SynthesisJournal of Parkinson's disease2020
Quantitative Electroencephalography Characteristics for Parkinson's Disease: A Systematic Review.
Synthesis 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 17 papers.
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17 citing papers in PubMed, 37 citations in OpenAlex.
- Cerebellar Electrical Activity as a Marker for Predicting Brain Health and Disease: A Review.Brain sciences · 2026Review
- Multimodal Electrophysiological Signals for Machine Learning-Aided Parkinson's Disease Diagnosis.Biosensors · 2026Article
- Cortical beta power modulation is asymmetric and reduced during movement execution and inhibition in Parkinson's disease.Neurobiology of disease · 2025Article
- 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
- A Hybrid Convolutional-Transformer Approach for Accurate Electroencephalography (EEG)-Based Parkinson's Disease Detection.Bioengineering (Basel, Switzerland) · 2025Article
- Characterizing the heterogeneity of neurodegenerative diseases through EEG normative modeling.NPJ Parkinson's disease · 2025Article
- Changes in sensorimotor network dynamics in resting-state recordings in Parkinson's disease.Brain communications · 2025Article
- Differentiating neurodegenerative diseases based on EEG complexity.Scientific reports · 2024Article
- Comparison of Brain Activity between Patients with Parkinson Disease Dementia and Patients Affected by Dementia with Lewy Body through EEG Analysis.Iranian journal of psychiatry · 2024Article
- Can electroencephalography (EEG) identify the different dimensions of pain in fibromyalgia? A pilot study.BMC musculoskeletal disorders · 2024Article
- Apathy scores in Parkinson's disease relate to EEG components in an incentivized motor task.Brain communications · 2024Article
- Article
- Classification of Parkinson's disease motor phenotype: a machine learning approach.Journal of neural transmission (Vienna, Austria : 1996) · 2022Article
- Oscillatory waveform sharpness asymmetry changes in motor thalamus and motor cortex in a rat model of Parkinson's disease.Experimental neurology · 2022Article
- Novel approaches for quantifying beta synchrony in Parkinson's disease.Experimental brain research · 2022Review
- The Effects of Non-Invasive Brain Stimulation on Quantitative EEG in Patients With Parkinson's Disease: A Systematic Scoping Review.Frontiers in neurology · 2022Article
- The Effect of Neuroepo on Cognition in Parkinson's Disease Patients Is Mediated by Electroencephalogram Source Activity.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIndividualized treatment guided by biomarkers certainly will play a crucial role in the more effective treatment of various neurological diseases in the near future. Identifying the electroencephalographic biomarkers in the brain of patients with Parkinson's disease (PD) may help in the decision-making process of health professionals regarding the non-invasive brain stimulation (NIBS) protocols.
objectiveTo summarize quantitative electroencephalographic (qEEG) characteristics of patients with PD with motor symptoms at rest or during movement to identify potential biomarker associated with motor impairment in PD.
methodsA systematic search was conducted in the databases MEDLINE/PubMed, LILACS/BIREME, CINAHL/EBSCO, Web of Science, and CENTRAL, performed according to PRISMA-statement guidelines. Two independent authors searched for studies that reported qEEG data related to motor outcomes at rest or during movements in patients with PD and compared the data with control healthy group. The studies' methodological quality was examined using the Cochrane Handbook. Studies/sample characteristics, qEEG parameters/analyses, and the studies' results were summarized. Prospero-register: CRD42018085660.
resultsNineteen studies (18 cross-sectional/one cross-over) with 312 PD patients and 277 controls, published between 1994-2018, were included for the qualitative analysis. In comparison to healthy controls, our findings suggest a slowing down of the cortical activity in patients with PD due to an increase of slower band waves activity and a decrease of fast band waves at resting and during complex movement execution mainly in the central and frontal cortex.
conclusionSlowing down of cortical waves suggest excitatory NIBS for motor impairment in PD. However, qEEG biomarker for motor symptoms of PD cannot be established yet because the studies that related qEEG with motor outcomes presented methodological poor quality.
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