Cocktail-party listening and cognitive abilities show strong pleiotropy.

cocktail-party listening cognition genetic correlation genetics hearing threshold hidden hearing loss

Journal

Frontiers in neurology
ISSN: 1664-2295
Titre abrégé: Front Neurol
Pays: Switzerland
ID NLM: 101546899

Informations de publication

Date de publication:
2023
Historique:
received: 16 10 2022
accepted: 21 02 2023
entrez: 27 3 2023
pubmed: 28 3 2023
medline: 28 3 2023
Statut: epublish

Résumé

The cocktail-party problem refers to the difficulty listeners face when trying to attend to relevant sounds that are mixed with irrelevant ones. Previous studies have shown that solving these problems relies on perceptual as well as cognitive processes. Previously, we showed that speech-reception thresholds (SRTs) on a cocktail-party listening task were influenced by genetic factors. Here, we estimated the degree to which these genetic factors overlapped with those influencing cognitive abilities. We measured SRTs and hearing thresholds (HTs) in 493 listeners, who ranged in age from 18 to 91 years old. The same individuals completed a cognitive test battery comprising 18 measures of various cognitive domains. Individuals belonged to large extended pedigrees, which allowed us to use variance component models to estimate the narrow-sense heritability of each trait, followed by phenotypic and genetic correlations between pairs of traits. All traits were heritable. The phenotypic and genetic correlations between SRTs and HTs were modest, and only the phenotypic correlation was significant. By contrast, all genetic SRT-cognition correlations were strong and significantly different from 0. For some of these genetic correlations, the hypothesis of complete pleiotropy could not be rejected. Overall, the results suggest that there was substantial genetic overlap between SRTs and a wide range of cognitive abilities, including abilities without a major auditory or verbal component. The findings highlight the important, yet sometimes overlooked, contribution of higher-order processes to solving the cocktail-party problem, raising an important caveat for future studies aiming to identify specific genetic factors that influence cocktail-party listening.

Identifiants

pubmed: 36970519
doi: 10.3389/fneur.2023.1071766
pmc: PMC10035755
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1071766

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB015611
Pays : United States

Informations de copyright

Copyright © 2023 Mathias, Knowles, Mollon, Rodrigue, Woolsey, Hernandez, Garret, Fox, Olvera, Peralta, Kumar, Göring, Duggirala, Curran, Blangero and Glahn.

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. The handling editor declared a shared affiliation, though no other collaboration, with the authors at time of review.

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Auteurs

Samuel R Mathias (SR)

Department of Psychiatry, Boston Children's Hospital, Boston, MA, United States.
Harvard Medical School, Boston, MA, United States.

Emma E M Knowles (EEM)

Department of Psychiatry, Boston Children's Hospital, Boston, MA, United States.
Harvard Medical School, Boston, MA, United States.

Josephine Mollon (J)

Department of Psychiatry, Boston Children's Hospital, Boston, MA, United States.
Harvard Medical School, Boston, MA, United States.

Amanda L Rodrigue (AL)

Department of Psychiatry, Boston Children's Hospital, Boston, MA, United States.
Harvard Medical School, Boston, MA, United States.

Mary K Woolsey (MK)

Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, United States.

Alyssa M Hernandez (AM)

Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, United States.

Amy S Garret (AS)

Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, United States.

Peter T Fox (PT)

Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, United States.
South Texas Veterans Health Care System, San Antonio, TX, United States.

Rene L Olvera (RL)

Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, United States.

Juan M Peralta (JM)

Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States.

Satish Kumar (S)

Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States.

Harald H H Göring (HHH)

Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States.

Ravi Duggirala (R)

Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States.

Joanne E Curran (JE)

Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States.

John Blangero (J)

Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States.

David C Glahn (DC)

Department of Psychiatry, Boston Children's Hospital, Boston, MA, United States.
Harvard Medical School, Boston, MA, United States.

Classifications MeSH