Evidence map›Paper›PMID 42591333›Full record

ArticleFrontiers in aging2026

Individual differences in hearing decline predict region-specific brain and cognitive changes in healthy aging men.

Kamine Julie Jacobsen, Mostafa Mehdipour Ghazi, Reena Murmu Nielsen, Elaine Hoi Ning Ng, Nelly Shenton, Line Skødebjerg Kristensen, Olalla Urdanibia-Centelles, Sine Kongsbak Arvedsen, Henrik Bo Wiberg Larsson, Mark Bitch Vestergaard and 2 more

Abstract read
In one paragraph

Article in Frontiers in aging, 2026. 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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0citing papers in PubMed
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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

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

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5 · Who and what money

Authors and funding

12 authors.

Kamine Julie JacobsenDepartment of Neurology, Section of Clinical Neurophysiology, Zealand University Hospital, Roskilde, Denmark.
Mostafa Mehdipour GhaziDepartment of Computer Science, Pioneer Centre for AI, University of Copenhagen, Copenhagen Ø, Denmark.
Reena Murmu NielsenOticon A/S, Smørum, Denmark.
Elaine Hoi Ning NgOticon A/S, Smørum, Denmark.
Nelly ShentonDepartment of Neurology, Section of Clinical Neurophysiology, Zealand University Hospital, Roskilde, Denmark.
Line Skødebjerg KristensenDepartment of Neurology, Section of Clinical Neurophysiology, Zealand University Hospital, Roskilde, Denmark.
Olalla Urdanibia-CentellesDepartment of Neurophysiology, Rigshospitalet, Glostrup, Denmark.
Sine Kongsbak ArvedsenDepartment of Neurophysiology, Rigshospitalet, Glostrup, Denmark.
Henrik Bo Wiberg LarssonFaculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Mark Bitch VestergaardDepartment of Clinical Physiology and Nuclear Medicine, Rigshospitalet, Copenhagen, Denmark.
Martin LauritzenFaculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Krisztina BenedekDepartment of Neurology, Section of Clinical Neurophysiology, Zealand University Hospital, Roskilde, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cognitive decline in aging is heterogeneous and accelerates after approximately 60 years of age. Hearing decline is a common, potentially modifiable risk factor that may contribute to individual differences in cognitive aging and brain structural change. In addition to its cognitive consequences, hearing loss can impair communication and contribute to reduced social participation, loneliness, and poorer quality of life. However, the extent to which longitudinal changes in hearing predict cognitive performance and regional brain structure remains unclear. Methods: We assessed 51 healthy males from a longitudinal birth cohort extensively evaluated with cognitive testing and MRI across the lifespan. At ages 70 and 71 (recruited in 2024), participants completed four-frequency pure-tone audiometry (4PTA), audible contrast threshold (ACT), speech-in-noise tests (HINT), cognitive assessments, and structural MRI scans. All participants had a prior visit at age 63 ± 1 year (recruited in 2015-2018) with the same cognitive test battery. Previously, machine learning algorithm models were used to identify cognitive decline, and participants were clustered into four cognitive trajectories. These predefined clusters were used to examine whether hearing measures (4PTA, ACT, HINT) predicted cognitive outcomes and brain volume. Findings: The combination of PTA and HINT together showed the strongest contribution to classifying previously defined cognitive trajectory groups (p = 0.022). An XGBoost model with SHapley Additive exPlanations (SHAP) values identified bilaterally combined temporal lobe volume as key MRI feature influencing ACT, whereas cerebellum and fourth ventricle were key MRI features influencing HINT. Interpretation: These findings highlight complex hearing-cognition-brain interactions and support integrating diverse auditory measures into cognitive aging research.

Indexed as

cognitiondeep learninghealthy agingMRIpresbiacusis

Identifiers

PMID42591333
PMCPMC13461709

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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.