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Cross-Dataset Generalization of Quantitative EEG Spectral Biomarkers for Alzheimer’s Disease: A Pre-registered Two-Cohort External Validation and What Does Not Transfer

2026-08-18

Abstract excerpt

<title>Abstract</title> <p>Most machine-learning work on EEG biomarkers for Alzheimer’s disease (AD) is trained and evaluated on a single acquisition setup, which leaves a basic question unanswered: when the equipment or the montage changes, do the markers still hold? We put that question to the test. The features are three, all spectral. Leading the set is the theta/alpha power ratio (TAR), with relative band po...

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Literature Corpus work: 785d08a9-5837-532a-913e-7dc8d12d61a5
DOI: 10.21203/rs.3.rs-10721356/v1

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Cross-Dataset Generalization of Quantitative EEG Spectral Biomarkers for Alzheimer’s Disease: A Pre-registered Two-Cohort External Validation and What Does Not TransferDOI 10.21203/rs.3.rs-10721356/v1Read

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