Article

Generalizability of EEG-Based Dementia Classifiers: A Multicenter study of Alzheimer’s, MCI, And FTD

2026-07-29

Abstract excerpt

EEG-based machine learning shows promise for neurodegenerative disease classification, but robustness to sample imbalance, center heterogeneity, and validation leakage remains a key concern for clinical translation. We developed a new framework to assess diagnostic performance, calibration, and cross-center generalizability of EEG multifeatured classifiers across CN (cognitively normal), MCI (mild cognitive impair...

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Literature Corpus work: 901e5cb3-35b8-5caa-98c9-ad4a342e79bb
DOI: 10.64898/2026.07.28.26359133

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