ArticleBrain communications2025
Changes in sensorimotor network dynamics in resting-state recordings in Parkinson's disease.
Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Varying patterns of association between cortical large-scale networks and subthalamic nucleus activity in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Effects of Age on Resting-State Cortical Networks.Human brain mapping · 2026Article
- Divergence of cortical neurophysiology across different neurodegenerative disorders compared to healthy ageing.Progress in neurobiology · 2026Article
- Reduced beta bursting underpins loss of corticomuscular coherence in amyotrophic lateral sclerosis.Brain communications · 2025Article
- Canonical Hidden Markov Model Networks for studying M/EEG.Imaging neuroscience (Cambridge, Mass.)Article
- Modelling discrete states and long-term dynamics in functional brain networks.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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 (
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Registered trials
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