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Outcome Anticipation and Appraisal During Risk Decision Making in Heroin Addicts

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Human Centered Computing (HCC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9567))

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Abstract

The gambling task is a valid predictor of various risk-taking behaviors. However, the neural underpinnings of risk processing in addiction are yet unclear. The present event related potential (ERP) study examined electrophysiological correlates associated with different stages of risky reward processing in risk-taking behavior. Ten female heroin addicts (HA) and ten female normal controls (NC) performed a simple two-choice gambling task. Behaviorally, whereas HA exhibited a risk-increase pattern, NC showed a risk-neutral pattern. During the anticipation stage, an increased stimulus-preceding negativity was elicited by high-risk compared to low-risk choices in HA and NC. Furthermore, HA as compared to NC exhibited a diminished P300 to both gains and losses.

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Acknowledgements

This work was supported by the National Basic Research Program of China (973 Program) (No. 2014CB744600, No. 2011CB711000), the Program of International S&T Cooperation of MOST (No. 2013DFA11140), the National Natural Science Foundation of China (grant No. 61210010, No. 61300231), and Natural Science Foundation of Gansu Province, China (1208RJZA127)

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Correspondence to Bin Hu .

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Yang, J. et al. (2016). Outcome Anticipation and Appraisal During Risk Decision Making in Heroin Addicts. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2016. Lecture Notes in Computer Science(), vol 9567. Springer, Cham. https://doi.org/10.1007/978-3-319-31854-7_48

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  • DOI: https://doi.org/10.1007/978-3-319-31854-7_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31853-0

  • Online ISBN: 978-3-319-31854-7

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