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Abstinent Heroin Addicts Tend to Take Risks: ERP and Source Localization

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 l...

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Autores principales: Zhao, Qinglin, Li, Hongqian, Hu, Bin, Wu, Haiyan, Liu, Quanying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5723666/
https://www.ncbi.nlm.nih.gov/pubmed/29270107
http://dx.doi.org/10.3389/fnins.2017.00681
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author Zhao, Qinglin
Li, Hongqian
Hu, Bin
Wu, Haiyan
Liu, Quanying
author_facet Zhao, Qinglin
Li, Hongqian
Hu, Bin
Wu, Haiyan
Liu, Quanying
author_sort Zhao, Qinglin
collection PubMed
description 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.
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spelling pubmed-57236662017-12-21 Abstinent Heroin Addicts Tend to Take Risks: ERP and Source Localization Zhao, Qinglin Li, Hongqian Hu, Bin Wu, Haiyan Liu, Quanying Front Neurosci Neuroscience 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. Frontiers Media S.A. 2017-12-06 /pmc/articles/PMC5723666/ /pubmed/29270107 http://dx.doi.org/10.3389/fnins.2017.00681 Text en Copyright © 2017 Zhao, Li, Hu, Wu and Liu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Zhao, Qinglin
Li, Hongqian
Hu, Bin
Wu, Haiyan
Liu, Quanying
Abstinent Heroin Addicts Tend to Take Risks: ERP and Source Localization
title Abstinent Heroin Addicts Tend to Take Risks: ERP and Source Localization
title_full Abstinent Heroin Addicts Tend to Take Risks: ERP and Source Localization
title_fullStr Abstinent Heroin Addicts Tend to Take Risks: ERP and Source Localization
title_full_unstemmed Abstinent Heroin Addicts Tend to Take Risks: ERP and Source Localization
title_short Abstinent Heroin Addicts Tend to Take Risks: ERP and Source Localization
title_sort abstinent heroin addicts tend to take risks: erp and source localization
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5723666/
https://www.ncbi.nlm.nih.gov/pubmed/29270107
http://dx.doi.org/10.3389/fnins.2017.00681
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