Evidence map›Paper›PMID 41019669›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Can auditory processing dysfunction indicate early cognitive decline?

Xinrong Ma, Jiayu Li, Ying Wang, Shiyuan Li, Junjie Guo, Wenxin Shen, Xiao Yu, Hongyu Dong, Shujian Huang, Linpeng Li and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Can auditory processing dysfunction indicate early cognitive decline?Alzheimer's & dementia (Amsterdam, Netherlands)
    Article
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

13 authors.

Xinrong MaDepartment of Otolaryngology-Head and Neck Surgery Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai China.
Jiayu LiDepartment of Otolaryngology-Head and Neck Surgery Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai China.
Ying WangDepartment of Otolaryngology-Head and Neck Surgery Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai China.
Shiyuan LiDepartment of Otolaryngology-Head and Neck Surgery Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai China.
Junjie GuoDepartment of Otolaryngology-Head and Neck Surgery Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai China.
Wenxin ShenDepartment of Otolaryngology-Head and Neck Surgery Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai China.
Xiao YuDepartment of Otolaryngology-Head and Neck Surgery Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai China.
Hongyu DongDepartment of Otolaryngology-Head and Neck Surgery Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai China.
Shujian HuangDepartment of Otolaryngology-Head and Neck Surgery Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai China.
Linpeng LiDepartment of Otolaryngology-Head and Neck Surgery Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai China.
Jian WangSchool of Communication Sciences and Disorders Dalhousie University Halifax Nova Scotia Canada.
Shankai YinDepartment of Otolaryngology-Head and Neck Surgery Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai China.
Hui WangDepartment of Otolaryngology-Head and Neck Surgery Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCentral auditory processing (CAP) is crucial for speech perception and is also fundamental for cognitive function. This study investigated whether gap detection threshold (GDT) could serve as an early marker for identifying individuals with cognitive impairment (CI) at high risk of dementia.

methodsSixty-four older adults underwent peripheral auditory, cognitive, and CAP assessments. Machine learning and resting state electroencephalography (EEG)/event-related potential (ERP) analyses explored predictors and neural correlates of CI.

resultsGDT was significantly higher in those with CI (mean ± standard deviation: 8.25 ± 6.14 versus 5.98 ± 3.44 ms, respectively, DISCUSSION: GDT may reflect early neurophysiological changes in individuals with CI and has potential as a non-invasive biomarker. Highlights: Central auditory processing (CAP) test scores were found to be significantly correlated with cognitive tests.By machine learning, the best variable gap detection threshold (GDT) for predicting cognitive impairment was screened out.GDT subgroup analysis was performed within the normal control (NC) group. Compared to the low GDT subgroup, the high GDT subgroup had lower amplitudes of the cognitive components of the event-related potential and many differences in functional connectivity, indicating that GDT has predictive value for changes in cognitive function.

Indexed as

central auditory processingcognitive impairmentelectroencephalogramgap detection threshold

Identifiers

PMID41019669
PMCPMC12464561

What OpenQuestion holds

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Registered trials

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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.