SynthesisFrontiers in aging neuroscience2020
Characterization of EEG Data Revealing Relationships With Cognitive and Motor Symptoms in Parkinson's Disease: A Systematic Review.
Synthesis in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Combined Use of EMG and EEG Techniques for Neuromotor Assessment in Rehabilitative Applications: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Trial
- Assessment of balance, sleep quality, and depression in relation to attention in Parkinson's disease: A cross-sectional P300 study.Sao Paulo medical journal = Revista paulista de medicina · 2026Trial
- Trial
- Preprocessing on the Go: Practices in Gait-Related Mobile EEG.Psychophysiology · 2026Review
- Data-driven subtyping of early Parkinson's disease via mutual cross-attention fusion of EEG and dual-task gait features.NPJ Parkinson's disease · 2026Article
- Correlation between brain symmetry index and motor function in Parkinson's disease: a cross-sectional study.Frontiers in neuroscience · 2026Article
- The use of electroencephalography in neurodegenerative disease and its utility in dementia.NPJ dementia · 2026Review
- The phase average wavelength of alpha rhythm in EEG signals of patients with Parkinson's disease combined with cognitive impairment.PloS one · 2026Article
- Neural correlates of prospective memory in Parkinson's disease: a high-density EEG study.Frontiers in aging neuroscience · 2026Article
- Independent component analysis of oddball EEG recordings to detect Parkinson's disease.Scientific reports · 2025Article
- Test-retest reliability of kinematic and EEG low-beta spectral features in a robot-based arm movement task.Biomedical physics & engineering express · 2025Article
- Article
- Linear predictive coding electroencephalography algorithms predict mortality in Parkinson's disease.Clinical parkinsonism & related disorders · 2025Article
- Beta oscillation modulations of the orienting attention network effect correlate with dopamine-dependent motor symptoms of Parkinson's disease.Brain structure & function · 2024Article
- Slowing of Parameterized Resting-State Electroencephalography After Mild Traumatic Brain Injury.Neurotrauma reports · 2024Article
- Apathy scores in Parkinson's disease relate to EEG components in an incentivized motor task.Brain communications · 2024Article
- Rib detection using pitch-catch ultrasound and classification algorithms for a novel ultrasound therapy device.Bioelectronic medicine · 2023Article
- Article
- A Narrative Review on Multi-Domain Instrumental Approaches to Evaluate Neuromotor Function in Rehabilitation.Healthcare (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent research regards the electroencephalogram (EEG) as a promising method to study real-time brain dynamic changes in patients with Parkinson's disease (PD), but a deeper understanding is needed to discern coincident pathophysiology, patterns of changes, and diagnosis. This review summarized recent research on EEG characterization related to the cognitive and motor functions in PD patients and discussed its potential to be used as diagnostic biomarkers. Thirty papers out of 220 published from 2010 to 2020 were reviewed. Movement abnormalities and cognitive decline are related to changes in EEG spectrum and event-related potentials (ERPs) during typical oddball paradigms and/or combined motor tasks. Abnormalities in β and δ frequency bands are, respectively the main manifestation of dyskinesia and cognitive decline in PD. The review showed that PD patients have noteworthy changes in specific EEG characterizations, however, the underlying mechanism of the interrelation between gait and cognitive is still unclear. Understanding the specific nature of the relationship is essential for development of novel invasive clinical diagnostic and therapeutic methods.
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