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The electrophysiology and structural difference between humans with distinct risky preference: a study based on EEG and MRI.
Si, Yajing; Jiang, Lin; Yi, Chanlin; Zhang, Tao; Feng, Yu; Li, Peiyang; Wan, Feng; Li, Ping; Yao, Dezhong; Li, Fali; Xu, Peng.
Afiliación
  • Si Y; School of Psychology, Xinxiang Medical University, Xinxiang 453003, China.
  • Jiang L; The Clinical Hospital of Chengdu Brain Science Institute, Ministry of Education Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, China.
  • Yi C; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China.
  • Zhang T; The Clinical Hospital of Chengdu Brain Science Institute, Ministry of Education Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, China.
  • Feng Y; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China.
  • Li P; The Clinical Hospital of Chengdu Brain Science Institute, Ministry of Education Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, China.
  • Wan F; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China.
  • Li P; Mental Health Education Center, Xihua University, Chengdu 611731, China.
  • Yao D; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China.
  • Li F; School of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing 404100, China.
  • Xu P; Faculty of Science and Technology, University of Macau, Macau 999077, China.
Cereb Cortex ; 33(15): 9429-9437, 2023 07 24.
Article en En | MEDLINE | ID: mdl-37328940
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Toma de Decisiones / Electroencefalografía Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Toma de Decisiones / Electroencefalografía Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article