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Dataset Information

Resting-state MEG measurement of functional activation as a biomarker for cognitive decline in MS.


ABSTRACT:

Background

Neurophysiological measures of brain function, such as magnetoencephalography (MEG), are widely used in clinical neurology and have strong relations with cognitive impairment and dementia but are still underdeveloped in multiple sclerosis (MS).

Objectives

To demonstrate the value of clinically applicable MEG-measures in evaluating cognitive impairment in MS.

Methods

In eyes-closed resting-state, MEG data of 83 MS patients and 34 healthy controls (HCs) peak frequencies and relative power of six canonical frequency bands for 78 cortical and 10 deep gray matter (DGM) areas were calculated. Linear regression models, correcting for age, gender, and education, assessed the relation between cognitive performance and MEG biomarkers.

Results

Increased alpha1

SUBMITTER: Schoonhoven DN 

PROVIDER: S-EPMC6875827 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature