An investigation of working memory deficits in depression using the n-back task: A systematic review and meta-analysis.


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
01 04 2021
Historique:
received: 23 11 2020
revised: 12 01 2021
accepted: 31 01 2021
pubmed: 14 2 2021
medline: 27 4 2021
entrez: 13 2 2021
Statut: ppublish

Résumé

Depression is associated with cognitive deficits across multiple domains, including working memory. The n-back task, a convenient psychometric tool capable of computerised delivery and concurrent use with neuroimaging, can provide enhanced insight into working memory dysfunction in depression. This meta-analysis sought to investigate the n-back task under varying cognitive load conditions (i.e. different levels of 'n') to clarify the pattern of working memory deficits in depression. We conducted a systematic review and meta-analysis of studies involving unipolar depressed participants and matched controls utilising the n-back task. Meta-analyses were performed for accuracy and response times at four levels of cognitive load (0-, 1-, 2-, and 3-back). 31 studies (total 1,666 participants) met inclusion criteria and were included for quantitative analyses. Depressed individuals had significantly reduced accuracy compared to controls for 1-, 2-, and 3-back tasks, but not the attentional 0-back task. Likewise, response latencies were prolonged for all task levels (0-, 1-, 2-, and 3-back). Additional meta-regression analyses indicated that participant age and clinical status (i.e. inpatient/outpatient) may exacerbate working memory deficits associated with depression. Our results indicate high levels of heterogeneity between studies, particularly for response times. Accuracy impairments were worse at higher levels of n, with the largest effect size obtained on the 2-back task, suggesting deficits to higher executive functions. Response times were consistently prolonged at all cognitive loads in agreement with a pattern of generalised psychomotor retardation.

Sections du résumé

BACKGROUND
Depression is associated with cognitive deficits across multiple domains, including working memory. The n-back task, a convenient psychometric tool capable of computerised delivery and concurrent use with neuroimaging, can provide enhanced insight into working memory dysfunction in depression. This meta-analysis sought to investigate the n-back task under varying cognitive load conditions (i.e. different levels of 'n') to clarify the pattern of working memory deficits in depression.
METHODS
We conducted a systematic review and meta-analysis of studies involving unipolar depressed participants and matched controls utilising the n-back task. Meta-analyses were performed for accuracy and response times at four levels of cognitive load (0-, 1-, 2-, and 3-back).
RESULTS
31 studies (total 1,666 participants) met inclusion criteria and were included for quantitative analyses. Depressed individuals had significantly reduced accuracy compared to controls for 1-, 2-, and 3-back tasks, but not the attentional 0-back task. Likewise, response latencies were prolonged for all task levels (0-, 1-, 2-, and 3-back). Additional meta-regression analyses indicated that participant age and clinical status (i.e. inpatient/outpatient) may exacerbate working memory deficits associated with depression.
LIMITATIONS
Our results indicate high levels of heterogeneity between studies, particularly for response times.
CONCLUSIONS
Accuracy impairments were worse at higher levels of n, with the largest effect size obtained on the 2-back task, suggesting deficits to higher executive functions. Response times were consistently prolonged at all cognitive loads in agreement with a pattern of generalised psychomotor retardation.

Identifiants

pubmed: 33581489
pii: S0165-0327(21)00107-5
doi: 10.1016/j.jad.2021.01.084
pii:
doi:

Types de publication

Journal Article Meta-Analysis Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-8

Informations de copyright

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

Auteurs

Stevan Nikolin (S)

School of Psychiatry, University of New South Wales, Sydney, Australia; Black Dog Institute, Sydney, Australia. Electronic address: stevan.nikolin@unsw.edu.au.

Yi Yin Tan (YY)

School of Psychiatry, University of New South Wales, Sydney, Australia.

Andreas Schwaab (A)

School of Psychiatry, University of New South Wales, Sydney, Australia.

Adriano Moffa (A)

School of Psychiatry, University of New South Wales, Sydney, Australia.

Colleen K Loo (CK)

School of Psychiatry, University of New South Wales, Sydney, Australia; Black Dog Institute, Sydney, Australia; St. George Hospital, Sydney, Australia.

Donel Martin (D)

School of Psychiatry, University of New South Wales, Sydney, Australia; Black Dog Institute, Sydney, Australia.

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Classifications MeSH