基于脑机接口探究卒中患者二便运动任务的脑电特征OA

Objective This study explores the electroencephalographic(EEG)characteristics of stroke patients during urination and defecation motor tasks using brain-computer interface(BCI)technology.By elucidating the central neural mechanisms underlying the control of excretion,this research aims to construct a BCI paradigm for urination and defecation motor tasks suitable for stroke patients,and to provide novel insights for the rehabilitation of post-stroke patients suffering from urination and defecation dysfunction. Methods Stroke patients admitted to the Huashan Hospital,Fudan University,and the Shandong Provincial Third Hospital between September 2024 and April 2025 were enrolled.All patients were instructed to perform urination and defecation motor tasks,while their EEG features were recorded.By analyzing electroencephalography brain maps,time-frequency plots,and event-related spectral perturbation values,this study elucidates the temporal characteristics of EEG signals during the initiation and maintenance of these motor tasks,as well as the differences in frequency characteristics within the α(8-13 Hz),β1(＞13-20 Hz),and β2(＞20-30 Hz)frequency bands. Results A total of 14 stroke patients were enrolled in this study,comprising five females and nine males,with a mean age of(52.7±14.4)years.Electroencephalography brain maps analysis revealed that both urination/defecation retention and voiding tasks induced significant event-related desynchronization(ERD).These responses exhibited distinct spatiotemporal and spectral characteristics across the α,β1,and β2 frequency bands.Specifically,the task initiation phase(0-2 s)elicited widespread activation across all frequency bands,whereas the task maintenance phase(＞2-5 s)was predominantly concentrated in the α frequency band.Furthermore,the frontal cortex demonstrated sustained engagement in the β2 frequency band during the inhibitory control of urination and defecation. Conclusions This study elucidates the staged dynamic neural mechanisms underlying urination and defecation motor control.It reveals that,upon the initiation of urination and defecation motor tasks,stroke patients exhibit ERD bursts within the α,β1,and β2 frequency bands.These findings provide a significant theoretical foundation for the design and application of BCI systems.