Journal
GEROSCIENCE
Volume 44, Issue 3, Pages 1599-1607Publisher
SPRINGER
DOI: 10.1007/s11357-022-00552-0
Keywords
EEG;Parkinson; Approximate entropy; Complexity
Categories
Funding
- Italian Ministry of Health for Institutional Research (Ricerca corrente)
- Toto Holding
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The objective of this study was to explore the differences in brain resting state between Parkinson's disease patients and healthy controls in terms of complexity of EEG signals. The results showed that Parkinson's disease patients had higher complexity in their EEG signals, indicating a remarkable modification of brain complexity and organization. Applying nonlinear approaches to EEG analysis could potentially be a useful tool in diagnosing and monitoring the progression of Parkinson's disease, as well as designing personalized rehabilitation programs.
The objective of the present study is to explore the brain resting state differences between Parkinson's disease (PD) patients and age- and gender-matched healthy controls (elderly) in terms of complexity of electroencephalographic (EEG) signals. One non-linear approach to determine the complexity of EEG is the entropy. In this pilot study, 28 resting state EEGs were analyzed from 13 PD patients and 15 elderly subjects, applying approximate entropy (ApEn) analysis to EEGs in ten regions of interest (ROIs), five for each brain hemisphere (frontal, central, parietal, occipital, temporal). Results showed that PD patients presented statistically higher ApEn values than elderly confirming the hypothesis that PD is characterized by a remarkable modification of brain complexity and globally modifies the underlying organization of the brain. The higher-than-normal entropy of PD patients may describe a condition of low order and consequently low information flow due to an alteration of cortical functioning and processing of information. Understanding the dynamics of brain applying ApEn could be a useful tool to help in diagnosis, follow the progression of Parkinson's disease, and set up personalized rehabilitation programs.
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