書誌： J Behav Ther Exp Psychiatry ,2012
Yoshihiko Kunisato, Yasumasa Okamoto, Kazutaka Ueda, Keiichi Onoda, Go Okada, Shinpei Yoshimura, Shin-ichi Suzuki, Kazuyuki Samejima, Shigeto Yamawaki. (2012), Effects of depression on reward-based decision making and variability of action in probabilistic learning. J Behav Ther Exp Psychiatry, 43(4), 1088-1094.
Abstract 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 eDepression (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 s, 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.