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Altered Resting-State Electroencephalogram Microstate Characteristics in Stroke Patients

Authors :
Hao-Yu Lu
Zhen-Zhen Ma
Jun-Peng Zhang
Jia-Jia Wu
Mou-Xiong Zheng
Xu-Yun Hua
Jian-Guang Xu
Source :
Journal of Integrative Neuroscience, Vol 23, Iss 9, p 176 (2024)
Publication Year :
2024
Publisher :
IMR Press, 2024.

Abstract

Background: Stroke remains a leading cause of disability globally and movement impairment is the most common complication in stroke patients. Resting-state electroencephalography (EEG) microstate analysis is a non-invasive approach of whole-brain imaging based on the spatiotemporal pattern of the entire cerebral cortex. The present study aims to investigate microstate alterations in stroke patients. Methods: Resting-state EEG data collected from 24 stroke patients and 19 healthy controls matched by age and gender were subjected to microstate analysis. For four classic microstates labeled as class A, B, C and D, their temporal characteristics (duration, occurrence and coverage) and transition probabilities (TP) were extracted and compared between the two groups. Furthermore, we explored their correlations with clinical outcomes including the Fugl-Meyer assessment (FMA) and the action research arm test (ARAT) scores in stroke patients. Finally, we analyzed the relationship between the temporal characteristics and spectral power in frequency bands. False discovery rate (FDR) method was applied for correction of multiple comparisons. Results: Microstate analysis revealed that the stroke group had lower occurrence of microstate A which was regarded as the sensorimotor network (SMN) compared with the control group (p = 0.003, adjusted p = 0.036, t = –2.959). The TP from microstate A to microstate D had a significant positive correlation with the Fugl-Meyer assessment of lower extremity (FMA-LE) scores (p = 0.049, r = 0.406), but this finding did not survive FDR adjustment (adjusted p = 0.432). Additionally, the occurrence and the coverage of microstate B were negatively correlated with the power of delta band in the stroke group, which did not pass adjustment (p = 0.033, adjusted p = 0.790, r = –0.436; p = 0.026, adjusted p = 0.790, r = –0.454, respectively). Conclusions: Our results confirm the abnormal temporal dynamics of brain activity in stroke patients. The study provides further electrophysiological evidence for understanding the mechanism of brain motor functional reorganization after stroke.

Details

Language :
English
ISSN :
02196352
Volume :
23
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Journal of Integrative Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.11c204a5e718446ab645290cf373ad55
Document Type :
article
Full Text :
https://doi.org/10.31083/j.jin2309176