Effects of depression on reward-based decision making and variability of action in probabilistic learning

Yoshihiko Kunisato, Yasumasa Okamoto, Kazutaka Ueda, Keiichi Onoda, Go Okada, Shinpei Yoshimura, Shin Ichi Suzuki, Kazuyuki Samejima, Shigeto Yamawaki*

*この研究の対応する著者

研究成果: Article査読

50 被引用数 (Scopus)

抄録

Background and objectives: Depression is characterized by low reward sensitivity in behavioral studies applying signal detection theory. We examined deficits in reward-based decision making in depressed participants during a probabilistic learning task, and used a reinforcement learning model to examine learning parameters during the task. Methods: Thirty-six nonclinical undergraduates completed a probabilistic selection task. Participants were divided into depressed and non-depressed groups based on Center for Epidemiologic Studies-Depression (CES-D) cut scores. We then applied a reinforcement learning model to every participant's behavioral data. Results: Depressed participants showed a reward-based decision making deficit and higher levels of the learning parameter τ, which modulates variability of action selection, as compared to non-depressed participants. Highly variable action selection is more random and characterized by difficulties with selecting a specific course of action. Conclusion: These results suggest that depression is characterized by deficits in reward-based decision making as well as high variability in terms of action selection.

本文言語English
ページ(範囲)1088-1094
ページ数7
ジャーナルJournal of Behavior Therapy and Experimental Psychiatry
43
4
DOI
出版ステータスPublished - 2012 12

ASJC Scopus subject areas

  • 実験心理学および認知心理学
  • 人文科学(その他)
  • 臨床心理学
  • 精神医学および精神衛生

フィンガープリント

「Effects of depression on reward-based decision making and variability of action in probabilistic learning」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル