Are the EEG microstates correlated with motor and non-motor parameters in patients with Parkinson's disease?

• Published in: Neurophysiologie clinique Vol. 53; no. 1; p. 102839
• Main Authors: Costa, Thaísa Dias de Carvalho, Machado, Camila Beatriz da Silva, Lemos Segundo, Robson Prazeres, Silva, Joyce Poláine dos Santos, Silva, Ana Catarine Tavares, Andrade, Rafael de Souza, Rosa, Marine Raquel Diniz, Smaili, Suhaila Mahmoud, Morya, Edgard, Costa-Ribeiro, Adriana, Lindquist, Ana Raquel Rodrigues, Andrade, Suellen Marinho, Machado, Daniel Gomes da Silva
• Format: Journal Article
• Language: English
• Published: France Elsevier Masson SAS 01-02-2023
• Subjects: Biomarkers; Brain waves; Diagnostic techniques; Neurodegenerative disease; Parkinsonian disorders; Diagnostic techniques; Biomarkers; Neurodegenerative disease; Parkinsonian disorders; Brain waves
• ISSN: 0987-7053; 1769-7131
• DOI: 10.1016/j.neucli.2022.102839

This study compared electroencephalography microstates (EEG-MS) of patients with Parkinson's disease (PD) to healthy controls and correlated EEG-MS with motor and non-motor aspects of PD.
This cross-sectional exploratory study was conducted with patients with PD (n = 10) and healthy controls (n = 10) matched by sex and age. We recorded EEG-MS using 32 channels during eyes‐closed and eyes‐open conditions and analyzed the four classic EEG-MS maps (A, B, C, D). Clinical information (e.g., disease duration, medications, levodopa equivalent daily dose), motor (Movement Disorder Society - Unified Parkinson Disease Rating Scale II and III, Timed Up and Go simple and dual-task, and Mini-Balance Evaluation Systems Test) and non-motor aspects (Mini-Mental State Exam [MMSE], verbal fluency, Hospital Anxiety and Depression Scale, and Parkinson's Disease Questionnaire-39 [PDQ-39]) were assessed in the PD group. Mann-Whitney U test was used to compare groups, and Spearman's correlation coefficient to analyze the correlations between coverage of EEG-MS and clinical aspects of PD.
The PD group showed a shorter duration of EEG-MS C in the eyes-closed condition than the control group. We observed correlations (rho = 0.64 to 0.82) between EEG-MS B, C, and D and non-motor aspects of PD (MMSE, verbal fluency, PDQ-39, and levodopa equivalent daily dose).
Alterations in EEG-MS and correlations between topographies and cognitive aspects, quality of life, and medication dose indicate that EEG could be used as a PD biomarker. Future studies should investigate these associations using a longitudinal design.