Faʻaleagaina lumaal-Basal Ganglia fesoʻotaʻiga i tupulaga talavou faʻatasi ai ma vaisu i le initaneti (2014)

• ¹1] School of Biomedical Engineering, Fourth Military Medical University, Xi’an, Shaanxi, 710032, China [2] Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan 410073, P.R. China.
• ²The Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG UK.
• ³School of Biomedical Engineering, Fourth Military Medical University, Xi’an, Shaanxi, 710032, China.
• ⁴Second Xiangya Hospital of Central South University, Changsha, China.
• ⁵Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan 410073, P.R. China.

Understanding the neural basis of poor impulse control in Internet addiction (IA) is important for understanding the neurobiological mechanisms of this syndrome. The current study investigated how neuronal pathways implicated in response inhibition were affected in IA using a Go-Stop paradigm and functional magnetic resonance imaging (fMRI). Twenty-three control subjects aged 15.2 ± 0.5 years (mean ± S.D.) and eighteen IA subjects aged 15.1 ± 1.4 years were studied. Effective connectivity within the response inhibition network was quantified using (stochastic) dynamic causal modeling (DCM).

O taunuuga na faaalia ai o le auala tuusao o le ganglia o le frontal-basal na faia i le taliina o tali i mataupu maloloina. Ae ui i lea, matou te leʻi mauaina soʻo se faʻafesoʻotaʻi lelei i le vaega IA. O loʻo taʻu mai ai e le mafai e le IA mataupu ona faʻaaogaina lenei auala ma faʻalavelave ai i mea e le manaʻomia. O lenei suʻesuʻega e maua ai se fesoʻotaʻiga vavalalata i le va o le initaneti o mea ua fai ma vaisu e avea o se amio le atoatoa ma le fesoʻotaʻi vavalalata i le fesoʻotaʻiga o le inhibition tali.