dopaminergic responses. Arch.Gen.Psychiatry. 2008;65:220–231. [PubMed]
- Scott DJ, Stohler CS, Koeppe RA, Zubieta JK. Time-course of change in [11C]carfentanil and [11C]raclopride binding potential after a nonpharmacological challenge. Synapse. 2007b;61:707–714. [PubMed]
- Seeman P, Guan HC, Niznik HB. Endogenous dopamine lowers the dopamine D2 receptor density as measured by [3H]raclopride: implications for positron emission tomography of the human brain. Synapse. 1989;3:96–97. [PubMed]
- Seeman P, Tallerico T, Ko F. Dopamine displaces [3H]domperidone from high-affinity sites of the dopamine D2 receptor, but not [3H]raclopride or [3H]spiperone in isotonic medium: Implications for human positron emission tomography. Synapse. 2003;49:209–215. [PubMed]
- Selemon LD, Goldman-Rakic PS. Longitudinal topography and interdigitation of corticostriatal projections in the rhesus monkey. J.Neurosci. 1985;5:776–794. [PubMed]
- Sesack SR, Aoki C, Pickel VM. Ultrastructural localization of D2 receptor-like immunoreactivity in midbrain dopamine neurons and their striatal targets. J.Neurosci. 1994;14:88–106. [PubMed]
- Shi B, Narayanan TK, Christian BT, Chattopadhyay S, Mukherjee J. Synthesis and biological evaluation of the binding of dopamine D2/D3 receptor agonist, (R,S)-5-hydroxy-2-(N-propyl-N-(5′-(18)F-fluoropentyl)aminotetralin ((18)F-5-OH-FPPAT) in rodents and nonhuman primates. Nucl.Med.Biol. 2004;31:303–311. [PubMed]
- Sibley DR, De LA, Creese I. Anterior pituitary dopamine receptors. Demonstration of interconvertible high and low affinity states of the D-2 dopamine receptor. J.Biol.Chem. 1982;257:6351–6361. [PubMed]
- Singer HS, Szymanski S, Giuliano J, Yokoi F, Dogan AS, Brasic JR, Zhou Y, Grace AA, Wong DF. Elevated intrasynaptic dopamine release in Tourette’s syndrome measured by PET. Am.J.Psychiatry. 2002;159:1329–1336. [PubMed]
- Slifstein M, Laruelle M. Effects of statistical noise on graphic analysis of PET neuroreceptor studies. J.Nucl.Med. 2000;41:2083–2088. [PubMed]
- Slifstein M, Laruelle M. Models and methods for derivation of in vivo neuroreceptor parameters with PET and SPECT reversible radiotracers. Nucl.Med.Biol. 2001;28:595–608. [PubMed]
- Slifstein M, Narendran R, Hwang DR, Sudo Y, Talbot PS, Huang Y, Laruelle M. Effect of amphetamine on [(18)F]fallypride in vivo binding to D(2) receptors in striatal and extrastriatal regions of the primate brain: Single bolus and bolus plus constant infusion studies. Synapse. 2004;54:46–63. [PubMed]
- Small DM, Jones-Gotman M, Dagher A. Feeding-induced dopamine release in dorsal striatum correlates with meal pleasantness ratings in healthy human volunteers. Neuroimage. 2003;19:1709–1715. [PubMed]
- Sokoloff P, Andrieux M, Besancon R, Pilon C, Martres MP, Giros B, Schwartz JC. Pharmacology of human dopamine D3 receptor expressed in a mammalian cell line: comparison with D2 receptor. Eur.J.Pharmacol. 1992;225:331–337. [PubMed]
- Sokoloff P, Giros B, Martres MP, Bouthenet ML, Schwartz JC. Molecular cloning and characterization of a novel dopamine receptor (D3) as a target for neuroleptics. Nature. 1990;347:146–151. [PubMed]
- Sokolowski JD, Conlan AN, Salamone JD. A microdialysis study of nucleus accumbens core and shell dopamine during operant responding in the rat. Neuroscience. 1998;86:1001–1009. [PubMed]
- Soliman A, O’Driscoll GA, Pruessner J, Holahan AL, Boileau I, Gagnon D, Dagher A. Stress-Induced Dopamine Release in Humans at Risk of Psychosis: a [(11)C]Raclopride PET Study. Neuropsychopharmacology. 2008;33:2033–2041. [PubMed]
- Sorg BA, Kalivas PW. Effects of cocaine and footshock stress on extracellular dopamine levels in the ventral striatum. Brain Res. 1991;559:29–36. [PubMed]
- Steinfels GF, Heym J, Strecker RE, Jacobs BL. Behavioral correlates of dopaminergic unit activity in freely moving cats. Brain Res. 1983;258:217–228. [PubMed]
- Steeves TDL, Miyasaki J, Zurowski M, Lang AE, Pelleccia G, Rusjan P, Houle S, Strafella AP. Increased striatal dopamine release in Parkinsonian patients with pathological gambling: a [11C]raclopride PET study. Brain. 2009 doi:10.1093/brain/awp054. [PMC free article] [PubMed]
- Strafella AP, Ko JH, Grant J, Fraraccio M, Monchi O. Corticostriatal functional interactions in Parkinson’s disease: a rTMS/[11C]raclopride PET study. Eur.J.Neurosci. 2005;22:2946–2952. [PMC free article] [PubMed]
- Strafella AP, Ko JH, Monchi O. Therapeutic application of transcranial magnetic stimulation in Parkinson’s disease: the contribution of expectation. Neuroimage. 2006;31:1666–1672. [PMC free article] [PubMed]
- Strafella AP, Paus T, Barrett J, Dagher A. Repetitive transcranial magnetic stimulation of the human prefrontal cortex induces dopamine release in the caudate nucleus. J.Neurosci. 2001;21:RC157. [PubMed]
- Strafella AP, Paus T, Fraraccio M, Dagher A. Striatal dopamine release induced by repetitive transcranial magnetic stimulation of the human motor cortex. Brain. 2003;126:2609–2615. [PubMed]
- Studholme C, Hill DL, Hawkes DJ. Automated 3-D registration of MR and CT images of the head. Med.Image Anal. 1996;1:163–175. [PubMed]
- Sun W, Ginovart N, Ko F, Seeman P, Kapur S. In vivo evidence for dopamine-mediated internalization of D2-receptors after amphetamine: differential findings with [3H]raclopride versus [3H]spiperone. Mol.Pharmacol. 2003;63:456–462. [PubMed]
- Taber MT, Fibiger HC. Electrical stimulation of the medial prefrontal cortex increases dopamine release in the striatum. Neuropsychopharmacology. 1993;9:271–275. [PubMed]
- Taber MT, Fibiger HC. Electrical stimulation of the prefrontal cortex increases dopamine release in the nucleus accumbens of the rat: modulation by metabotropic glutamate receptors. J.Neurosci. 1995;15:3896–3904. [PubMed]
- Thompson JL, Pogue-Geile MF, Grace AA. Developmental pathology, dopamine, and stress: a model for the age of onset of schizophrenia symptoms. Schizophr.Bull. 2004;30:875–900. [PubMed]
- Tsukada H, Nishiyama S, Kakiuchi T, Ohba H, Sato K, Harada N. Is synaptic dopamine concentration the exclusive factor which alters the in vivo binding of [11C]raclopride?: PET studies combined with microdialysis in conscious monkeys. Brain Res. 1999;841:160–169. [PubMed]
- Turkheimer FE, Brett M, Visvikis D, Cunningham VJ. Multiresolution analysis of emission tomography images in the wavelet domain. J.Cereb.Blood Flow Metab. 1999;19:1189–1208. [PubMed]
- Umegaki H, Munoz J, Meyer RC, Spangler EL, Yoshimura J, Ikari H, Iguchi A, Ingram DK. Involvement of dopamine D(2) receptors in complex maze learning and acetylcholine release in ventral hippocampus of rats. Neuroscience. 2001;103:27–33. [PubMed]
- Venton BJ, Zhang H, Garris PA, Phillips PE, Sulzer D, Wightman RM. Real-time decoding of dopamine concentration changes in the caudate-putamen during tonic and phasic firing. J.Neurochem. 2003;87:1284–1295. [PubMed]
- Volkow ND, Wang GJ, Fowler JS, Logan J, Franceschi D, Maynard L, Ding YS, Gatley SJ, Gifford A, Zhu W, Swanson JM. Relationship between blockade of dopamine transporters by oral methylphenidate and the increases in extracellular dopamine: therapeutic implications. Synapse. 2002a;43:181–187. [PubMed]
- Volkow ND, Wang GJ, Fowler JS, Logan J, Gatley SJ, Hitzemann R, Chen AD, Dewey SL, Pappas N. Decreased striatal dopaminergic responsiveness in detoxified cocaine-dependent subjects. Nature. 1997;386:830–833. [PubMed]
- Volkow ND, Wang GJ, Fowler JS, Logan J, Jayne M, Franceschi D, Wong C, Gatley SJ, Gifford AN, Ding YS, Pappas N. “Nonhedonic” food motivation in humans involves dopamine in the dorsal striatum and methylphenidate amplifies this effect. Synapse. 2002b;44:175–180. [PubMed]
- Volkow ND, Wang GJ, Fowler JS, Logan J, Schlyer D, Hitzemann R, Lieberman J, Angrist B, Pappas N, MacGregor R. Imaging endogenous dopamine competition with [11C]raclopride in the human brain. Synapse. 1994;16:255–262. [PubMed]
- Volkow ND, Wang GJ, Fowler JS, Telang F, Maynard L, Logan J, Gatley SJ, Pappas N, Wong C, Vaska P, Zhu W, Swanson JM. Evidence that methylphenidate enhances the saliency of a mathematical task by increasing dopamine in the human brain. Am.J.Psychiatry. 2004;161:1173–1180. [PubMed]
- Volkow ND, Wang GJ, Newcorn J, Telang F, Solanto MV, Fowler JS, Logan J, Ma Y, Schulz K, Pradhan K, Wong C, Swanson JM. Depressed dopamine activity in caudate and preliminary evidence of limbic involvement in adults with attention-deficit/hyperactivity disorder. Arch.Gen.Psychiatry. 2007;64:932–940. [PubMed]
- Volkow ND, Wang GJ, Telang F, Fowler JS, Logan J, Childress AR, Jayne M, Ma Y, Wong C. Cocaine cues and dopamine in dorsal striatum: mechanism of craving in cocaine addiction. J.Neurosci. 2006;26:6583–6588. [PubMed]
- Vollenweider FX, Vontobel P, Hell D, Leenders KL. 5-HT modulation of dopamine release in basal ganglia in psilocybin-induced psychosis in man–a PET study with [11C]raclopride. Neuropsychopharmacology. 1999;20:424–433. [PubMed]
- Walker EF, Diforio D. Schizophrenia: a neural diathesis-stress model. Psychol.Rev. 1997;104:667–685. [PubMed]
- Wang GJ, Volkow ND, Fowler JS, Franceschi D, Logan J, Pappas NR, Wong CT, Netusil N. PET studies of the effects of aerobic exercise on human striatal dopamine release. J.Nucl.Med. 2000;41:1352–1356. [PubMed]
- Watabe H, Endres CJ, Breier A, Schmall B, Eckelman WC, Carson RE. Measurement of dopamine release with continuous infusion of [11C]raclopride: optimization and signal-to-noise considerations. J.Nucl.Med. 2000;41:522–530. [PubMed]
- Wightman RM. Detection technologies. Probing cellular chemistry in biological systems with microelectrodes. Science. 2006;311:1570–1574. [PubMed]
- Willeit M, Ginovart N, Graff A, Rusjan P, Vitcu I, Houle S, Seeman P, Wilson AA, Kapur S. First human evidence of d-amphetamine induced displacement of a D2/3 agonist radioligand: A [11C]-(+)-PHNO positron emission tomography study. Neuropsychopharmacology. 2008;33:279–289. [PubMed]
- Willeit M, Ginovart N, Kapur S, Houle S, Hussey D, Seeman P, Wilson AA. High-affinity states of human brain dopamine D2/3 receptors imaged by the agonist [11C]-(+)-PHNO. Biol.Psychiatry. 2006;59:389–394. [PubMed]
- Wilson AA, McCormick P, Kapur S, Willeit M, Garcia A, Hussey D, Houle S, Seeman P, Ginovart N. Radiosynthesis and evaluation of [11C]-(+)-4-propyl-3,4,4a,5,6,10b-hexahydro-2H-naphtho[1,2-b][1,4]oxazin-9-ol as a potential radiotracer for in vivo imaging of the dopamine D2 high-affinity state with positron emission tomography. J.Med.Chem. 2005;48:4153–4160. [PubMed]
- Woods RP, Cherry SR, Mazziotta JC. Rapid automated algorithm for aligning and reslicing PET images. J.Comput.Assist.Tomogr. 1992;16:620–633. [PubMed]
- Woods RP, Mazziotta JC, Cherry SR. MRI-PET registration with automated algorithm. J.Comput.Assist.Tomogr. 1993;17:536–546. [PubMed]
- Yoder KK, Kareken DA, Morris ED. What were they thinking? Cognitive states may influence [11C]raclopride binding potential in the striatum. Neurosci.Lett. 2008;430:38–42. [PMC free article] [PubMed]
- Yoder KK, Morris ED, Constantinescu CC, Cheng TE, Normandin MD, O’Connor SJ, Kareken DA. When what you see isn’t what you get: alcohol cues, alcohol administration, prediction error, and human striatal dopamine. Alcohol Clin.Exp.Res. 2009;33:139–149. [PMC free article] [PubMed]
- Yoder KK, Wang C, Morris ED. Change in binding potential as a quantitative index of neurotransmitter release is highly sensitive to relative timing and kinetics of the tracer and the endogenous ligand. J.Nucl.Med. 2004;45:903–911. [PubMed]
- Yung KK, Bolam JP, Smith AD, Hersch SM, Ciliax BJ, Levey AI. Immunocytochemical localization of D1 and D2 dopamine receptors in the basal ganglia of the rat: light and electron microscopy. Neuroscience. 1995;65:709–730. [PubMed]
- Zald DH, Boileau I, El-Dearedy W, Gunn R, McGlone F, Dichter GS, Dagher A. Dopamine transmission in the human striatum during monetary reward tasks. J.Neurosci. 2004;24:4105–4112. [PubMed]
- Zijlstra S, van der WH, Wiegman T, Visser GM, Korf J, Vaalburg W. Synthesis and in vivo distribution in the rat of a dopamine agonist: N-([11C]methyl)norapomorphine. Nucl.Med.Biol. 1993;20:7–12. [PubMed]
- Zoli M, Torri C, Ferrari R, Jansson A, Zini I, Fuxe K, Agnati LF. The emergence of the volume transmission concept. Brain Res.Brain Res.Rev. 1998;26:136–147. [PubMed]