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Dysfunctional connectivity patterns in chronic heroin users: An fMRI study
Liu, Jixin1; Liang, Jimin1; Qin, Wei1; Tian, Jie1,2; Yuan, Kai1; Bai, Lijun1; Zhang, Yi1; Wang, Wei3; Wang, Yarong3; Li, Qiang3; Zhao, Liyan4; Lu, Lin4; von Deneen, Karen M.5,6; Liu, Yijun5,6; Gold, Mark S.5,6
Source PublicationNEUROSCIENCE LETTERS
2009-08-21
Volume460Issue:1Pages:72-77
SubtypeArticle
AbstractRecent functional neuroimaging studies have examined cognitive inhibitory control, decision-making and stress regulation in heroin addiction using a cue-reactivity paradigm. Few studies have considered impairments in heroin users from an integrated perspective for evaluation of their brain functions. We hypothesized that the brain regions that are dysregulated in the chronic heroin users during cue-reactivity studies may also show dysfunctional connectivity in memory, inhibition and motivation-related dysfunctions during a resting state free of cues. The present study used resting functional magnetic resonance imaging (fMRI) to compare the interaction of brain regions between 12 chronic heroin users and 12 controls by employing a novel graph theory analysis (GTA) method. As a data-driven approach, GTA has the advantage of evaluating the strength as well as the temporal and spatial patterns of interactions among the brain regions. Abnormal topological properties were explored in the brain of chronic heroin users, such as the dysfunctional connectivity in the prefrontal cortex, ACC, SMA, ventral striatum, insula, amygdala and hippocampus. Our results suggest that GTA is a useful tool in defining dysregulated neural networks even during rest. This dysfunctional brain connectivity may contribute to decrease self-control, impaired inhibitory function as well deficits in stress regulation in chronic heroin users. (C) 2009 Elsevier Ireland Ltd. All rights reserved.
KeywordFmri Chronic Heroin User Graph Theory Analysis Resting State
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordNEUROIMAGING EVIDENCE ; DRUG-ADDICTION ; HUMAN BRAIN ; STRESS ; INTEGRATION ; NETWORKS ; RELAPSE ; CORTEX ; NEUROBIOLOGY ; ASSOCIATION
Indexed BySCI
Language英语
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000267633400015
Citation statistics
Cited Times:86[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3928
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie
Affiliation1.Xidian Univ, Sch Elect Engn, Life Sci Res Ctr, Xian 710071, Shaanxi, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
3.Fourth Mil Med Univ, Xian 710038, Shaanxi, Peoples R China
4.Peking Univ, Natl Inst Drug Dependence, Beijing 100083, Peoples R China
5.Univ Florida, McKnight Brain Inst, Dept Psychiat, Gainesville, FL 32610 USA
6.Univ Florida, McKnight Brain Inst, Dept Neurosci, Gainesville, FL 32610 USA
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Liu, Jixin,Liang, Jimin,Qin, Wei,et al. Dysfunctional connectivity patterns in chronic heroin users: An fMRI study[J]. NEUROSCIENCE LETTERS,2009,460(1):72-77.
APA Liu, Jixin.,Liang, Jimin.,Qin, Wei.,Tian, Jie.,Yuan, Kai.,...&Gold, Mark S..(2009).Dysfunctional connectivity patterns in chronic heroin users: An fMRI study.NEUROSCIENCE LETTERS,460(1),72-77.
MLA Liu, Jixin,et al."Dysfunctional connectivity patterns in chronic heroin users: An fMRI study".NEUROSCIENCE LETTERS 460.1(2009):72-77.
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