Research On Multimodal Neuromuscular Functional Coupling Analysis Method For Stroke

Reasonable and effective assessment of motor function after stroke is of great significance for rehabilitation strategies.However,the widely accepted assessment technique for the clinic mainly focused on the subjective and qualitative evaluation of the observation indicators from the rehabilitation physicians.However,it is lacking of effective analysis and quantitative evaluation of multimodal EMG-EEG information interaction and motor mechanism in the motor control system.For this,the aim of this study is to explore the method of multimodal neuro-muscular coupling(MNMC)analysis based on EEG and EMG signals from the perspective of multimodal neuromuscular function coupling.We established the multimodal coupling characteristic indicators,including corticocortical coupling(CCC),intermuscular coupling(IMC)and corticomuscular coupling(CMC),and explored the potential mechanism of multimodal neuromuscular coupling after stroke and the pathological mechanism of motor dysfunction.Furthermore,we analyzed the relationship between the multimodal coupling indexes and clinical scale.This research could play an important role for motor function assessment.Firstly,to explore the abnormal information transformation in frequency-band domain among brain regions,muscles and neuromuscular coupling,we introduced coherence method to compare the frequency-band characteristics between stroke patients and healthy controls in CCC,IMC and CMC,respectively.To obtain the linear synchronization index in motor system,we investigated the multimodal frequency-band coupling in the motor system under specific tasks for stroke.This research could provide a theoretical basis for motor function assessment after stroke.Secondly,to explore the abnormal transformation in time-frequency domain among brain regions,muscles and neuromuscular coupling,we used the wavelet time-frequency coherence method by combining wavelet transform and frequency domain coherence method.To obtain the nonlinear synchronization index,we compared and analyzed the difference of time-frequency coupling in three levels.Our study could expand the exploration of the nonlinear time-frequency coherence in motor system.The study aimed at investigate the multi-mode time-frequency coupling oscillation mechanism,and provided new theoretical support for in-depth exploration of the motor function assessment after stroke.Thirdly,to explore the abnormal transformation in time-varying domain between brain regions,muscles and neuromuscular coupling in motor system,we also proposed a time-varying coherence method by combining the discrete orthogonal oblate spheroid sequence window function and the coherence method.This model can obtain the non-linear dynamic coupling index for stroke patients at different frequency bands and time,and expanded the research on the dynamic evolution in motor control system.This study provides feasibility for time-varying coupling mechanism and rehabilitation evaluation for stroke.Lastly,to verify the clinical applicability of the constructed multi-level coupling indicators,we analyzed the relationship between the coupling indicators and the Shang Tian Min,and screened the indicators that can be used for clinical rehabilitation assistance evaluation.Furthermore,we explored the correlations among CCC,IMC,and CMC,and exploring the mechanism of multimodal neuro-muscular coupling in stroke.This study could contribute to excavate the mechanism of motor function after stroke.