Machine learning based on event-related oscillations of working memory differentiates between preclinical Alzheimer’s disease and normal aging

EEG ERO may reveal pathophysiological differences in the earliest stage of AD when no cognitive impairments are apparent.

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Publication Details

Journal
Clinical Neurophysiology
Published
2024-11-24
DOI
https://doi.org/10.1016/j.clinph.2024.11.013
Citations
4
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
1.37
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article

Machine learning based on event-related oscillations of working memory differentiates between preclinical Alzheimer’s disease and normal aging

William M. Brooks, Laura E. Martin, Hannes Devos, Ke Liao et al.
4 citations
Clinical Neurophysiology
Functional Brain Connectivity Studies
1.37
article

Machine learning based on event-related oscillations of working memory differentiates between preclinical Alzheimer’s disease and normal aging

William M. Brooks, Laura E. Martin, Hannes Devos, Ke Liao, Jeffrey Murray Burns, Sodiq Fakorede
article en
4 citations

Abstract

EEG ERO may reveal pathophysiological differences in the earliest stage of AD when no cognitive impairments are apparent.

Clinical NeurophysiologyVol. 170
University of Kansas Medical Center (US)
Openalex Percentile: Top 19%
Functional Brain Connectivity Studies
1.37
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