Evidence map›Paper›PMID 35762658›Full record

ArticleAnnals of the New York Academy of Sciences2022

Musical experience partially counteracts temporal speech processing deficits in putative mild cognitive impairment.

Caitlin N Price, Gavin M Bidelman

Abstract read
In one paragraph

Article in Annals of the New York Academy of Sciences, 2022. 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
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

2 authors.

Caitlin N PriceDepartment of Audiology and Speech Pathology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.ORCID 0000-0002-4079-6387
Gavin M BidelmanDepartment of Speech, Language and Hearing Sciences, Indiana University, Bloomington, Indiana, USA.ORCID 0000-0002-1821-3261

Funding

Neuroimaging biomarkers of speech processing deficits in MCIR01DC016267 · NIDCD · UNIVERSITY OF MEMPHIS · PI BIDELMAN, GAVIN M. · 2018 to 2022
$2.1M
NIDCD NIH HHS R01 DC016267NIDCD NIH HHS R01DC016267-03S1
6 · The paper itself

Abstract

Mild cognitive impairment (MCI) commonly results in more rapid cognitive and behavioral declines than typical aging. Individuals with MCI can exhibit impaired receptive speech abilities that may reflect neurophysiological changes in auditory-sensory processing prior to usual cognitive deficits. Benefits from current interventions targeting communication difficulties in MCI are limited. Yet, neuroplasticity associated with musical experience has been implicated in improving neural representations of speech and offsetting age-related declines in perception. Here, we asked whether these experience-dependent effects of musical experience might extend to aberrant aging and offer some degree of cognitive protection against MCI. During a vowel categorization task, we recorded single-channel electroencephalograms (EEGs) in older adults with putative MCI to evaluate speech encoding across subcortical and cortical levels of the auditory system. Critically, listeners varied in their duration of formal musical experience (0-21 years). Musical experience sharpened temporal precision in auditory cortical responses, suggesting that musical experience produces more efficient processing of acoustic features by counteracting age-related neural delays. Additionally, robustness of brainstem responses predicted the severity of cognitive decline, suggesting that early speech representations are sensitive to preclinical stages of cognitive impairment. Our results extend prior studies by demonstrating positive benefits of musical experience in older adults with emergent cognitive impairments.

Indexed as

Cognitive DysfunctionMusicSpeech PerceptionAcoustic StimulationAgedAuditory PerceptionHumansSpeechauditory event-related potentials (ERPs)cognitive agingexperience-dependent plasticityfrequency-following response (FFR)music-to-language transfer effects

Identifiers

PMID35762658
PMCPMC9588638

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Registered trials

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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.