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Abstinent Heroin Addicts Tend to Take Risks: ERP and Source Lolecalization
Zhao, Qinglin1; Li, Hongqian1; Hu, Bin1; Wu, Haiyan2,3; Liu, Quanying4,5,6; Bin Hu; Quanying Liu
2017-12-06
发表期刊FRONTIERS IN NEUROSCIENCE
通讯作者邮箱bh@lzu.edu.cn ; liuqy1989@gmail.com
ISSN1662-453X
文章类型Article
卷号11页码:1-12
产权排序2
摘要

Abnormal decision making is a behavioral characteristic of drug addiction. Indeed, drug addicts prefer immediate rewards at the expense of future interests. Assessing the neurocognitive basis of decision-making related to drug dependence, combining event-related potential (ERP) analysis and source localization techniques, may provide new insights into understanding decision-making deficits in drug addicts and further guide withdrawal treatment. In this study, EEG was performed in 20 abstinent heroin addicts (AHAs) and 20 age-, education- and gender-matched healthy controls (HCs) while they participated in a simple two-choice gambling task (99 vs. 9). Our behavioral results showed that AHAs tend to select higher-risk choices compared with HCs (i.e., more "99" choices than "9"). ERP results showed that right hemisphere preponderance of stimulus-preceding negativity was disrupted in AHAs, but not in HCs, Feedback-related negativity of difference wave was higher in AHAs than HCs, with the P300 amplitude associated with risk magnitude and valence. Using source localization that allows identification of abnormal brain activity in consequential cognitive stages, including the reward expectation and outcome evaluation stages, we found abnormalities in both behavioral and neural responses on gambling in AHAs. Taken together, our findings suggest AHAs have risk-prone tendency and dysfunction in adaptive decision making, since they continue to choose risky options even after accruing considerable negative scores, and fail to shift to a safer strategy to avoid risk. Such abnormal decision-making bias to risk and immediate reward seeking may be accompanied by abnormal reward expectation and evaluation in AHAs, which explains their high risk-seeking and impulsivity.

关键词gambling task decision making ERP stimulus preceding negativity feedback related negativity P300 source localization heroin addiction
DOI10.3389/fnins.2017.00681
收录类别SCI ; SSCI
语种英语
项目资助者National Basic Research Program of China (973 Program)(2014CB744600) ; Program of International Samp ; National Natural Science Foundation of China(61210010 ; National key foundation for developing scientific instruments(61627808) ; Program of Beijing Municipal Science amp ; James Boswell Fellowship ; T Cooperation of MOST(2Q13DFA11140) ; 61632014) ; Technology Commission(Z171100000117005)
WOS研究方向Neurosciences & Neurology
WOS类目Neurosciences
WOS记录号WOS:000417263900001
WOS标题词Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]STIMULUS-PRECEDING NEGATIVITY ; FEEDBACK-RELATED NEGATIVITY ; ANTERIOR CINGULATE CORTEX ; DECISION-MAKING COGNITION ; MEDIAL FRONTAL-CORTEX ; PREFRONTAL CORTEX ; BRAIN POTENTIALS ; ELECTROMAGNETIC TOMOGRAPHY ; SOURCE LOCALIZATION ; REWARD PREDICTION
引用统计
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/26015
专题社会与工程心理学研究室
通讯作者Bin Hu; Quanying Liu
作者单位1.Lanzhou Univ, Ubiquitous Awareness & Intelligent Solut Lab, Lanzhou, Gansu, Peoples R China
2.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
4.Katholieke Univ Leuven, Movement Control & Neuroplast Res Grp, Leuven, Belgium
5.Swiss Fed Inst Technol, Neural Control Movement Lab, Zurich, Switzerland
6.CALTECH, Dept Control & Dynam Syst, Pasadena, CA 91125 USA
推荐引用方式
GB/T 7714
Zhao, Qinglin,Li, Hongqian,Hu, Bin,et al. Abstinent Heroin Addicts Tend to Take Risks: ERP and Source Lolecalization[J]. FRONTIERS IN NEUROSCIENCE,2017,11:1-12.
APA Zhao, Qinglin.,Li, Hongqian.,Hu, Bin.,Wu, Haiyan.,Liu, Quanying.,...&Quanying Liu.(2017).Abstinent Heroin Addicts Tend to Take Risks: ERP and Source Lolecalization.FRONTIERS IN NEUROSCIENCE,11,1-12.
MLA Zhao, Qinglin,et al."Abstinent Heroin Addicts Tend to Take Risks: ERP and Source Lolecalization".FRONTIERS IN NEUROSCIENCE 11(2017):1-12.
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