Evidence map›Paper›PMID 39307937›Full record

ArticleEar and hearing

Remote Microphone Systems for Autistic and Nonautistic Youth: Effects on Audiovisual Task Engagement.

Kacie Dunham-Carr, Nisha Mailapur, Bahar Keçeli-Kaysili, Jacob I Feldman, Emily Thompson, Hilary Davis, Anne Marie Tharpe, Erin Picou, Tiffany G Woynaroski

Abstract read
In one paragraph

Article in Ear and hearing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

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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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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Kacie Dunham-CarrDepartment of Hearing and Speech Sciences, Vanderbilt University, Nashville, Tennessee, USA.
Nisha MailapurThe SyBBURE Searle Undergraduate Research Program, Vanderbilt University, Nashville, Tennessee, USA.
Bahar Keçeli-KaysiliDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Jacob I FeldmanDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Emily ThompsonDepartment of Hearing and Speech Sciences, Vanderbilt University, Nashville, Tennessee, USA.
Hilary DavisDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Anne Marie TharpeDepartment of Hearing and Speech Sciences, Vanderbilt University, Nashville, Tennessee, USA.
Erin PicouDepartment of Hearing and Speech Sciences, Vanderbilt University, Nashville, Tennessee, USA.
Tiffany G WoynaroskiDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Lea K Davis · 2020 to 2026
$10.3M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
NRSA Training CoreTL1TR002244 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Julie A. Bastarache · 2017 to 2026
$4.6M
Sensory Project in Infant/Toddler Siblings of Children with Autism (Project SPIS)R01DC020186 · NIDCD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Tiffany Woynaroski · 2022 to 2026
$3.2M
Looking and LanguageK99DC021501 · NIDCD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FELDMAN, JACOB I · 2024 to 2025
$260k
Looking to and Processing of Audiovisual Speech in Infants at Risk for AutismF31DC020129 · NIDCD · VANDERBILT UNIVERSITY · PI DUNHAM-CARR, KACIE · 2021 to 2024
$89k
NCATS NIH HHS TL1 TR002244NCATS NIH HHS TL1TR002244NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1TR000445NICHD NIH HHS P50 HD103537NICHD NIH HHS U54 HD083211NIDCD NIH HHS F31 DC020129NIDCD NIH HHS F31 DC020129-01A1NIDCD NIH HHS K99 DC021501NIDCD NIH HHS R01 DC020186NSF NRT DGE 19-22697
6 · The paper itself

Abstract

objectivesA recent study has provided empirical support for the use of remote microphone (RM) systems to improve listening-in-noise performance of autistic youth. It has been proposed that RM system effects might be achieved by boosting engagement in this population. The present study used behavioral coding to test this hypothesis in autistic and nonautistic youth listening in an ecologically valid, noisy environment.

designWe drew on extant data from a recent experimental study in which 56 youth (32 autistic, 24 nonautistic) matched at the group level on age and biological sex completed listening-in-noise tasks wherein they reported their perception of audiovisual syllables, words, sentences, and passages with and without an RM system; conditions were counter-balanced across participants. As previously reported, perceptual accuracy varied with stimulus complexity and overall improved with the RM system, with improvements not significantly different between groups. Video recordings of participants completing listening-in-noise tasks in both conditions were coded via a 5-second, partial-interval coding system by naive coders for (a) engagement in the task (indexed via proportion of intervals in which participants displayed on-task behaviors) and (b) verbal, stimulus-specific protesting in the task (indexed via proportion of intervals in which participants displayed verbal, stimulus-specific protesting behaviors). Examples of on-task behaviors included attending to the screen and completing task activities. Examples of protesting behaviors included complaining about stimuli volume or the inability to hear. Chronological age, autism features, language ability, audiovisual speech integration as measured by psychophysical tasks, tactile responsiveness, and nonverbal intelligence quotient were evaluated as putative predictors and/or moderators of effects on behaviors of interest.

resultsIn general, participants were highly engaged in the task, and there were few protests, reflecting more than 90% and fewer than 0.5% of coded intervals, respectively. We did not detect any statistically significant effects of group or RM system use on task engagement. Nonautistic youth were engaged in the listening-in-noise task for an average of 97.45% of intervals, whereas autistic youth were engaged in the listening-in-noise task for an average of 94.25% of intervals. In contrast, verbal, stimulus-specific protesting in the listening-in-noise task was significantly reduced, on average, in the RM (0.04% of intervals) versus the No RM (0.2% of intervals) conditions. There were no effects related to group for this behaviorally coded outcome. In addition, select participant characteristics predicted engagement within conditions across participants. Greater language ability and nonverbal intelligence quotient predicted increased engagement when not using an RM system. Increased features of autism and wider temporal binding windows for audiovisual speech predicted reduced engagement while using an RM system, and greater audiovisual integration predicted increased engagement while using an RM system.

conclusionsThe results of this study suggest that RM system use reduces verbal, stimulus-specific protesting, which likely reflects difficulty engaging when listening in noise. The present study extends our previous study to provide additional empirical support for RM system use in autistic and nonautistic youth.

Indexed as

Auditory PerceptionAutistic DisorderHearing AidsNoiseSpeech PerceptionAdolescentChildFemaleHumansMaleVisual Perception

Identifiers

PMID39307937
PMCPMC11832330

What OpenQuestion holds

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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.