Taiyuan Normal University

Expanding resting-state EEG A/B/C/D microstate sequences into static, directed-transition, flow and complexity features separated Parkinson's disease from controls within a development cohort at ROC-AUC 0.823, but locked testing on an independent OpenNeuro cohort fell to 0.513, near chance. In that same feature space, a classifier predicting dataset origin reached ROC-AUC 0.966, showing the two cohorts' feature distributions differ sharply. The study therefore evaluates within-cohort discrimination and cross-cohort transportability separately, and argues for explicit distribution-shift checks before microstate features are treated as reproducible electrophysiological markers.

Expanding resting-state EEG A/B/C/D microstate sequences into static, directed-transition, flow and complexity features separated Parkinson's disease from controls within a development cohort at ROC-AUC 0.823, but locked testing on an independent OpenNeuro cohort fell to 0.513, near chance. In that same feature space, a classifier predicting dataset origin reached ROC-AUC 0.966, showing the two cohorts' feature distributions differ sharply. The study therefore evaluates within-cohort discrimination and cross-cohort transportability separately, and argues for explicit distribution-shift checks before microstate features are treated as reproducible electrophysiological markers.