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

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

Spontaneous fluctuations of neuronal activity in large-scale distributed networks are a hallmark of the resting brain. In relapsing-remitting multiple sclerosis (RRMS) several fMRI studies have suggested altered resting-state connectivity patterns. Topographical EEG analysis reveals much faster temp...

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Bibliographic Details
Main Authors: Markus Gschwind, Martin Hardmeier, Dimitri Van De Ville, Miralena I. Tomescu, Iris-Katharina Penner, Yvonne Naegelin, Peter Fuhr, Christoph M. Michel, Margitta Seeck
Format: Article
Language:English
Published: Elsevier 2016-01-01
Series:NeuroImage: Clinical
Subjects:
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
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158216301437

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http://www.sciencedirect.com/science/article/pii/S2213158216301437

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