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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Dettagli Bibliografici

Autori principali:	Markus Gschwind, Martin Hardmeier, Dimitri Van De Ville, Miralena I. Tomescu, Iris-Katharina Penner, Yvonne Naegelin, Peter Fuhr, Christoph M. Michel, Margitta Seeck
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2016-01-01
Serie:	NeuroImage: Clinical
Soggetti:	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
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2213158216301437
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