Predictability-Based Source Segregation and Sensory Deviance Detection in Auditory Aging.

Electroencephalography (EEG) auditory scene analysis elderly listeners foreground-background separation mismatch negativity (MMN) predictive coding temporal processing

Journal

Frontiers in human neuroscience
ISSN: 1662-5161
Titre abrégé: Front Hum Neurosci
Pays: Switzerland
ID NLM: 101477954

Informations de publication

Date de publication:
2021
Historique:
received: 30 06 2021
accepted: 08 10 2021
entrez: 15 11 2021
pubmed: 16 11 2021
medline: 16 11 2021
Statut: epublish

Résumé

When multiple sound sources are present at the same time, auditory perception is often challenged with disentangling the resulting mixture and focusing attention on the target source. It has been repeatedly demonstrated that background (distractor) sound sources are easier to ignore when their spectrotemporal signature is predictable. Prior evidence suggests that this ability to exploit predictability for foreground-background segregation degrades with age. On a theoretical level, this has been related with an impairment in elderly adults' capabilities to detect certain types of sensory deviance in unattended sound sequences. Yet the link between those two capacities, deviance detection and predictability-based sound source segregation, has not been empirically demonstrated. Here we report on a combined behavioral-EEG study investigating the ability of elderly listeners (60-75 years of age) to use predictability as a cue for sound source segregation, as well as their sensory deviance detection capacities. Listeners performed a detection task on a target stream that can only be solved when a concurrent distractor stream is successfully ignored. We contrast two conditions whose distractor streams differ in their predictability. The ability to benefit from predictability was operationalized as performance difference between the two conditions. Results show that elderly listeners can use predictability for sound source segregation at group level, yet with a high degree of inter-individual variation in this ability. In a further, passive-listening control condition, we measured correlates of deviance detection in the event-related brain potential (ERP) elicited by occasional deviations from the same spectrotemporal pattern as used for the predictable distractor sequence during the behavioral task. ERP results confirmed neural signatures of deviance detection in terms of mismatch negativity (MMN) at group level. Correlation analyses at single-subject level provide no evidence for the hypothesis that deviance detection ability (measured by MMN amplitude) is related to the ability to benefit from predictability for sound source segregation. These results are discussed in the frameworks of sensory deviance detection and predictive coding.

Identifiants

pubmed: 34776906
doi: 10.3389/fnhum.2021.734231
pmc: PMC8586071
doi:

Types de publication

Journal Article

Langues

eng

Pagination

734231

Informations de copyright

Copyright © 2021 Neubert, Förstel, Debener and Bendixen.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Christiane R Neubert (CR)

Cognitive Systems Lab, Faculty of Natural Sciences, Institute of Physics, Chemnitz University of Technology, Chemnitz, Germany.

Alexander P Förstel (AP)

Neuropsychology Lab, Department of Psychology, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.

Stefan Debener (S)

Neuropsychology Lab, Department of Psychology, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.

Alexandra Bendixen (A)

Cognitive Systems Lab, Faculty of Natural Sciences, Institute of Physics, Chemnitz University of Technology, Chemnitz, Germany.

Classifications MeSH