Related Experiment Video
Updated: Jun 29, 2025
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Analysis of microstate features for Parkinson's disease based on reliability validation
Qingfang Guo1, Shuo Liu1, Lei Wang1
1Hebei Key Laboratory of Bioelectromagnetics and Neural Engineering, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300131, China; State Key Laboratory of Reliable and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China.
Background:
Parkinson's disease (PD) is a disorder with abnormal changes in brain activity. The lack of objective indicators makes the assessment of PD progression difficult. Assessment of brain activity changes in PD may offer a potential solution.
New Method:
Electroencephalogram (EEG) microstates reflect global dynamic changes in the brain. Therefore, we utilized microstates to assess changes in PD brain activity. However, the effect of epoch duration on the reliability of microstate analyses in PD is unclear. Thus, we first assessed the effect of data duration on the reliability of microstate topography and temporal features in PD and older healthy individuals. According to the reliability assessment, EEG epochs with high reliability were selected for microstate analysis in PD. Finally, we investigated the correlation between microstate features and clinical scales to determine whether these features could serve as objective indicators to evaluate PD progression.
Results:
Microstate analysis features that show high reliability for 3 min and above epoch durations. The topology of microstate D was significantly changed in PD compared to healthy controls, as well as the temporal features of microstates C and D. Additionally, the occurrence of C was negatively correlated with MoCA, and the duration of D was positively correlated with UPDRS.
Comparison With Existing Method(S):
High reliability of PD microstate features obtained by our approach.
Conclusion:
EEG for PD microstate analysis should be at least 3 min. Microstate analysis is expected to provide new ideas and objective indicators for assessing Parkinson's disease progression in the clinical setting.
Insights
Electroencephalogram (EEG) microstate analysis reliably detects Parkinson's disease (PD) brain changes using 3-minute epochs. These microstate features offer objective indicators for assessing PD progression, correlating with clinical scales.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Clinical Neurology
Background:
- Parkinson's disease (PD) is characterized by abnormal brain activity, but objective indicators for progression are lacking.
- Assessing brain activity changes presents a potential avenue for monitoring PD.
- Current methods for evaluating PD progression lack objective biomarkers.
Purpose of the Study:
- To determine the optimal epoch duration for reliable electroencephalogram (EEG) microstate analysis in PD.
- To investigate alterations in EEG microstate features in PD patients.
- To explore the correlation between microstate features and clinical assessments of PD severity.
Main Methods:
- Assessed the reliability of EEG microstate topography and temporal features across different epoch durations in PD and healthy controls.
- Selected reliable EEG epochs (≥3 minutes) for microstate analysis.
- Correlated identified microstate features with clinical scales (MoCA, UPDRS).
Main Results:
- EEG microstate analysis demonstrated high reliability for epoch durations of 3 minutes and above.
- Significant differences in microstate D topology and microstates C and D temporal features were observed in PD patients compared to controls.
- Microstate C occurrence correlated negatively with MoCA scores, and microstate D duration correlated positively with UPDRS scores.
Conclusions:
- A minimum EEG epoch duration of 3 minutes is recommended for reliable microstate analysis in PD.
- EEG microstate analysis provides a reliable method for detecting PD-related brain activity changes.
- Microstate features show potential as objective indicators for evaluating Parkinson's disease progression in clinical settings.
More Related Videos
07:26Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking
Published on: September 26, 2019
10:32Assessment of Sensorimotor Function in Mouse Models of Parkinson's Disease
Published on: June 17, 2013
Related Concept Videos
01:15Parkinson's Disease: Overview
01:37Neural Regulation
01:24Parkinson's Disease: Treatment
Parkinson's Disease is primarily a result of the loss of dopaminergic neurons in the substantia nigra pars compacta. The cornerstone of...