Evidence map›Paper›PMID 40084045›Full record

ArticleFrontiers in aging neuroscience2025

Impact of hearing loss on brain signal variability in older adults under different auditory load conditions.

Songjian Wang, Tong Liu, Yi Liu, Nuonan Kou, Younuo Chen, Yuan Wang, Wenjian Sun, Shuo Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Songjian WangKey Laboratory of Otolaryngology Head and Neck Surgery, Department of Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Ministry of Education, Beijing Institute of Otolaryngology, Capital Medical University, Beijing, China.
Tong LiuKey Laboratory of Otolaryngology Head and Neck Surgery, Department of Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Ministry of Education, Beijing Institute of Otolaryngology, Capital Medical University, Beijing, China.
Yi LiuKey Laboratory of Otolaryngology Head and Neck Surgery, Department of Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Ministry of Education, Beijing Institute of Otolaryngology, Capital Medical University, Beijing, China.
Nuonan KouKey Laboratory of Otolaryngology Head and Neck Surgery, Department of Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Ministry of Education, Beijing Institute of Otolaryngology, Capital Medical University, Beijing, China.
Younuo ChenKey Laboratory of Otolaryngology Head and Neck Surgery, Department of Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Ministry of Education, Beijing Institute of Otolaryngology, Capital Medical University, Beijing, China.
Yuan WangKey Laboratory of Otolaryngology Head and Neck Surgery, Department of Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Ministry of Education, Beijing Institute of Otolaryngology, Capital Medical University, Beijing, China.
Wenjian SunCollege of Electronic Information Engineering, Yantai University, Yantai, China.
Shuo WangKey Laboratory of Otolaryngology Head and Neck Surgery, Department of Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Ministry of Education, Beijing Institute of Otolaryngology, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The moment-by-moment variability in brain signals, a newly recognized indicator, demonstrates both the adaptability of an individual's brain as a unique trait and the distribution of neural resources within that individual in response to constantly shifting task requirements. This study aimed to explore brain signal variability in older adults using oxyhemoglobin (HbO) variability derived from fNIRS during tasks with increasing signal-to-noise ratio (SNR) loads and to assess the effects of varying degrees of hearing loss on speech recognition performance and related brain signal variability patterns. Methods: Eighty-one participants were categorized into three groups: healthy controls ( Results: Results revealed that the brain signal variability increased with higher SNR loads in healthy older adults, indicating enhanced neural resource allocation with the SNR load. In contrast, we found that hearing loss reduced brain signal variability during speech recognition tasks, especially in noisy conditions, in the mild hearing loss and moderate to severe hearing loss groups, possibly indicating decreased neural processing efficiency. Additionally, a positive correlation between brain signal variability and speech recognition performance was observed in healthy control participants across all SNR conditions, suggesting that brain signal variability could dynamically respond to the precise level of auditory environment demands. However, this relationship was only significant at the 5 dB SNR condition in hearing loss groups. Discussion: Taken together, this study underscores the significant impact of hearing loss on brain signal variability modulation in auditory cognitive tasks and highlights the need for further research to understand the underlying neural mechanisms.

Indexed as

age-related hearing lossbrain signal variabilityneural resource allocationspeech-in-noisespeech perception

Identifiers

PMID40084045
PMCPMC11903437

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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.