Difference between eyes-open and eyes-closed resting state quantitative electroencephalography (qEEG) for predicting cognitive impairment using deep learning

The findings suggest that using the difference between EOR and ECR qEEG states could be a practical approach to detect cognitive impairment in dementia research with DL. The trained models may serve as a supportive reference for clinicians in the future, not as a diagnostic tool, but as a decision-support system for early diagnosis of cognitive impairment.

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Publication Details

Journal
Applied Neuropsychology Adult
Published
2025-06-27
DOI
https://doi.org/10.1080/23279095.2025.2520476
Citations
4
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
5.72
Controls
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article

Difference between eyes-open and eyes-closed resting state quantitative electroencephalography (qEEG) for predicting cognitive impairment using deep learning

Young Chul Youn, Chanda Simfukwe, Seong Soo An
4 citations
Applied Neuropsychology Adult
EEG and Brain-Computer Interfaces
5.72
article

Difference between eyes-open and eyes-closed resting state quantitative electroencephalography (qEEG) for predicting cognitive impairment using deep learning

Young Chul Youn, Chanda Simfukwe, Seong Soo An
article en
4 citations

Abstract

The findings suggest that using the difference between EOR and ECR qEEG states could be a practical approach to detect cognitive impairment in dementia research with DL. The trained models may serve as a supportive reference for clinicians in the future, not as a diagnostic tool, but as a decision-support system for early diagnosis of cognitive impairment.

Applied Neuropsychology Adult
Gachon University (KR), Chung-Ang University (KR)
Reduced inequalities
Openalex Percentile: Top 4%
EEG and Brain-Computer Interfaces
5.72
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