Relation between choice-induced preference change and depression

PLoS One. 2017 Jun 29;12(6):e0180041. doi: 10.1371/journal.pone.0180041. eCollection 2017.

Abstract

Most experimental studies of depressive symptom effects on decision-making have examined situations in which a single correct answer exists based on external circumstances (externally guided decision-making, e.g., gambling task). In addition to such decision-making, for decision-making of other types, no correct answer exists based on external circumstances (internally guided decision-making, e.g., preference judgment). For internally guided decision-making, a phenomenon is known by which preference for the chosen item increases and preference for the rejected item is decreased after choosing between two equally preferred items which is designated as choice-induced preference change. Recent reports suggest that this phenomenon is explainable by reinforcement learning theory just as it is with externally guided decision-making. Although many earlier studies have revealed the effects of depression in externally guided decision-making, the relation between depressive symptoms and choice-induced preference change remains unclear. This study investigated the relation between depressive symptoms and choice-induced preference change using the blind choice paradigm. Results show that depressive symptoms are correlated with change in preference of rejected items (Spearman's r = .28, p = .04): depressed individuals tend to show less decreased preference of rejected items. These results indicate that individual differences of depressive symptoms affect choice-induced preference change. We discuss the mechanisms underlying the relation between depression and choice-induced preference change.

MeSH terms

  • Adolescent
  • Adult
  • Choice Behavior*
  • Depression / psychology*
  • Female
  • Humans
  • Male
  • Young Adult

Grants and funding

This work was supported by JSPS KAKENHI Grants (26285168), JSPS KAKENHI Grants (25870467), and the Center of Innovation Program of the Japan Science and Technology Agency (JST).