Complexity Analysis of Resting-State MEG Activity in Early-Stage Parkinson's Disease Patients.

Gómez, C
Olde Dubbelink, KT
Stam, CJ
Abásolo, D
Berendse, HW
Hornero, R

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Publication date

October 2017

DOI

10.1007/s10439-011-0416-0

Publisher

Springer Science and Business Media LLC

Journal

Annals of Biomedical Engineering

Abstract

The aim of the present study was to analyze resting-state brain activity in patients with Parkinson's disease (PD), a degenerative disorder of the nervous system. Magnetoencephalography (MEG) signals were recorded with a 151-channel whole-head radial gradiometer MEG system in 18 early-stage untreated PD patients and 20 age-matched control subjects. Artifact-free epochs of 4 s (1250 samples) were analyzed with Lempel-Ziv complexity (LZC), applying two- and three-symbol sequence conversion methods. The results showed that MEG signals from PD patients are less complex than control subjects' recordings. We found significant group differences (p-values <0.01) for the 10 major cortical areas analyzed (e.g., bilateral frontal, central, temporal, p...