Working Memory Capacity Depends on Attention Control, but Not Selective Attention.

attention control individual differences selective attention working memory

Journal

Behavioral sciences (Basel, Switzerland)
ISSN: 2076-328X
Titre abrégé: Behav Sci (Basel)
Pays: Switzerland
ID NLM: 101576826

Informations de publication

Date de publication:
22 Jan 2023
Historique:
received: 15 12 2022
revised: 18 01 2023
accepted: 19 01 2023
entrez: 25 2 2023
pubmed: 26 2 2023
medline: 26 2 2023
Statut: epublish

Résumé

Working memory and attention are interrelated constructs that are sometimes even considered indistinguishable. Since attention is not a uniform construct, it is possible that different types of attention affect working memory capacity differently. To clarify this issue, we investigated the relationship between working memory capacity and various components of attention. The sample consisted of 136 healthy adult participants aged 18 to 37 years (M = 20.58, SD = 2.74). Participants performed tasks typically used to assess working memory (operation span, change detection, simple digit span, and adaptive digit span tasks), selective attention (visual search task), and attention control (Stroop and antisaccade tasks). We tested several models with working memory and attention, either as a unitary factor or being divided into selective attention and attention control factors. A confirmatory factor analysis showed that the model with three latent variables-working memory capacity, attention control, and selective attention-fit the data best. Results showed that working memory and attention are distinct but correlated constructs: working memory capacity was only related to attention control, whereas attention control was related to both constructs. We propose that differences in working memory capacity are determined only by the ability to maintain attention on the task, while differences in the ability to filter out non-salient distractors are not related to working memory capacity.

Identifiants

pubmed: 36829321
pii: bs13020092
doi: 10.3390/bs13020092
pmc: PMC9952259
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Russian Science Foundation
ID : 17-78-30028

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Auteurs

Alexander I Kotyusov (AI)

Academic and Research Laboratory of Neurotechnology, Ural Federal University, Ekaterinburg 620000, Russia.

Dauren Kasanov (D)

Academic and Research Laboratory of Neurotechnology, Ural Federal University, Ekaterinburg 620000, Russia.

Alexandra I Kosachenko (AI)

Academic and Research Laboratory of Neurotechnology, Ural Federal University, Ekaterinburg 620000, Russia.

Anastasia S Gashkova (AS)

Center of Population Research, Ural Institute of Humanities, Ural Federal University, Ekaterinburg 620002, Russia.

Yuri G Pavlov (YG)

Academic and Research Laboratory of Neurotechnology, Ural Federal University, Ekaterinburg 620000, Russia.
Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, 72076 Tübingen, Germany.

Sergey Malykh (S)

Developmental Behavioral Genetics Lab, Psychological Institute of Russian Academy of Education, 9-4 Mokhovaya str., Moscow 125009, Russia.
Department of Psychology, Lomonosov Moscow State University, 11-5, Mokhovaya Str., Moscow 125009, Russia.

Classifications MeSH