Abnormal Attentional Bias of Non-Drug Reward in Abstinent Heroin Addicts: An ERP Study

Hao, Yanrong; Li, Yonghui; Li, Jianxiu; Peng, Hong; Zhao, Qingwei; Hu, Bin

doi:10.1109/taffc.2020.3025799

Cited by 6 publications

(2 citation statements)

References 62 publications

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“…Most of the previous studies have studied the EEG generated by the subjects after the stimulation [7,15,16], but there are few studies on the EEG produced before stimulation. At the same time, it is rare to propose that the EEG can be used to predict behaviors.…”

Section: Behavioural Neurologymentioning

confidence: 99%

“…There is a more profound recognition about decision-making in neural systems, especially those concerned with rewards and punishments [4,5]. These studies use the system of rewards and punishment experiments to extract the features in EEG [6][7][8]. In addition, human behaviors can be influenced more intensively by the change of reward and punishment mechanism, such as conditioned reinforces and probability changes [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments

Shen

Liu

et al. 2022

Behavioural Neurology

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Extraction and analysis of the EEG (electroencephalograph) information features generated during behavioral decision-making can provide a better understanding of the state of mind. Previous studies have focused more on the brainwave features after behavioral decision-making. In fact, the EEG before decision-making is more worthy of our attention. In this study, we introduce a new index based on the reaction time of subjects before decision-making, called the Prestimulus Time (PT), which have important reference value for the study of cognitive function, neurological diseases, and other fields. In our experiments, we use a wearable EEG feature signal acquisition device and a systematic reward and punishment experiment to obtain the EEG features before and after behavioral decision-making. The experimental results show that the EEG generated after behavioral decision due to loss is more intense than that generated by gain in the medial frontal cortex (MFC). In addition, different characteristics of EEG signals are generated prior to behavioral decisions because people have different expectations of the outcome. It will produce more significant negative-polarity event-related potential (ERP) in the forebrain area when the humans are optimistic about the outcomes.

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Section: Behavioural Neurologymentioning

confidence: 99%