ArticleNPJ Parkinson's disease2024
Oscillatory and non-oscillatory features of the magnetoencephalic sensorimotor rhythm in Parkinson's disease.
Article in NPJ Parkinson's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- A Systematic Review of Aperiodic Neural Activity in Clinical Investigations.The European journal of neuroscience · 2025Pooled it
- Using Magnetoencephalography to Advance the Science of Parkinson Disease: A Systematic Review.Brain and behavior · 2025Pooled it
- Normative modeling of MEG brain oscillations across the human lifespan.Communications biology · 2026Article
- Magnetoencephalography-based prediction of longitudinal symptom progression in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- A meta-analysis of periodic and aperiodic electrophysiological features in Parkinson's disease.Brain communications · 2026Review
- Cortical Effects of Dopamine Replacement Account for Clinical Response Variability in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Article
- Dysfunction of motor cortices in Parkinson's disease.Cerebral cortex (New York, N.Y. : 1991) · 2024Review
- Coordinated reset stimulation of plastic neural networks with spatially dependent synaptic connections.Frontiers in network physiology · 2024Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 7 countries.
Funding
Abstract
Parkinson's disease (PD) is associated with changes in neural activity in the sensorimotor alpha and beta bands. Using magnetoencephalography (MEG), we investigated the role of spontaneous neuronal activity within the somatosensory cortex in a large cohort of early- to mid-stage PD patients (N = 78) on Parkinsonian medication and age- and sex-matched healthy controls (N = 60) using source reconstructed resting-state MEG. We quantified features of the time series data in terms of oscillatory alpha power and central alpha frequency, beta power and central beta frequency, and 1/f broadband characteristics using power spectral density. Furthermore, we characterised transient oscillatory burst events in the mu-beta band time-domain signals. We examined the relationship between these signal features and the patients' disease state, symptom severity, age, sex, and cortical thickness. PD patients and healthy controls differed on PSD broadband characteristics, with PD patients showing a steeper 1/f exponential slope and higher 1/f offset. PD patients further showed a steeper age-related decrease in the burst rate. Out of all the signal features of the sensorimotor activity, the burst rate was associated with increased severity of bradykinesia, whereas the burst duration was associated with axial symptoms. Our study shows that general non-oscillatory features (broadband 1/f exponent and offset) of the sensorimotor signals are related to disease state and oscillatory burst rate scales with symptom severity in PD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.