Navigation auf zora.uzh.ch

Search ZORA

ZORA (Zurich Open Repository and Archive)

Auditory encoding of natural speech at subcortical and cortical levels is not indicative of cognitive decline

Bolt, Elena; Giroud, Nathalie (2024). Auditory encoding of natural speech at subcortical and cortical levels is not indicative of cognitive decline. eNeuro, 11(5):ENEURO.0545-23.2024.

Abstract

More and more patients worldwide are diagnosed with dementia, which emphasizes the urgent need for early detection markers. In this study, we built on the auditory hypersensitivity theory of a previous study—which postulated that responses to auditory input in the subcortex as well as cortex are enhanced in cognitive decline—and examined auditory encoding of natural continuous speech at both neural levels for its indicative potential for cognitive decline. We recruited study participants aged 60 years and older, who were divided into two groups based on the Montreal Cognitive Assessment, one group with low scores (n = 19, participants with signs of cognitive decline) and a control group (n = 25). Participants completed an audiometric assessment and then we recorded their electroencephalography while they listened to an audiobook and click sounds. We derived temporal response functions and evoked potentials from the data and examined response amplitudes for their potential to predict cognitive decline, controlling for hearing ability and age. Contrary to our expectations, no evidence of auditory hypersensitivity was observed in participants with signs of cognitive decline; response amplitudes were comparable in both cognitive groups. Moreover, the combination of response amplitudes showed no predictive value for cognitive decline. These results challenge the proposed hypothesis and emphasize the need for further research to identify reliable auditory markers for the early detection of cognitive decline.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Special Collections > Centers of Competence > Competence Centre Language and Medicine Zurich
06 Faculty of Arts > Linguistic Research Infrastructure (LiRI)
Dewey Decimal Classification:000 Computer science, knowledge & systems
150 Psychology
410 Linguistics
Scopus Subject Areas:Life Sciences > General Neuroscience
Uncontrolled Keywords:EEG, cortex, brainstem, auditory nerve, machine learning, temporal response function
Language:English
Date:May 2024
Deposited On:22 May 2024 07:21
Last Modified:31 Dec 2024 02:37
Publisher:Society for Neuroscience
ISSN:2373-2822
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1523/ENEURO.0545-23.2024
PubMed ID:38658138
Download PDF  'Auditory encoding of natural speech at subcortical and cortical levels is not indicative of cognitive decline'.
Preview
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

Metadata Export

Statistics

Citations

Dimensions.ai Metrics
2 citations in Web of Science®
2 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

19 downloads since deposited on 22 May 2024
19 downloads since 12 months
Detailed statistics

Authors, Affiliations, Collaborations

Similar Publications