Fluctuations of spontaneous EEG topographies predict disease state in relapsing-remitting multiple sclerosis

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• 作者：Markus Gschwind^a ; ^b ; ^{markus.gschwind@gmail.ch} ; Martin Hardmeier^c ; Dimitri Van De Ville^d ; ^e ; ^g ; Miralena I. Tomescu^b ; Iris-Katharina Penner^f ; Yvonne Naegelin^c ; Peter Fuhr^c ; Christoph M. Michel^b ; ^g ; Margitta Seeck^a ; ^b
• 关键词：High-density EEG ; Topographical EEG analysis ; Microstates ; Disease duration ; Annual relapse rate ; Fatigue Scale for Motor and Cognitive Functions ; Center for Epidemiologic Studies Depression Scale ; Expanded Disability Status Scale
• 刊名：NeuroImage: Clinical
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：12
• 期：Complete
• 页码：466-477
• 全文大小：1352 K
• 卷排序：12

文摘

EEG microstates analyses provide high resolution of temporal dynamics of brain networks. Temporal parameters of EEG microstates are altered in Multiple Sclerosis Altered microstate parameters predict several clinical characteristics in patients We propose an EEG microstate based marker to characterize disease evolution in patients