Boemo ba ho feto-fetoha ha motlakase o fokolang ho bacha ba nang le ho lemalla lipapali tsa Inthanete (2013)

PLoS One. 2013 Nov 4;8(11):e78708.

doi: 10.1371 / journal.pone.0078708. eCollection 2013.

Yuan K1, Jin C, Cheng P, Yang X, Dong T, Bi Y, Xing L, Deneen KM, Yu D, Liu J, Liang J, Cheng T, Qin W, Tian J.

inahaneloang

Boholo ba lithuto tsa neuroimaging tsa pejana li bonts'itse mesebetsi e meng e sa sebetseng hantle e amanang le mosebetsi ho bacha ba nang le temallo ea papali ea inthanete (OGA). Leha ho le joalo, lithuto tse fokolang tsa ts'ebetso ea matla a matla a matla a matla a matla a furu (fMRI) li shebile botebong ba tikoloho ea ho feto-fetoha ha maemo ka tšohanyetso ho boemo ba moea ba oksijene (BOLD) nakong ea phomolo mme lithuto tse fokolang li ile tsa hlahloba kamano pakeng tsa thepa ea phomolo e sa tloaelehang ea mmuso le taolo ea kelello e senyehileng. bokhoni. Thutong ea hona joale, re sebelisitse mokhoa oa ho holisa maemo a tlase a phallo ea (frequency fluctuation (ALFF)) ho hlahloba likarolo tsa ts'ebetso ea boits'oaro ba bongoana ho bacha le OGA le taolo e phetseng hantle nakong ea ho phomola. Bacha ba 18 ba nang le OGA le 18 ea lilemo, thuto- le baithaopi ba phetseng hantle ba bong bo fapaneng ba nkile karolo thutong ena. Ha ho bapisoa le taolo e phetseng hantle, bacha ba nang le OGA ba bonts'itse keketseho e kholo ea boleng ba ALFF ka lehlakoreng le letšehali medial orbitofrontal cortex (OFC), precuneus ka ho le letšehali, sebaka sa makoloi se tlatsetsang (SMA), sebaka se nepahetseng sa parahippocampal gyrus (PHG) le tokelo ea lipakeng tse pakeng tsa cingulate. cortex (MCC). Litla-morao tsa libaka tsena le tsona li fumanoe lithutong tse fetileng tsa bokhoba ba tahi. Habohlokoa le ho feta, re fumane hore boleng ba ALFF ba medial ea kushoto ea OFC le li-precuneus tse tlohetsoeng bo ne bo amana hantle le nako ea OGA lilemong tsa bocha le OGA. Melao ea ALFF ea medial ea ka letsohong le letšehali e ne e boetse e amana le ts'ebetso ea tlhahlobo ea lentsoe-Stroop ea mebala. Liphetho tsa rona li khothalelitse hore ts'ebetso e sa tloaelehang ea tlhaho ea li-neuronal ea libaka tsena e ka ameha ho pathophysiology e ka tlase ea OGA.

Selelekela

Ho lemalla papali ea papali ea chelete inthaneteng (OGA) ho hlalosoa e le tšebeliso e mpe ea marang-rang le ho se khonehe ha motho ho laola tšebeliso ea hae ea inthanete, e khethiloeng e le mofuta o le mong oa bothata ba taolo ea tšusumetso ho batho ba bang. [1]-[3]. Lintlha tse tsoang Mokhatlong oa Inthanete oa Bacha tsa China (phatlalatso ka Pherekhong 2, 2010) li bonts'itse hore tekanyo ea liketsahalo tsa OGA har'a bacha ba litoropong tsa China li ka bang 14%. E le e 'ngoe ea mathata a tloaelehileng a bophelo bo botle ba kelello har'a bacha ba China, OGA e amahantsoe le ho senyeha ha bophelo ba kelello ba motho ka mong, ho hloleha ha thuto le ho fokotsa ts'ebetso ea mosebetsi. [4], eo hajoale e ntseng e e-ba bothata bo tebileng haholoanyane ba bophelo bo botle ho bacha lefatšeng ka bophara [5], [6]. Le ha OGA e ntse e sa ngolisoa ka molao kahare ho sebopeho sa psychopathological, liphuputso tse ngata tsa bacha ba OGA li senoletse tlhekefetso ea sebopeho le tšebetso ho orbitofrontal cortex (OFC), sebaka sa tlatsetso sa motor (SMA), cingates cortex, parahippocampal gyrus (PHG), dorsolateral preortal cortex. (DLPFC), precuneus, gyrus ea nakoana, insula le cerebellum [1], [2] Ho sa sebetse hantle literekeng tsena ho amana le tlhekefetso ea lithethefatsi ke lithuto tse ngata tsa bokhoba ba tahi [7], hape e ka amahanngoa le ho se sebetse taolong ea kelello, taolo e phahameng, ho lakatsa, maikutlo a moputso, boits'oaro bo tataisoang ke sepheo le mohopolo o sebetsang ho bacha ba OGA [1].

Le ha OGA e baka moroalo oa motho ka mong le oa sechaba, hajoale ha ho na kalafo e tšoanang bakeng sa OGA [8]. Litliliniki Chaena li sebelisitse linako tsa nako tsa khale, taeo e thata le kalafo ea tšabo ea motlakase, le ho fumana tumello bakeng sa mekhoa ena ea kalafo. [4]. Ho theha mekhoa e sebetsang ea ho kenella le kalafo ea OGA ho tla hloka ho theha kutloisiso e hlakileng ea mekhoa e tlatselletsang maemo ana. Ho fihla joale, lithuto tse ngata tsa OGA li shebile ho bona khaello ea sebopeho le litšitiso tse amanang le mosebetsi ho batho ba nang le OGA, tse neng li thusa ho lekola mekhoa ea methapo e ka tlas'a OGA. Leha ho le joalo, ke liphuputso tse fokolang tse ileng tsa lekola phetoho ea letšoao la oksijene ea mali (BOLD) ea ts'ebetso ea tlhaho ea OGA nakong ea phomolo. Joalo ka mokhoa o sa senyeheng, ts'ebetso ea ho phomola e sebetsang ea matla a matla a 'mele (fMRI) e sebelisitsoe ho etsa lipatlisiso mabapi le ho feto-fetoha ha maikutlo a maqhubu a tlaase (LFF) ho matšoao a BOLD, a thibelang likhohlano tse amanang le ts'ebetso mme a ka bonts'a ts'ebetso ea tlhaho e sa sebetseng bokong [9], [10]. Ntle le moo, mokhoa oa phomolo oa fMRI oa 'muso o sebelisitsoe haholo ho senola moetso o sebetsang oa bokong ba bokong [10]. Ts'ebetso e sa tloaelehang ea neuronal nakong ea phomolo e ka sebetsa e le sesupo se lekaneng ho bonts'a tsoelo-pele le ts'ebetso e mpe ea ts'ebetso ea maloetse a mangata a boko.

Haufinyane, Liu et al. o sebelisitse mokhoa oa homogeneityity (ReHo) oa tikoloho mme a fumana hore batho ba nang le OGA ba bonts'itse keketseho e kholo ea boleng ba ReHo ka ho le letona la cingrate gyrus, bilaraal parahippocampus, leqele le letsohong le letšehali, 'me la tloha ka lehlakoreng le phahameng la koranta. [11]. Mokhoa oa ReHo o bonts'a homogeneity ea nakoana ea LFF ea tikoloho ho sa tsotellehe botebo, mme e thehiloe khopolong ea hore ma-voxels a haufi a marang-rang a lokela ho ba le mekhoa e tšoanang ea nakoana [12]. Le ha ho nahanoa ka hore bokaholimo ba LFF (ALFF) bo amana le ts'ebetso ea methapo ea lehae, motheo oa liphetoho tsa ALFF ho ​​OGA o ntse o sa hlaka [13]. Ho feta moo, Liu et al. [11] ha ea ka ea batlisisa kamano e teng lipakeng tsa thepa ea phomolo e sa tloaelehang le nako ea OGA. Ho etsa lipatlisiso tse ling hape tsa tlhekefetso ea mmuso ho bacha ba OGA, mokhoa oa ALFF o ile oa sebelisoa thutong e teng hona joale le tlhaiso-leseling ka nako ea OGA e ile ea bokelloa. Ntle le moo, bafuputsi ba hlokometse bokhoni ba taolo ba kelello bo bobe ho bacha ba nang le OGA ba sebelisa mosebetsi oa mofuta oa Stroop [14], [15]. Ka hona, tekolo ea boithuto lithutong tsa hona joale e ne e le ts'ebetso ho "color-word Stroop task". Khokahano ea liphumano tse entsoeng ka neuroimaging mabapi le mekhoa e hlalositsoeng hantle ea boitšoaro e tsebahalang hore e ameha ho OGA e tla ba leseli le leng la bohlokoa ba liphetho tsena ho OGA.

Lisebelisoa le mekhoa

Ts'ebetso tsohle tsa lipatlisiso li amohetsoe ke Subcommittee ea West China Hospital ka lithuto tsa Batho mme e entsoe ho latela Phatlalatso ea Helsinki. Barupeluoa bohle le bahlokomeli thutong ea rona ba fane ka tumello e ngotsoeng.

Lihlooho

Ho latela Lenaneo la Potso la Bacha le Ncha le ntlafalitsoeng (YDQ) bakeng sa litekanyetso tsa OGA ke Beard le Wolf [8], [16], baithuti ba mashome a mabeli ba nang le OGA ba ne ba hloekisitsoe ho tsoa ho liithuti tsa 165 freshman le sophomore. Bacha ba leshome le metso e robeli ba nang le OGA (banna ba 12, ba bolela lilemo = 19.4 ± lilemo tsa 3.1, thuto ea 13.4 ± lilemo tsa 2.5) ba nkile karolo thutong ea rona ka ho sa kenye libapali tse peli tse leqeleng. Ho etsa lipatlisiso tsa hore na ho bile le liphetoho tsa methapo mo sebopeho sa boko, nako ea lefu lena e hakantsoe ka tlhahlobo ea tlhahlobo ea mafu. Re kopile lithuto ho hopola mekhoa ea bona ea bophelo ha ba ne ba lemaletse papali ea bona ea mantlha ea marang-rang, ke hore, World of Warcraft (WOW). Ho netefatsa hore ba na le bothata ba OGA, re ile ra ba khutlisa ka mekhoa ea YDQ e fetotsoeng ke Beard le Wolf. Ho tšepahala ha litlaleho tsa boits'oaro ho tsoa lithutong tsa OGA ho boetse ho tiisitsoe ke ho bua le batsoali ba bona ka mohala hammoho le bao u lulang le bona le bao ba kenang sekolo le bona.

Lilemo tse leshome le metso e robeli- le taolo e lumellanang ea bong bo fapaneng (basali ba 12 le basali ba 6, li bolela lilemo = 19.5 ± lilemo tsa 2.8, thuto ea 13.3 ± lilemo tsa 2.0) ntle le nalane ea motho kapa ea lelapa ea mathata a kelello le eona e nkile karolo thutong ea rona. Ho latela liphuputso tse fetileng tsa OGA, re khethile li-control tse phetseng hantle tse sebelisang nako e ka tlase ho lihora tsa 2 ka letsatsi inthaneteng [4]. Litaolo tse phetseng hantle li ile tsa boela tsa lekoa ka mekhoa ea YDQ e fetotsoeng ke Beard le Wolf ho netefatsa hore ha ba utloe bohloko ke OGA. Bohle ba neng ba hapiloe ba neng ba hlahlobetsoe e ne e le matsoalloa a China a letsoho le letona mme ba ile ba hlahlojoa ke tlaleho ea boits'oaro le Edinburgh Handedness lipotso. Litekanyetso tsa ho kenyelletsa lihlopha tsena ka bobeli e ne e le 1) ho ba teng ha bothata ba methapo bo hlahlojoang ke Puisano e Etsoang ke Clinical for the Diagnostic and Statistical Manual of Mental Dis shida, Khatiso ea Bone (DSM-IV); 2) joala, nikotini kapa tšebeliso e mpe ea lithethefatsi ka ho hlahlobeloa lithethefatsi tsa moroto; 3) ho ima kapa ho ea matsatsing ho basali; le 4) bokuli bofe kapa bofe ba 'mele bo kang mokokotlo oa mokokotlo, lefu la sebete kapa lefu la sethoathoa joalo ka ha ho hlahlojoa ho latela tlhahlobo ea bongaka le litlaleho tsa bongaka. Sekala sa ho tšoenyeha sa Hamilton (HAMA) le tlhaiso ea khatello ea maikutlo ea Beck-II (BDI) li ile tsa sebelisoa ho lekola maemo a maikutlo a barupeluoa bohle nakong ea libeke tse peli tse fetileng. Ho fanoa ka leseli le qaqileng la tlhahlobo ea baahi Lethathamo 1.

Lethathamo 1 

Litaba tsa batho ba lilemong tsa bocha ba nang le temallo ea lipapali tsa marang-rang (OGA) le lihlopha tse laolang.

Pokello ea lintlha tsa boitšoaro

Ho latela phuputso e fetileng [17], moralo oa mosebetsi oa li-Stroop oa mebala o sebelisitsoe ka ho sebelisa software ea E-prime 2.0 (http://www.pstnet.com/eprime.cfm). Mosebetsi ona o sebelisitse moralo oa bolulo o nang le maemo a mararo, ke ho re, ho sebetsa hantle le ho phomola. Mantsoe a mararo, Bokhubelu, Boputsoa le botala li ile tsa bonts'oa ka mebala e meraro (e khubelu, e putsoa le e tala) joalo ka tšusumetso e ntle. Nakong ea phomolo, ho ne ho bontšoa sefapano bohareng ba skrineng, 'me baithuti ba ne ba lokela ho beha mahlo sefapanong ba sa arabe. Liketsahalo tsohle li ne li hlophisitsoe ka meketlo e 'meli e nang le lithunya tse fapaneng tsa bolulo. Morupeluoa e mong le e mong o ne a laetsoe hore a arabe 'mala o bonts'itsoeng ka potlako kamoo ho ka khonehang ka ho tobetsa konopo lebokoseng la karabo ea serial le ka letsoho le letona. Likhatiso tsa button ke index, bohareng le menoana ea mehele li tsamaisana le bofubelu, boputsoa le botala ka tatellano. Barupeluoa ba ile ba lekoa ka bonngoe ka kamoreng e khutsitseng ha ba le maemong a khutsitseng a kelello. Kamora ts'ebetso ea pele, data ea boitsoaro e ile ea bokelloa matsatsi a mabeli kapa a mararo pele ho hlahlojoa ha MRI.

Lits'ebetso tsa Tlhahlobo ea MRI

Boithuto bohle ba fMRI bo entsoe ho scan ninemanga ea 3-T GE (EXCITE, GE Signa, Milwaukee, WI, USA) ba sebelisa coil ea hlooho ea linonyana tse tloaelehileng e le koae ea li-coil ea li-phase-array tse fumanehang setsing sa lipatlisiso sa Huaxi MR, Chengdu, China . Li-pads tsa foam li ne li sebelisetsoa ho fokotsa ho sisinyeha ha hlooho le lerata la scanner. Kamora ho hlahlojoa hoa tikoloho ea lehae, litšoantšo tse nang le boima ba T1 li fumanoe ka tatellano e bolokiloeng ea gradient hopola (nako ea ho pheta-pheta (TR) = 1900 ms; echo time (TE) = 2.26 ms; flip angle (FA) = 9 °; tšimo ea pono ( FOV) = 256 × 256 mm2; data matrix = 256 × 256; mela = 176; boholo ba voxel = 1 × 1 × 1 mm3). Ebe litšoantšo tse sebetsang tsa boemo ba phomolo li ile tsa fumanoa li sebelisoa ka tatellano ea bo-echo-planar-imaging (TR = 2000ms; TE = 30ms; FA = 90 °; FOV = 240 × 240 mm2; data matrix = 64 × 64) e nang le likhechana tsa axial tsa 32 (bophara ba sengoe = 5 mm mme ha ho na sekhechana sa litefiso, li-volumes kakaretso = 180) ka motsotso o le mong oa metsotso e tšeletseng. Baithuto ba ne ba laetsoe ho koala mahlo, ho lula ba khutsitse le hore ba se ke ba nahana ka letho ka mokhoa o hlophisehileng nakong ea tlhahlobo. Qetellong ea ho fumana data, lithuto tsohle li netefalitse hore li lula li falimehile nakong eohle ea tlhahlobo.

Ho lokisa lintlha le ho bala lipalo tsa ALFF

Ts'ebetso eohle e sebetsang ea ts'ebetso ea litšoantšo e entsoe ka Statistical Parametric Mapping (SPM5, http://www.fil.ion.ucl.ac.uk/spm) software le Mothusi oa Ts'ebetso ea Ts'ebetso ea software ea resting-State fMRI (DPARSF) [18]. Bakeng sa morupeluoa e mong le e mong, lintlha tsa pele tsa makhetlo a leshome li ile tsa lahloa ho qoba liphetoho tsa nakoana tsa nakoana pele matla a khoheli a fihla maemong a tsitsitseng le ho lumella bafo hore ba tloaelane le tikoloho ea ho hlahlojoa ha fMRI. Lipalo tse setseng tsa 170 tsa boko li ile tsa lokisoa bakeng sa ho lekanya nako le ho hlophisoa bocha bakeng sa khalemelo ea motsamao oa hlooho. Ha ho lithuto tse nang le motsamao oa hlooho o fetang 1 mm oa ho tsamaea kapa ho potoloha ha 1 ° ka tsela efe kapa efe. Ebe litšoantšo tsohle tse fetotsoeng li ne li hlophisitsoe ka nepo ho Montreal Neurological Institute (MNI) template ea EPI, li khutlisetsoa ho 3 mm isotropic voxels ebe li hlakoloa ka botlalo (bophara ka bophara ba halofo e phahameng = 8 mm). Kamora moo, ka ho letsetsa mesebetsi ho resting-State fMRI Analyting Analysis Toolkit (REST, http://rest.restfmri.net), ho tloswa ha metara-tloaelo le ho hlanya ha band-pass (0.01-0.08 Hz) bakeng sa ho fokotsa litlamorao tsa lerotholi le tlase la lerata le lerata le phahameng la mmele. [18] li ne li etsoa ka tatellano ea nako.

Kamora ho ntlafatsoa, ​​lipalo tsa ALFF li ile tsa etsoa ho sebelisoa DPARSF ka ho bitsa mesebetsi ho REST joalo ka lithutong tse fetileng [19]. Taba ea pele, bakeng sa ho fumana sebono sa motlakase, lethathamo la linako le fetotsoeng le ile la fetoloa sebakeng sa marang-rang se sebelisoang ka lebelo le potlakileng la tse 'ne (FFT). Ebe motso oa lisekoere oa motlakase oa matla o ile oa fumanoa sebakeng se seng le se seng sa maqhubu a data ho hlahisa amplitude e le ts'ebetso ea maqhubu. Lits'ebetso tsena, tse lekantsoeng ho 0.01-0.08 Hz lenaneng le leng le le leng, li ne li sebelisoa e le litekanyetso tsa ALFF. Ka lebaka leo, motso ona oa sekwere o karolelitsoeng o ile oa sebelisoa e le boleng ba ALFF. ALFF ea voxel e 'ngoe le e' ngoe e ne e arotsoe ke boleng ba lefats'e ba ALFF kahare ho maski ea kelello eohle bakeng sa thuto e 'ngoe le e' ngoe, ho fella ka ALF e emeng ea voxel e 'ngoe le e' ngoe e neng e na le boleng ba hoo e ka bang 1.

Tlhahlobo ea statistical

Ho lekola liphapang lipakeng tsa sehlopha sa OGA le sehlopha sa taolo lilemong, bong, nako ea mafu le lilemo tsa thuto, mehlala e 'meli tLiteko li entsoe ka ho sebelisa SPSS 13.0 le a p> 0.05 e ne e nkuoa e se na thuso. Ho hlahloba hore na ke libaka life tse nang le litekanyetso tsa ALFF tse fapaneng le boleng ba 1, sampole e le 'ngoe t-etetep<0.05, phoso e bohlale ea lelapa (FWE) e lokisitsoeng) ho sebelisoa SPM5 e ile ea etsoa sehlopheng ka seng. Joale, sampole tse peli t-test e entsoe ho hlakisa liphapang tsa ALFF lipakeng tsa lihlopha tsena tse peli kamora ho laola lilemo le bong. Khalemelo bakeng sa papiso e ngata e ile ea etsoa ho sebelisoa lipapiso tsa Monte Carlo. Morero o hlophisitsoeng oa p<0.05 e nkiloe moeling o kopaneng oa p<0.005 bakeng sa voxel ka 'ngoe le boholo bo tlase ba sehlopha sa 351 mm3 (Lenaneo la AlphaSim ho software ea AFNI, http: // afni.nimh.nih.gov/). Bakeng sa likarolo tsa boko tseo ho tsona bakuli ba OGA ba bonts'itseng thepa ea ALFF e sa tloaelehang, litekanyetso tsa ALFF tsa sebaka ka seng li ntšitsoe, li lekantsoe le ho hlakoloa khahlano le matšoao a ts'oaetso a bontšitsoeng ke nako ea lefu le ts'ebetso ea mebala-bala ea Stroop.

Results

Liphetho tsa rona li bonts'itse hore tekanyo ea OGA e ne e batla e le 12.1% lipatlisisong tsa rona tse nyane tsa mohlala. Ho ea ka tlaleho ea bona ea ts'ebeliso ea marang-rang, lithuto tsa OGA li qetile lihora tsa 10.2 ± 2.6 ka letsatsi le matsatsi a 6.3 ± 0.5 ka beke ho libapali tsa inthaneteng. Bacha ba nang le OGA ba qetile lihora tse ngata ka letsatsi le matsatsi a mangata ka beke ho feta taolo (p<0.005) (Lethathamo 1).

Liphetho tsa tlhaiso-leseling

Lihlopha tsena ka bobeli li bonts'itse phello ea bohlokoa ea Stroop, moo nako ea karabelo e neng e le telele ka nako e sa sebetseng ho feta maemo a kopaneng (OGA: 677.3 ± 75.4 ms vs 581.2 ± 71.6 ms and management: 638.3 ± 65.9 ms vs 549.0 ± 50.6 ms; p<0.005). Sehlopha sa OGA se entse liphoso tse ngata ho feta sehlopha sa taolo nakong ea boemo bo sa tloaelehang (8.56 ± 4.77 vs 4.56 ± 2.93; p<0.05), leha phokotso ea karabelo e lekantsoe ke nako ea karabelo (RT) nakong ea maemo a sa sebetseng ntle le maemo a kopaneng e ne e sa fapana haholo lipakeng tsa lihlopha tsena tse peli (98.2 ± 40.37 ms vs 91.92 ± 45.87 ms; p > 0.05).

Liphetho tsa ho bapisa data

Limmapa tsa ALFF tsa sehlopha sa OGA le sehlopha sa taolo li hlahisoa Feie. 1, 'me lihlopha tsena ka bobeli li bontšitse boleng bo phahameng ba ALFF ho ​​posterior cingrate cortex (PCC) / precuneus, medial prefrontal cortex (MPFC), le biliveal inferior parietal lobe (IPL) nakong ea phomolo. Libaka tsena li kenyellelitsoe khokahanong ea "default mode network" lithutong tse fetileng [19]. Mehlala e 'meli t-liteko tsa taolo ea lilemo le bong le ho lokisoa bakeng sa papiso e mengata (ho sebelisa lipapiso tsa Monte Carlo tsa boholo ba sehlotšoana se hlahisang monyako o lokisitsoeng oa p ka litheko tsa ALFF ho ​​medial ea leqele ea OFC, precuneus ea leqele, SMA ea leqele, PHG e nepahetseng le MCC ea linaha tse peli ha e bapisoa le sehlopha sa taolo. Ha ho libaka tsa boko tse nang le litekanyetso tse fokotsehileng tsa ALFF tse fumanoeng. Ntle le moo, ho ile ha bonoa khokahano e ntle haholo lipakeng tsa nako ea OGA le litekanyetso tse behiloeng tsa ALFF ho ​​medial ea le letšehali OFC (r = 0.05, p  = 0.0027) 'me ka ho le letšehali precuneus (r = 0.5924, p  = 0.0096) (Feie. 2). Litekanyetso tsa ALFF tsa OFC e ka lehlakoreng le letšehali li fumanoe li lumellana le palo ea liphoso tsa karabelo nakong ea boemo bo sa nepahalang har'a bacha ba nang le OGA (r = 0.6690, p  = 0.0024) (Feie. 3). Hobane lithuto tsa OGA li ne li na le litekanyetso tse phahameng haholo tsa khatello ea maikutlo tse lekantsoeng ke BDI, re ile ra lekola botjha lintlha tse sebetsang tsa ho nahana, re sebelisa BDI joalo ka covariate. Lintlha tse hlahisitsoeng li ne li tšoana le ya data ea pele. Re boetse re lekile hore na lintlha tsa BDI li tsamaisana le boleng ba ALFF ba libaka tse sa sebetseng tsa bokong, nako ea OGA le ts'ebetso ea mebala ea Stroop ea mmala. Leha ho le joalo, ha ho liphetho tsa bohlokoa tse hlokometsoeng.

Setšoantšo sa 1 

Mohlala o le mong tLiphetho.
Setšoantšo sa 2 

Mehlala e 'meli tTlhahlobo-leseling.
Setšoantšo sa 3 

Tlhatlhobo ea likamano tsa boits'oaro

Puisano

Phuputsong ea hona joale, mokhoa oa ALFF o ne o sebelisitsoe ho etsa lipatlisiso tsa phapang ea maemo lipakeng tsa bakuli ba nang le OGA le taolo e tloaelehileng. ALFF ke mokhoa o bonolo ebile o kholisang oa ho lekola bophahamo ba bokhutšoanyane ba maqhubu a tlase lebitsong la BOLD, 'me lithuto tse fetileng li bontšitse bokhoni ba mokhoa ona ho fumana hantle hore na ke karolo efe ea boko e nang le ts'ebetso e sa tloaelehang. [13]. Sehlopheng ka seng, re ile ra supa libaka tse bonts'a boleng bo phahameng haholo ba ALFF ho ​​feta likarolo tse ling tsa boko nakong ea phomolo (Feie. 1). Libaka tsena li manehiloe ka botlalo libakeng tse kholo tsa netweke ea default mode (DMN) [20]. Mabapi le mehlala ena e 'meli tLiphetho tsa morao-rao, tse amanang le taolo e phetseng hantle, bacha ba nang le OGA ba bonts'itse ALFF e ngata ka ho le letona ea makhopho a OFC, leqele le letšehali, SMA, PHG e nepahetseng le MCC ea naha nakong ea phomolo.Feie. 2). Ho bohlokoa ho hlokomela hore lithuto tsa OGA li bile le litekanyetso tse phahameng tsa khatello ea maikutlo ho BDI, leha ho le joalo, tlhahlobo e kenyelletsang BDI ha e le covariate e senotse litholoana tse tšoanang. Ntle le moo, litekanyetso tsa ALFF tsa medial ea kushoto ea OFC le precuneus li ne li amana hantle le nako ea OGA (Feie. 2). Ntle le moo, ho netefatsa bokhoni ba taolo ea ho lemala ho sa bonahaleng ho bacha le OGA, tlhahlobo ea lentsoe-Stroop e sebelisang mebala e sebelisitsoe thutong ea rona. E lumellana le liphetho tse fetileng [14], [15], sehlopha sa OGA se entse liphoso tse ngata ho feta sehlopha sa taolo nakong ea boemo bo seng botle, e leng se bonts'ang hore bacha ba nang le OGA ba bonts'a bokhoni ba taolo ba kelello ba ho hloka taolo, joalo ka ha bo lekantsoe ke tlhahlobo ea lentsoe-Stroop. Ho khahlisang, litekanyetso tsa ALFF tsa OFC e tlohetsoeng li ne li boetse li amana le palo ea liphoso nakong ea boemo bo seng botle ho bacha ba nang le OGA (Feie. 3). Liphetho tsa rona li fana ka maikutlo a hore liphetoho tsa ALFF ho ​​OFC li ka sebetsa e le sehlahisoa sa lihlahisoa ho bonts'a bokhoni ba taolo ea kelello ba OGA.

Thutong ea hajoale, re fumane hore boleng ba ALFF bo ile ba eketseha ka morafo oa kushoto oa OFC sehlopheng sa OGA. Anatomically, OFC e na le khokahano e pharaletseng le libaka tsa striatum le limbic (joalo ka amygdala), tse shebahalang li ameha taolong ea kelello ea boits'oaro bo tataisoang ke sepheo ka tlhahlobo ea bohlokoa ba susumetso le khetho ea boitšoaro ho fumana takatso e hlokoang sephetho. Litšebelisano le mathata a mosebetsi oa OFC ho OGA li tlalehiloe lithutong tse fetileng [4], [11], [15]. Park et al. sebelisitse a 18F-fluorodeoxyglucose positron emission tomography (PET) ho etsa lipatlisiso tsa metabolism ea "glucose" ea tikoloho nakong ea phomolo ho batho ba bacha ba nang le OGA le taolo e tloaelehileng, mme e bonts'itse hore ts'ebetso ea metabolism ea OFC ho bacha le OGA e eketsehile ha e bapisoa le taolo e tloaelehileng [21]. Tlhahlobo ena e khothalelitse hore ts'ebetso e sa tloaelehang ea metabolic sebakeng sa OFC e ka amahanngoa le ho senyeha ha taolo ea tšusumetso le ts'ebetso ea moputso ho bacha ba OGA. Mabapi le lithuto tsa MRI tse amanang le mosebetsi, Ko et al. o khetholle likarolo tse ka tlase tsa bokhoba ba papali ea papali ea inthanete ka ho hlahloba likarolo tsa boko tse amanang le takatso ea papali ea cue, mme o fumane hore OFC e ka sebetsoa ka mokhoa o sa tloaelehang ho bokhoba ha e bapisoa le taolo. [22]. Ho ts'oana ha ho fumana hona le takatso e matla ea "cue" e bakiloeng ke ho tšepa lintho [23], e khothalelitseng hore ho lakatsa ho lemalla papali ea chelete le ho lakatsa ho lemalla lintho tse itseng ho ka tsamaisana le mekhoa e tšoanang ea methapo. Boithuto bo fetileng ba sebopeho sa neuroimaging bo boetse ba tlaleha bosholu ba litaba tsa OFC sehlopheng sa OGA [1], [4]. Tumellanong le liphumano tsena tse sebetsang le tse hlophisitsoeng, thuto ea rona e fumane boleng bo phahameng ba ALFF ho ​​medical OFC ho bacha le OGA ha ba bapisoa le taolo. Ho feta moo, khokahano ea bohlokoa lipakeng tsa boleng ba ALFF ba OFC le ts'ebetso ea mosebetsi nakong ea tlhahlobo ea lentsoe-Stroop ea mebala e ile ea bonoa sehlopheng sa OGA (Setšoantšo sa 3). Liphuputso tse fetileng tsa ho lemalla li bontsitse setsoalle lipakeng tsa ts'ebetso ea Stroop le metabolism ea tsoekere ho OFC har'a lithuto tse lemaletseng koae. [24]. Kamano ena ea ts'ebetso ea ts'ebetso ea kelello e bonts'itse hore thepa ea ho phomola e sa tloaelehang ea OFC e ne e amana le bokhoni ba taolo ba kelello ba ho lahla bacha ba nang le OGA.

Litekanyetso tsa ALFF li ne li le kholo ka ho hlaka lithutong tsa OGA ha li bapisoa le taolo. The precuneus ke karolo ea boko bokong ba posteromedial cortex ea parietal lobe mme e bapala karolo ea bohlokoa ho ts'ebetsong ea mantlha ea kelello [25]. Ho reriloe hore precemeus e tla ameha ho khutlisetseng mohopolo oa episodic, litšoantšong tsa moea, ho iphekola le ho tseba [25]. Haufinyane, bafuputsi ba bang ba boetse ba tlaleha ReHo ka ho leqeleng le letšehali ho baithuti ba koleche ea OGA ha ba bapisoa le taolo [11]. Ho feta moo, patlisiso e bonts'itse hore fantisius e ne e amana le takatso ea papali, ho lakatsa le ho teba ha OGA, mme e khothalelitse hore ts'ebetso ea ts'ebetso ea ts'ebetso ea ts'ebetso ea ts'ebetso ea ts'ebetso ea ts'ebetso ea ts'ebetso ea papali e kenelle papaling, e kenyelle mohopolo o khutliselitsoeng mme e kenye letsoho ho tseng takatso ea papali ea papali ea papali ea inthanete. [26]. Ka hona, re fana ka maikutlo a hore litlolo tsa boemo ba phomolo ba molao oa mantlha ba lilemong tsa bocha tse nang le OGA li ka amahanngoa le ho lakatsa ho qeta nako e telele ho OGA.

Litekanyetso tse kholo tsa ALFF lithutong tsa OGA, tse amanang le taolo, le tsona li fumanoe ho SMA ea ho le letšehali, MCC e kopaneng le PHG e nepahetseng. SMA e bapala karolo ea bohlokoa taolong ea kelello, ketso ea boithaopo, ho qala / ho thibela likarabo tsa makoloi [27] hape le likhohlanong tsa maikutlo [28]. MCC ke karolo e bohareng ea bohloeki ba cingate ebile e bohlokoa bakeng sa ho shebana le ho rarolla likhohlano [29]. Boithuto ba morao-rao ba tšebeliso ea lithethefatsi bo tlalehiloe tlhekefetso e amanang le bokhoba ba SMA le MCC [30], [31]. PHG e nahanoa hore e kenya letsoho ho theheng le ho bolokeng tlhahisoleseling e sebetsang mohopolong oa ho sebetsa [32]. Ho hopola ho sebetsa ho bua ka poloko ea nakoana le tlhaiso-leseling e fumanehang marang-rang hape e bohlokoa bakeng sa taolo ea kelello [33]. Liu et al. ho tlalehiloe hore ReHo e eketsehile ka har'a naha ea bobeli ea baithuti ba kolecheng ea OGA ha ba bapisoa le taolo [11]. Ntle le moo, bafuputsi ba bang ba boetse ba fumane ho hloka botsitso ho tlatsana ha PHG lithutong tsa OGA [4]. Liphetho tsa rona li netefalitse mokhoa o sa tloaelehang oa ho phomola oa PHG lilemong tsa bocha le OGA.

Qetellong, thutong e teng hona joale, re hlokometse hore ALFF e ne e sa tloaeleha lilemong tsa bocha le OGA ha e bapisoa le taolo, ke ho re melao ea ALFF e phahameng ka ho fetesisa ea medic OFC, leqeleng le letšehali, e ne e le SMA, PHG e nepahetseng le bankeng ea naha. Hape re hlokometse hore boleng bo phahameng ba ALFF ho ​​medial ea kushoto ea OFC le li-precuneus tse setseng li ne li amana hantle le nako ea OGA. Litekanyetso tsa ALFF tsa OFC e ka ho le letšehali li ne li hokahantsoe le tšebetso ea 'mala oa lentsoe Stroop (ke hore, liphoso tsa karabo) sehlopheng sa OGA. Liphumano tsa rona li khothalelitse hore ts'ebetso e sa tloaelehang ea ho itšunya-tšunya ea libaka tsena e ka bonts'a sepheo sa pathophysiology ho basebelisi ba OGA. Ka lebaka la liphetho tse tšoanang tsa 'muso tsa phomolo tse amanang le bokhoba ba lithethefatsi tse amanang le lithethefatsi, re khothalelitse hore OGA e ka arolelana mekhoa ea methapo le tšebeliso ea lithethefatsi. Ho bohlokoa ho hlokomela hore khatello ea maikutlo e lokela ho nkuoa e le pherekano e ka bang teng ha ho hlalosoa liphetho tsa thuto e morao-rao thutong ea morao tjena. Boithuto bo bong bo eketsehileng bo hlokahala ho fana ka maikutlo a eketsehileng a saense mabapi le OGA.

lumela hore baa fokola

Re rata ho leboha Qin Ouyang, Qizhu Wu, Junran Zhang, Changjian Hu le Haifeng Luo bakeng sa thuso ea bohlokoa ea tekheniki ho etsa lipatlisiso tsena.

Tlhaloso ea lithuso

Pampiri ena e tšehelitsoe ke Morero oa Lenaneo la Naha la Liphuputso tsa Motheo le Nts'etsopele (973) tlasa Grant No. 2011CB707700; National Natural Science Foundation ea China tlasa Grant Nos. 81227901, 81271644, 81271546, 30930112, 81000640, 81000641, 81101036, 81101108, 31200837, 81030027, 81301281; le Ditjhelete tsa Patlo ya Boithuto ba Diyunivesithi tsa Bohareng, Setheo sa Saense ya Tlhaho ya Inner Mongolia tlasa Grant No. 2012MS0908. Bafani ba lichelete ba ne ba sena karolo morerong oa ho ithuta, ho bokella data le ho hlahlobisisa, qeto ea ho phatlalatsa, kapa ho hlophisa sengoloa.

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