Evidence map›Paper›PMID 42621042›Full record

ArticleFrontiers in aging neuroscience2026

Hearing technology and the brain: cognitive function in different hearing device users.

Bamini Gopinath, Jessica Turner, George Burlutsky, Shermin Lim, Alicia Zou, Ghazal Shineh, Kerry Sherman, Kompal Sinha, Diana Tang

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in aging neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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.

Bamini GopinathMacquarie University Hearing, Department of Health Sciences, Macquarie University, Sydney, NSW, Australia.
Jessica TurnerMacquarie University Hearing, Department of Health Sciences, Macquarie University, Sydney, NSW, Australia.
George BurlutskyMacquarie University Hearing, Department of Health Sciences, Macquarie University, Sydney, NSW, Australia.
Shermin LimMacquarie University Hearing, Department of Health Sciences, Macquarie University, Sydney, NSW, Australia.
Alicia ZouMacquarie University Hearing, Department of Health Sciences, Macquarie University, Sydney, NSW, Australia.
Ghazal ShinehMacquarie University Hearing, Department of Health Sciences, Macquarie University, Sydney, NSW, Australia.
Kerry ShermanLifespan Health and Wellbeing Research Centre, Macquarie University, Sydney, NSW, Australia.
Kompal SinhaMacquarie Business School, Department of Economics, Macquarie University, Sydney, NSW, Australia.
Diana TangMacquarie University Hearing, Department of Health Sciences, Macquarie University, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is an evidence-gap on how different hearing devices influence cognition. This study aimed to simultaneously compare cognitive performance across key domains among hearing aid, cochlear implant and bimodal device users. Methods: Cross-sectional data were collected and analyzed as part of the Hearing Impairment in Adults: A Longitudinal Outcomes Study, during 2022-24. Adults aged ≥40 years old using hearing aids, cochlear implants, or bimodal hearing devices were recruited. Of 1054 approached, 617 participants had complete data: 387, 127, and 103 hearing aid, cochlear implant and bimodal device users, respectively. Cognitive function was assessed using the Cogstate Brief Battery among the different device user groups. Results: In the overall population, no significant differences were observed in Cogstate Brief Battery scores between device users. Age-stratified analyses (<70 and ≥70 years) was conducted, and cochlear implant compared to hearing aid users aged <70 had better reaction times in the following test - Detection (psychomotor function): 2.54 versus 2.58 ( Conclusion: These findings suggest that hearing device type is not uniformly associated with cognitive performance, but rather that age and cognitive domain critically shape observed differences. This underscores the importance of more targeted cognitive monitoring in adults with hearing loss.

Indexed as

adultscognitive functionepidemiologyhearing deviceshearing loss

Identifiers

PMID42621042
PMCPMC13485867

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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.