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

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...

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Publicado en:Frontiers in Aging Neuroscience pp. 1 - 11
Autores principales: Chen, Yurun, Liu, Qiaoyu, Chen, Yaohan, Zhu, Min, Qiao, Yufei, Chen, Jiaran, Sun, Wen, Yang, Hua, Shang, Yingying
Formato: research tables/charts Journal Article
Publicado: Frontiers Media S.A. 2026
Acceso en línea:Ver este registro en EBSCOhost
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      jtl: Frontiers in Aging Neuroscience
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      dt: 2026
      pid: 40038
      pub: Frontiers Media S.A.
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        10.3389/fnagi.2026.1850657
        196246491
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        atl: Resting-state EEG microstate dynamics indicate altered brain network temporal organization in age-related hearing loss.
      aug:
        au:
          Chen, Yurun
          Liu, Qiaoyu
          Chen, Yaohan
          Zhu, Min
          Qiao, Yufei
          Chen, Jiaran
          Sun, Wen
          Yang, Hua
          Shang, Yingying
        affil: Department of Otorhinolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
      sug:
        subj:
          Presbycusis Pathology
          Electroencephalography
          Large-Scale Brain Networks
          Audiometry, Pure-Tone
          Human
          China
          Funding Source
          Severity of Illness
          Male
          Female
          Middle Age
          Aged
          Auditory Threshold
          Speech Perception
          Chi Square Test
          Unpaired T-Tests
          Data Analysis Software
          Descriptive Statistics
          Middle Aged: 45-64 years
          Aged: 65+ years
          Male
          Female
      ab: 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 p < 0.05, FDR-adjusted q ≥ 0.05). In addition, the ARHL group showed significantly (FDR-adjusted q < 0.05) increased transition probabilities (TPs) from C to F and from F to C. Conversely, the TP from D to G was significantly reduced, whereas the TP from G to D showed a reduction at the nominal significance level. Across all participants, after controlling for age and sex, microstate G time coverage and TP from D to G were negatively correlated with PTA thresholds, whereas the TPs from C to F and from F to C were positively correlated with PTA thresholds. Furthermore, microstate G time coverage showed a nominal negative correlation with the SIN threshold. 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.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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