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Training attention improves decision making in individuals with elevated self-reported depressive symptoms

  • Jessica A. Cooper
  • Marissa A. Gorlick
  • Taylor Denny
  • Darrell A. Worthy
  • Christopher G. Beevers
  • W. Todd Maddox
Article

Abstract

Depression is often characterized by attentional biases toward negative items and away from positive items, which likely affects reward and punishment processing. Recent work has reported that training attention away from negative stimuli reduced this bias and reduced depressive symptoms. However, the effect of attention training on subsequent learning has yet to be explored. In the present study, participants were required to learn to maximize reward during decision making. Undergraduates with elevated self-reported depressive symptoms received attention training toward positive stimuli prior to performing the decision-making task (n = 20; active training). The active-training group was compared to two other groups: undergraduates with elevated self-reported depressive symptoms who received placebo training (n = 22; placebo training) and a control group with low levels of depressive symptoms (n = 33; nondepressive control). The placebo-training depressive group performed worse and switched between options more than did the nondepressive controls on the reward maximization task. However, depressives that received active training performed as well as the nondepressive controls. Computational modeling indicated that the placebo-trained group learned more from negative than from positive prediction errors, leading to more frequent switching. The nondepressive control and active-training depressive groups showed similar learning from positive and negative prediction errors, leading to less-frequent switching and better performance. Our results indicate that individuals with elevated depressive symptoms are impaired at reward maximization, but that the deficit can be improved with attention training toward positive stimuli.

Keywords

Depression Decision making Computational modeling Reflexive processing Reward Punishment 

Notes

Author note

This research was funded by NIDA Grant No. DA032457 to W.T.M. and C.G.B., and by AFOSR Grant No. FA9550-11-C-0028 to W.T.M. The first author was supported by a National Defense Science and Engineering Graduate (NDSEG) Fellowship. We thank Seth Koslov for help with the data collection.

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Copyright information

© Psychonomic Society, Inc. 2013

Authors and Affiliations

  • Jessica A. Cooper
    • 1
    • 3
  • Marissa A. Gorlick
    • 1
    • 3
  • Taylor Denny
    • 1
  • Darrell A. Worthy
    • 2
  • Christopher G. Beevers
    • 1
    • 3
  • W. Todd Maddox
    • 1
    • 3
    • 4
  1. 1.Department of PsychologyThe University of TexasAustinUSA
  2. 2.Psychology DepartmentTexas A&MBryanUSA
  3. 3.Institute for Mental Health ResearchUniversity of TexasAustinUSA
  4. 4.Institute for Neuroscience and Center for Perceptual SystemsUniversity of TexasAustinUSA

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