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Broadband spatiotemporal parameters, frequency-specific microstate features, nonlinear complexity, symbolic-sequence dynamics, Spike-Wave Index (SWI) correlations, and exploratory classification performance were evaluated. ESES-related alterations were concentrated in microstate B and C, involving prolonged and more variable temporal persistence, altered occurrence frequency, increased global field strength, frequency-sensitive duration changes, and reduced frequency chaos game representation (FCGR) entropy. Markov order features were positively associated with SWI-related electrophysiological burden, suggesting potential severity-related sequence dynamics. A five-feature L2-regularized logistic regression model achieved promising exploratory discrimination, with [Formula: see text] and [Formula: see text]. This study indicated that ESES is associated with more constrained and less flexible microstate dynamics, while a compact, interpretable microstate-derived model achieved promising exploratory discrimination. These findings may provide novel analytical perspectives for deciphering ESES pathophysiology and identifying candidate neurophysiological markers for future assessment.<\/jats:p>","DOI":"10.1142\/s0129065727500122","type":"journal-article","created":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T01:24:46Z","timestamp":1784337886000},"source":"Crossref","is-referenced-by-count":0,"title":["Multidimensional Microstate Alterations and Interpretable Classification of Electrical Status Epilepticus During Sleep Using Multi-Channel EEG"],"prefix":"10.1142","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-2677-9717","authenticated-orcid":false,"given":"Shishi","family":"Tang","sequence":"first","affiliation":[{"name":"Department of Genetics and Biomedical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, No. 74, Zhongshan 2nd Road, Guangzhou, Guangdong 510080, 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