Quantitative Electroencephalography Characteristics for Parkinson's Disease: A Systematic Review
Lívia Shirahige1,2, Marina Berenguer-Rocha1, Sarah Mendonça2
1Applied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, Recife, Pernambuco, Brazil.
Journal of Parkinson'S Disease
|February 18, 2020
Summary
Quantitative electroencephalography (qEEG) in Parkinson's disease (PD) shows slower brain waves, suggesting potential for non-invasive brain stimulation. However, more research is needed to establish reliable qEEG biomarkers for motor symptoms.
Area of Science:
- Neuroscience
- Biomarker Discovery
- Neurological Disorders
Background:
- Individualized treatment for neurological diseases relies on biomarkers.
- Electroencephalographic biomarkers in Parkinson's disease (PD) can aid non-invasive brain stimulation (NIBS) decisions.
Purpose of the Study:
- To summarize quantitative electroencephalographic (qEEG) characteristics in PD patients.
- To identify potential qEEG biomarkers associated with motor impairment in PD at rest and during movement.
Main Methods:
- Systematic literature search following PRISMA guidelines across multiple databases.
- Included 19 studies comparing qEEG data of 312 PD patients with 277 healthy controls.
- Assessed methodological quality using the Cochrane Handbook.
Main Results:
- PD patients exhibited slower cortical activity compared to controls.
- Increased slow-wave activity and decreased fast-wave activity were observed in PD patients.
- These changes were prominent in central and frontal cortex during rest and movement.
Conclusions:
- Slower cortical waves suggest excitatory NIBS may benefit PD motor impairment.
- Reliable qEEG biomarkers for PD motor symptoms are not yet established due to poor study quality.
- Further high-quality research is required to validate qEEG biomarkers.
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