Evidence map›Paper›PMID 36970519›Full record

ArticleFrontiers in neurology2023

Cocktail-party listening and cognitive abilities show strong pleiotropy.

Samuel R Mathias, Emma E M Knowles, Josephine Mollon, Amanda L Rodrigue, Mary K Woolsey, Alyssa M Hernandez, Amy S Garret, Peter T Fox, Rene L Olvera, Juan M Peralta and 6 more

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Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Samuel R MathiasDepartment of Psychiatry, Boston Children's Hospital, Boston, MA, United States.
Emma E M KnowlesDepartment of Psychiatry, Boston Children's Hospital, Boston, MA, United States.
Josephine MollonDepartment of Psychiatry, Boston Children's Hospital, Boston, MA, United States.
Amanda L RodrigueDepartment of Psychiatry, Boston Children's Hospital, Boston, MA, United States.
Mary K WoolseyResearch Imaging Institute, University of Texas Health Science Center, San Antonio, TX, United States.
Alyssa M HernandezResearch Imaging Institute, University of Texas Health Science Center, San Antonio, TX, United States.
Amy S GarretResearch Imaging Institute, University of Texas Health Science Center, San Antonio, TX, United States.
Peter T FoxResearch Imaging Institute, University of Texas Health Science Center, San Antonio, TX, United States.
Rene L OlveraResearch Imaging Institute, University of Texas Health Science Center, San Antonio, TX, United States.
Juan M PeraltaDepartment of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States.
Satish KumarDepartment 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 GöringDepartment of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States.
Ravi DuggiralaDepartment of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States.
Joanne E CurranDepartment of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States.
John BlangeroDepartment of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States.
David C GlahnDepartment of Psychiatry, Boston Children's Hospital, Boston, MA, United States.

Funding

SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Imaging Genomics of the Aging BrainR01AG058464 · NIA · YALE UNIVERSITY · PI BLANGERO, JOHN, GLAHN, DAVID C · 2018 to 2022
$3.9M
NIA NIH HHS R01 AG058464NIBIB NIH HHS R01 EB015611
6 · The paper itself

Abstract

Introduction: 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. Methods: 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. Results: 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. Discussion: 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.

Indexed as

cocktail-party listeningcognitiongenetic correlationgeneticshearing thresholdhidden hearing loss

Identifiers

PMID36970519
PMCPMC10035755

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.