論文

国際誌
2021年6月20日

Psychiatric symptoms influence reward-seeking and loss-avoidance decision-making through common and distinct computational processes.

Psychiatry and clinical neurosciences
  • Shinsuke Suzuki
  • ,
  • Yuichi Yamashita
  • ,
  • Kentaro Katahira

記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1111/pcn.13279

AIM: Psychiatric symptoms are often accompanied by impairments in decision-making to attain rewards and avoid losses. However, due to the complex nature of mental disorders (e.g., high comorbidity), symptoms that are specifically associated with deficits in decision-making remain unidentified. Furthermore, the influence of psychiatric symptoms on computations underpinning reward-seeking and loss-avoidance decision-making remains elusive. Here, we aim to address these issues by leveraging a large-scale online experiment and computational modeling. METHODS: In the online experiment, we recruited 1900 non-diagnostic participants from the general population. They performed either a reward-seeking or loss-avoidance decision-making task, and subsequently completed questionnaires about psychiatric symptoms. RESULTS: We found that one trans-diagnostic dimension of psychiatric symptoms related to compulsive behavior and intrusive thought (CIT) was negatively correlated with overall decision-making performance in both the reward-seeking and loss-avoidance tasks. A deeper analysis further revealed that, in both tasks, the CIT psychiatric dimension was associated with lower preference for the options that recently led to better outcomes (i.e. reward or no-loss). On the other hand, in the reward-seeking task only, the CIT dimension was associated with lower preference for recently unchosen options. CONCLUSION: These findings suggest that psychiatric symptoms influence the two types of decision-making, reward-seeking and loss-avoidance, through both common and distinct computational processes.

リンク情報
DOI
https://doi.org/10.1111/pcn.13279
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/34151477
ID情報
  • DOI : 10.1111/pcn.13279
  • PubMed ID : 34151477

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