Evidence map›Paper›PMID 42609411›Full record

ArticleFrontiers in aging neuroscience2026

Resting-state EEG microstate dynamics indicate altered brain network temporal organization in age-related hearing loss.

Yurun Chen, Qiaoyu Liu, Yaohan Chen, Min Zhu, Yufei Qiao, Jiaran Chen, Wen Sun, Hua Yang, Yingying Shang

Abstract read
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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.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yurun Chen *Department of Otorhinolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Qiaoyu Liu *Department of Otorhinolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yaohan ChenDepartment of Otorhinolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Min ZhuDepartment of Otorhinolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yufei QiaoDepartment of Otorhinolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jiaran ChenDepartment of Otorhinolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Wen SunDepartment of Otorhinolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Hua YangDepartment of Otorhinolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yingying ShangDepartment of Otorhinolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Age-related hearing loss (ARHL) is increasingly recognized as a condition that involves changes in the central nervous system beyond the auditory pathway, with growing evidence showing altered large-scale brain network connectivity. However, how ARHL reshapes the temporal organization of large-scale brain networks remains poorly understood. This study aimed to investigate whether ARHL is associated with alterations in resting-state electroencephalogram (EEG) microstate dynamics and to examine the relationship between microstate features and auditory function. Methods: Resting-state EEGs were recorded in 45 older adults with ARHL and 50 age-matched normal-hearing (NH) controls. Microstate analysis was performed using a seven-class model. Group differences in microstate parameters were assessed. Correlation analyses were conducted to examine associations between microstate metrics and audiological measures, including pure-tone audiometry (PTA) thresholds and speech-in-noise (SIN) perception. Results: Compared with NH controls, participants with ARHL exhibited reduced microstate G time coverage at the nominal significance level (uncorrected Conclusion: ARHL is associated with altered resting-state EEG microstate dynamics, mainly reflected by changes in TPs among sensorimotor and higher-order cognitive networks. Resting-state EEG microstate analysis provides a comprehensive and systematic framework for studying brain network temporal reorganization induced by auditory decline.

Indexed as

age-related hearing lossbrain networkelectroencephalogrammicrostateresting-state

Identifiers

PMID42609411
PMCPMC13478220

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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.