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REVIEW article

Front. Behav. Neurosci.

Sec. Pathological Conditions

Volume 19 - 2025 | doi: 10.3389/fnbeh.2025.1637582

Neural Mechanisms of Maladaptive Risk Decision-Making Across Psychiatric Disorders

Provisionally accepted
Shanling  JiShanling Ji1*Wenjie  XiaWenjie Xia1Yuhui  WangYuhui Wang1Cancan  LinCancan Lin1Defu  ZhangDefu Zhang1Xvbo  WangXvbo Wang2Yue  WangYue Wang1Yuxin  DuYuxin Du1Hao  YuHao Yu1
  • 1Jining Medical University, Jining, China
  • 2Shandong Province Ankang Hospital, Jining, China

The final, formatted version of the article will be published soon.

Risk decision-making is a fundamental cognitive process that involves distributed neural circuits, with impairments observed across various psychiatric conditions. This systematic review synthesizes current evidence on the neurobiological substrates underlying maladaptive risk processing, highlighting three key findings. First, frontostriatal dysregulation is identified as a central feature, characterized by prefrontal hypoactivation and striatal hyperreactivity, particularly prominent in bipolar disorder and addiction. Second, disorder-specific neural signatures are noted, such as insular dysfunction in anxiety disorders, ventral striatal blunting in depression, and orbitofrontal-insula decoupling in schizophrenia. Third, computational modeling reveals distinct alterations in risk sensitivity, loss aversion, and reward valuation parameters across different diagnostic categories. This review also evaluates principal assessment methodologies and therapeutic interventions. Future research should prioritize the integration of computational psychiatry with multimodal biomarkers to advance both theoretical models and clinical applications.

Keywords: Risk decision-making, frontostriatal circuits, Computational Psychiatry, Transdiagnostic, Neuromodulation

Received: 29 May 2025; Accepted: 17 Jul 2025.

Copyright: © 2025 Ji, Xia, Wang, Lin, Zhang, Wang, Wang, Du and Yu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Shanling Ji, Jining Medical University, Jining, China

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