ArticleJournal of Parkinson's disease2020
Neurophysiological Biomarkers of Parkinson's Disease.
Article in Journal of Parkinson's disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
44 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.
- Evaluation of α-synuclein in CNS-originating extracellular vesicles for Parkinsonian disorders: A systematic review and meta-analysis.CNS neuroscience & therapeutics · 2023Pooled it
- Clinical Effect on Cortical Reactivity of Theta Burst Versus High-Frequency Repetitive Transcranial Magnetic Stimulation in Parkinson's Disease: A TMS-EEG Study.CNS neuroscience & therapeutics · 2025Trial
- Fixed-Sequence OFF-to-ON Differences in Low-Beta State Dynamics in Parkinson's Disease: A Paired Source-Space Resting-State EEG Study.Brain topography · 2026Article
- Cerebellar Electrical Activity as a Marker for Predicting Brain Health and Disease: A Review.Brain sciences · 2026Review
- Parkinson's disease severity is encoded by non-linear oscillatory interactions across cortical-subcortical networks.Scientific reports · 2026Article
- Correlation between brain symmetry index and motor function in Parkinson's disease: a cross-sectional study.Frontiers in neuroscience · 2026Article
- Roles of Glia in Synapse Nano-organization.Advances in neurobiology · 2026Review
- EEG functional connectivity for Parkinson's disease diagnosis and non-motor symptom prediction: a machine learning approach.Frontiers in human neuroscience · 2026Article
- The use of electroencephalography in neurodegenerative disease and its utility in dementia.NPJ dementia · 2026Review
- Advances in ocular motor and pupil biomarkers for neurological disorders.Brain communications · 2026Review
- Personal and Family Perspectives Regarding Neurodegenerative Disorder Risk.Journal of community medicine & public health · 2026Article
- Dynamic Assessment of Fine Motor Control and Vocalization in Parkinson Disease Through a Smartphone App: Cross-Sectional Study of Time-Severity Interaction Effects.JMIR mHealth and uHealth · 2025Article
- Brain-Computer Interfaces in Parkinson's Disease Rehabilitation.Biomimetics (Basel, Switzerland) · 2025Review
- Resting-State EEG Alpha Asymmetry as a Potential Marker of Clinical Features in Parkinson's Disease.Journal of personalized medicine · 2025Article
- Independent component analysis of oddball EEG recordings to detect Parkinson's disease.Scientific reports · 2025Article
- Negative emotion modulates postural tremor variability in Parkinson's disease: A multimodal EEG and motion sensor study toward behavioral interventions.IBRO neuroscience reports · 2025Article
- Significance of gender, brain region and EEG band complexity analysis for Parkinson's disease classification using recurrence plots and machine learning algorithms.Physical and engineering sciences in medicine · 2025Article
- Review
- Cortical Single-Cell Primers of Abnormal Brain Activity in Parkinson's Disease.Research (Washington, D.C.) · 2025Article
- Case Report: Practical approach to differentiating juvenile parkinsonism of genetic cause and drug-induced parkinsonism in adolescents: a case series and literature review.Frontiers in genetics · 2025Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThere is a need for reliable and robust Parkinson's disease biomarkers that reflect severity and are sensitive to disease modifying investigational therapeutics.
objectiveTo demonstrate the utility of EEG as a reliable, quantitative biomarker with potential as a pharmacodynamic endpoint for use in clinical assessments of neuroprotective therapeutics for Parkison's disease.
methodsA multi modal study was performed including aquisition of resting state EEG data and dopamine transporter PET imaging from Parkinson's disease patients off medication and compared against age-matched controls.
resultsQualitative and test/retest analysis of the EEG data demonstrated the reliability of the methods. Source localization using low resolution brain electromagnetic tomography identified significant differences in Parkinson's patients versus control subjects in the anterior cingulate and temporal lobe, areas with established association to Parkinson's disease pathology. Changes in cortico-cortical and cortico-thalamic coupling were observed as excessive EEG beta coherence in Parkinson's disease patients, and correlated with UPDRS scores and dopamine transporter activity, supporting the potential for cortical EEG coherence to serve as a reliable measure of disease severity. Using machine learning approaches, an EEG discriminant function analysis classifier was identified that parallels the loss of dopamine synapses as measured by dopamine transporter PET.
conclusionOur results support the utility of EEG in characterizing alterations in neurophysiological oscillatory activity associated with Parkinson's disease and highlight potential as a reliable method for monitoring disease progression and as a pharmacodynamic endpoint for Parkinson's disease modification therapy.
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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.