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Neurobiological substrates of the dread of future losses.
Wang, Pinchun; Zhang, Han; Deng, Kun; Chen, Shuning; Im, Hohjin; Zhu, Wenwei; Yang, Shaofeng; Wei, Shiyu; Wang, He; Wang, Qiang.
Afiliação
  • Wang P; Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China.
  • Zhang H; School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China.
  • Deng K; Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China.
  • Chen S; Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China.
  • Im H; Department of Psychological Science, University of California Irvine, Irvine, CA 92697-7085, United States.
  • Zhu W; Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China.
  • Yang S; Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China.
  • Wei S; Key Research Base of Humanities and Social of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China.
  • Wang H; Tianjin Social Science Laboratory of Students' Mental Development and Learning, Tianjin Normal University, Tianjin 300387, China.
  • Wang Q; Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China.
Cereb Cortex ; 33(9): 5323-5335, 2023 04 25.
Article em En | MEDLINE | ID: mdl-36320161
ABSTRACT
When anticipating future losses, people respond by exhibiting 1 of 2 starkly distinct behavioral decision patterns the dread of future losses (DFL) and the preference of future losses (vs. immediate losses). Yet, how to accurately discriminate between those who exhibit dread vs. preference and uncover the potential neurobiological substrates underlying these 2 groups remain understudied. To address this, we designed a novel experimental task in which the DFL group was defined as selecting immediate-loss options >50% in the trials with approximate subjective value in immediate and delayed options (n = 16), otherwise coding as the preference of future losses (PFL). At the behavioral level, DFL exhibited higher weight for delayed losses than immediate losses via the logistic regression model. At the neural level, DFL manifested hypoactivations on subjective valuations of delayed losses, atypical brain pattern when choosing immediate-loss options, and decreased functional coupling between the valuation and choice-systems when making decisions related to immediate-loss alternatives compared with PFL. Moreover, both these brain activations subserving distinct decision processes and their interactions predicted individual decisions and behavioral preferences. Furthermore, morphological analysis also revealed decreased right precuneus volume in DFL compared with PFL, and brain activations related to valuation and choice process mediated the associations between this region volume and behavioral performances. Taken together, these findings help to clarify potential cognitive and neural mechanisms underlying the DFL and provide a clear discrimination strategy.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Tomada de Decisões Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Tomada de Decisões Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China