The electrophysiology and structural difference between humans with distinct risky preference: a study based on EEG and MRI

Abstract Risky decision-making is affected by past feedback, especially after encountering the beneficial loss in the past decision-making round, yet little is known about the mechanism accounting for the distinctive decision-making that different individuals may make under the past loss context. We...

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Veröffentlicht in:Cerebral cortex (New York, N.Y. 1991) N.Y. 1991), 2023-07, Vol.33 (15), p.9429-9437
Hauptverfasser: Si, Yajing, Jiang, Lin, Yi, Chanlin, Zhang, Tao, Feng, Yu, Li, Peiyang, Wan, Feng, Li, Ping, Yao, Dezhong, Li, Fali, Xu, Peng
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Sprache:eng
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Zusammenfassung:Abstract Risky decision-making is affected by past feedback, especially after encountering the beneficial loss in the past decision-making round, yet little is known about the mechanism accounting for the distinctive decision-making that different individuals may make under the past loss context. We extracted decision functional medial frontal negative (MFN) and the cortical thickness (CT) from multi-modality electroencephalography (EEG) and T1-weighted structural MRI (sMRI) datasets to assess the individual risky decision under the past loss context. First, concerning the MFN, the low-risk group (LRG) exhibits larger MFN amplitude and longer reaction time than the high-risk group (HRG) when making risky decisions under the loss context. Subsequently, the sMRI analysis reveals a greater CT in the left anterior insula (AI) for HRG compared with LRG, and a greater CT in AI is associated with a high level of impulsivity, driving individuals to make risky choices under the past loss context. Furthermore, for all participants, the corresponding risky decision behavior could be exactly predicted as a correlation coefficient of 0.523 was acquired, and the classification by combing the MFN amplitude and the CT of the left AI also achieves an accuracy of 90.48% to differentiate the two groups. This study may offer new insight into understanding the mechanism that accounts for the inter-individual variability of risky decisions under the loss context and denotes new indices for the prediction of the risky participants.
ISSN:1047-3211
1460-2199
DOI:10.1093/cercor/bhad216