Selective spatial attention in lateralized multi-talker speech perception: EEG correlates and the role of age.

Aging Alpha lateralization Dynamic cocktail-party situation LPCpc N2ac Spatial attention Speech perception

Journal

Neurobiology of aging
ISSN: 1558-1497
Titre abrégé: Neurobiol Aging
Pays: United States
ID NLM: 8100437

Informations de publication

Date de publication:
06 2023
Historique:
received: 25 08 2022
revised: 06 02 2023
accepted: 07 02 2023
medline: 18 4 2023
pubmed: 8 3 2023
entrez: 7 3 2023
Statut: ppublish

Résumé

Speech comprehension under dynamic cocktail party conditions requires auditory search for relevant speech content and focusing spatial attention on the target talker. Here, we investigated the development of these cognitive processes in a population of 329 participants aged 20-70 years. We used a multi-talker speech detection and perception task in which pairs of words (each consisting of a cue and a target word) were simultaneously presented from lateralized positions. Participants attended to predefined cue words and responded to the corresponding target. Task difficulty was varied by presenting cue and target stimuli at different intensity levels. Decline in performance was observed only in the oldest group (age range 53-70 years) and only in the most difficult condition. The EEG analysis of neurocognitive correlates of lateralized auditory attention and stimulus evaluation (N2ac, LPCpc, alpha power lateralization) revealed age-associated changes in focussing on and processing of task-relevant information, while no such deficits were found on early auditory search and target segregation. Irrespective of age, more challenging listening conditions were associated with an increased allocation of attentional resources.

Identifiants

pubmed: 36881943
pii: S0197-4580(23)00029-5
doi: 10.1016/j.neurobiolaging.2023.02.003
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-13

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosure statement All authors disclose no actual or potential conflicts of interest including any financial, personal, or other relationships with other people or organizations that could inappropriately influence (bias) their work.

Auteurs

Stephan Getzmann (S)

Department of Ergonomics, Leibniz Research Centre for Working Environment and Human Factors at the Technical University of Dortmund (IfADo), Dortmund, Germany. Electronic address: getzmann@ifado.de.

Daniel Schneider (D)

Department of Ergonomics, Leibniz Research Centre for Working Environment and Human Factors at the Technical University of Dortmund (IfADo), Dortmund, Germany.

Edmund Wascher (E)

Department of Ergonomics, Leibniz Research Centre for Working Environment and Human Factors at the Technical University of Dortmund (IfADo), Dortmund, Germany.

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Classifications MeSH