- EEG microstate analysis captures rapid temporal dynamics of brain networks and can yield candidate neurophysiological markers for autism spectrum disorder (ASD).1
- Interpretable classification frameworks for ASD can use multidomain microstate-informed features that integrate temporal dynamics from EEG.1
- Explainable AI applied to microstate-derived features can uncover novel candidate biomarkers linked to atypical connectivity and cognitive flexibility in ASD.1 1