Changes in sensorimotor network dynamics in resting-state recordings in Parkinson's disease.

ABSTRACT: Non-invasive recordings of magnetoencephalography have been used for developing biomarkers for neural changes associated with Parkinson's disease that can be measured across the entire course of the disease. These studies, however, have yielded inconsistent findings. Here, we investigated whether analysing motor cortical activity within the context of large-scale brain network activity provides a more sensitive marker of changes in Parkinson's disease using magnetoencephalography. We extracted motor cortical beta power and beta bursts from resting-state magnetoencephalography scans of patients with Parkinson's disease (N = 28) and well-matched healthy controls (N = 36). To situate beta bursts in their brain network contexts, we used a time-delay-embedded hidden Markov model t

SUBMITTER: Kohl O 

PROVIDER: S-EPMC12318717 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature