A power‐sensitive approach to preserving regional specificity in EEG signal preprocessing: with applications to localized brain activity analysis for NC and MCI

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_104104
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

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article

A power‐sensitive approach to preserving regional specificity in EEG signal preprocessing: with applications to localized brain activity analysis for NC and MCI

Ming Gu, Tongtong Li, Boxin Sun, Tim Martin et al.
Alzheimer s & Dementia
EEG and Brain-Computer Interfaces
article

A power‐sensitive approach to preserving regional specificity in EEG signal preprocessing: with applications to localized brain activity analysis for NC and MCI

Ming Gu, Tongtong Li, Boxin Sun, Tim Martin, Voyko Kavcic, Bruno Giordani
article en

Abstract

No abstract available for this paper.
Alzheimer s & DementiaVol. 21(S2)
Kennesaw State University (US), Wayne State University (US), University of Michigan (US), Michigan State University (US)
National Science Foundation, National Institutes of Health
Reduced inequalities
Openalex Percentile: Top 33%
EEG and Brain-Computer Interfaces
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