Differential reinforcement learning responses to positive and negative information in unmedicated individuals with depression.


Journal

European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology
ISSN: 1873-7862
Titre abrégé: Eur Neuropsychopharmacol
Pays: Netherlands
ID NLM: 9111390

Informations de publication

Date de publication:
12 2021
Historique:
received: 30 09 2020
revised: 23 07 2021
accepted: 06 08 2021
pubmed: 14 9 2021
medline: 12 4 2022
entrez: 13 9 2021
Statut: ppublish

Résumé

Major depressive disorder (MDD) is characterized by behavioral and neural abnormalities in processing both rewarding and aversive stimuli, which may impact motivational and affective symptoms. Learning paradigms have been used to assess reinforcement encoding abnormalities in MDD and their association with dysfunctional incentive-based behavior, but how the valence and context of information modulate this learning is not well understood. To address these gaps, we examined responses to positive and negative reinforcement across multiple temporal phases of information processing. While undergoing functional magnetic resonance imaging (fMRI), 47 participants (23 unmedicated, predominantly medication-naïve participants with MDD and 24 demographically-matched HC participants) completed a probabilistic, feedback-based reinforcement learning task that allowed us to separate neural activation during motor response (choice) from reinforcement feedback and monetary outcome across two independent conditions: pursuing gains and avoiding losses. In the gain condition, MDD participants showed overall blunted learning responses (prediction error) in the dorsal striatum when receiving monetary outcome, and reduced responses in ventral striatum for positive, but not negative, prediction error. The MDD group showed enhanced sensitivity to negative information, and symptom severity was associated with better behavioral performance in the loss condition. These findings suggest that striatal responses during learning are abnormal in individuals with MDD but vary with the valence of information.

Identifiants

pubmed: 34517334
pii: S0924-977X(21)00466-1
doi: 10.1016/j.euroneuro.2021.08.002
pmc: PMC8633147
mid: NIHMS1745095
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

89-100

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH099322
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH101521
Pays : United States
Organisme : NIMH NIH HHS
ID : R37 MH068376
Pays : United States

Informations de copyright

Copyright © 2021 Elsevier B.V. and ECNP. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Jenna M Reinen (JM)

IBM Thomas J. Watson Research Center, Computational Biology Center, Yorktown Heights, NY, United States.

Alexis E Whitton (AE)

McLean Hospital and Department of Psychiatry, Harvard Medical School, Belmont, MA, United States; Black Dog Institute, University of New South Wales, Sydney, NSW, Australia.

Diego A Pizzagalli (DA)

McLean Hospital and Department of Psychiatry, Harvard Medical School, Belmont, MA, United States.

Mark Slifstein (M)

New York State Psychiatric Institute, 1051 Riverside Drive, Unit 69, New York, NY 10032, United States; Department of Psychiatry, State University of New York at Stony Brook, Stony Brook, NY, United States.

Anissa Abi-Dargham (A)

New York State Psychiatric Institute, 1051 Riverside Drive, Unit 69, New York, NY 10032, United States; Department of Psychiatry, State University of New York at Stony Brook, Stony Brook, NY, United States.

Patrick J McGrath (PJ)

Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, United States.

Dan V Iosifescu (DV)

Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Department of Psychiatry, New York University School of Medicine, New York, NY, United States; Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States.

Franklin R Schneier (FR)

New York State Psychiatric Institute, 1051 Riverside Drive, Unit 69, New York, NY 10032, United States; Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, United States. Electronic address: fschneier@nyspi.columbia.edu.

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