ArticleScientific reports2022
Magnetoencephalography detects phase-amplitude coupling in Parkinson's disease.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Using Magnetoencephalography to Advance the Science of Parkinson Disease: A Systematic Review.Brain and behavior · 2025Pooled it
- Effects of pharmacological modulation of cortical excitability on resting-state EEG PAC in humans.Scientific reports · 2026Article
- Cortical and Corticomuscular Beta-Gamma Phase-Amplitude Coupling During Different Locomotion States and the Effects of Levodopa in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Review
- Dysfunction of motor cortices in Parkinson's disease.Cerebral cortex (New York, N.Y. : 1991) · 2024Review
- Evolutionary origins of synchronization for integrating information in neurons.Frontiers in cellular neuroscience · 2024Review
- Surface-Based Functional Alterations in Early-Onset and Late-Onset Parkinson's Disease: A Multi-Modal MRI Study.Diagnostics (Basel, Switzerland) · 2023Article
- A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications.Brain sciences · 2022Review
- Novel approaches for quantifying beta synchrony in Parkinson's disease.Experimental brain research · 2022Review
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To characterize Parkinson's disease, abnormal phase-amplitude coupling is assessed in the cortico-basal circuit using invasive recordings. It is unknown whether the same phenomenon might be found in regions other than the cortico-basal ganglia circuit. We hypothesized that using magnetoencephalography to assess phase-amplitude coupling in the whole brain can characterize Parkinson's disease. We recorded resting-state magnetoencephalographic signals in patients with Parkinson's disease and in healthy age- and sex-matched participants. We compared whole-brain signals from the two groups, evaluating the power spectra of 3 frequency bands (alpha, 8-12 Hz; beta, 13-25 Hz; gamma, 50-100 Hz) and the coupling between gamma amplitude and alpha or beta phases. Patients with Parkinson's disease showed significant beta-gamma phase-amplitude coupling that was widely distributed in the sensorimotor, occipital, and temporal cortices; healthy participants showed such coupling only in parts of the somatosensory and temporal cortices. Moreover, beta- and gamma-band power differed significantly between participants in the two groups (P < 0.05). Finally, beta-gamma phase-amplitude coupling in the sensorimotor cortices correlated significantly with motor symptoms of Parkinson's disease (P < 0.05); beta- and gamma-band power did not. We thus demonstrated that beta-gamma phase-amplitude coupling in the resting state characterizes Parkinson's disease.
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