Literature DB >> 28521266

Neural mechanisms of reward processing associated with depression-related personality traits.

Akina Umemoto1, Clay B Holroyd2.   

Abstract

OBJECTIVE: Although impaired reward processing in depression has been well-documented, the exact nature of that deficit remains poorly understood. To investigate the link between depression and the neural mechanisms of reward processing, we examined individual differences in personality.
METHODS: We recorded the electroencephalogram from healthy college students engaged in a probabilistic reinforcement learning task. Participants also completed several personality questionnaires that assessed traits related to reward sensitivity, motivation, and depression. We examined whether behavioral measures of reward learning and event-related potential components related to outcome processing and reward anticipation-namely, the cue and feedback-related reward positivity (RewP) and the stimulus preceding negativity (SPN)-would link these personality traits to depression.
RESULTS: Participants who scored high in reward sensitivity produced a relatively larger feedback-RewP. By contrast, participants who scored high in depression learned the contingencies for infrequently rewarded cue-response combinations relatively poorly, exhibited a larger SPN, and produced a smaller feedback-RewP, especially to outcomes following cue-response combinations that were frequently rewarded.
CONCLUSION: These results point to a primary deficit in reward valuation in individuals who score high in depression, with secondary consequences that impact reward learning and anticipation. SIGNIFICANCE: Despite recent evidence arguing for an anticipatory deficit in depression, impaired reward valuation as a primary deficit should be further examined in clinical samples.
Copyright © 2017 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Depression; Individual differences; Reinforcement learning; Reward anticipation; Reward outcome processing; Reward positivity

Mesh:

Year:  2017        PMID: 28521266     DOI: 10.1016/j.clinph.2017.03.049

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  7 in total

1.  Modulatory effects of positive mood and approach motivation on reward processing: Two sides of the same coin?

Authors:  Katharina Paul; Gilles Pourtois; Eddie Harmon-Jones
Journal:  Cogn Affect Behav Neurosci       Date:  2020-04       Impact factor: 3.282

2.  An Integrated Sleep and Reward Processing Model of Major Depressive Disorder.

Authors:  Elaine M Boland; Jennifer R Goldschmied; Emily Wakschal; Robin Nusslock; Philip R Gehrman
Journal:  Behav Ther       Date:  2020-01-13

3.  Win, lose, or draw: Examining salience, reward memory, and depression with the reward positivity.

Authors:  Nathan M Hager; Matt R Judah; Eric Rawls
Journal:  Psychophysiology       Date:  2021-10-12       Impact factor: 4.016

4.  Neural Sensitivity to Social and Monetary Reward in Depression: Clarifying General and Domain-Specific Deficits.

Authors:  Belel Ait Oumeziane; Olivia Jones; Dan Foti
Journal:  Front Behav Neurosci       Date:  2019-10-09       Impact factor: 3.558

5.  Reward processing electrophysiology in schizophrenia: Effects of age and illness phase.

Authors:  Samantha V Abram; Brian J Roach; Clay B Holroyd; Martin P Paulus; Judith M Ford; Daniel H Mathalon; Susanna L Fryer
Journal:  Neuroimage Clin       Date:  2020-11-05       Impact factor: 4.881

6.  Emotional Contexts Modulate Anticipatory Late Positive Component and Reward Feedback Negativity in Adolescents With Major Depressive Disorder.

Authors:  Wenhai Zhang; Caizhi Liao; Fanggui Tang; Shirui Liu; Jing Chen; Lulu Zheng; Ping Zhang; Qiang Ding; Hong Li
Journal:  Front Psychiatry       Date:  2020-04-29       Impact factor: 4.157

7.  Event-Related Potentials (ERP) Indices of Motivation during the Effort Expenditure for Reward Task.

Authors:  Julie Giustiniani; Magali Nicolier; Juliana Teti Mayer; Thibault Chabin; Caroline Masse; Nathan Galmès; Lionel Pazart; Benoit Trojak; Djamila Bennabi; Pierre Vandel; Emmanuel Haffen; Damien Gabriel
Journal:  Brain Sci       Date:  2020-05-08
  7 in total

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