Multi-scale feature analysis of neuromuscular function coupling after stroke and its clinical application
Objective To preliminarily analyze the multi-scale characteristics of neuromuscular functional coupling(FCMC)in stroke patients and to investigate its role in motor function assessment.Methods We selected healthy individuals(n=8,healthy control group)and post-stroke patients(n=8,stroke group)with right upper limb hemiplegia who were hospitalized in the Department of Neurosurgery of the First Medical Centre of People's Liberation Army(PLA)General Hospital from January 2018 to March 2018 as the research subjects.The patients were subjected to a right upper limb constant grip strength test,and the synchronously acquired multichannel electroencephalography and electromyography signals were analyzed by complex multiscale coherence(CMSC)analysis.Significant area metrics were calculated at 20-time scales using the consistency significance threshold calculation method.Differences in significant area metrics between the stroke group and healthy control group were compared using a two-way repeated measures analysis of variance(ANOVA).Pearson's correlation analysis was used to verify the correlation between the multiscale FCMC significant area metrics and the Ueda min grade of the right upper limb in patients in the stroke group.Results In comparison with the healthy control group,the stroke group exhibited predominantly lower CMSC values across different scales and frequency ranges,and high CMSC values were mostly found in the high-frequency band(45-60 Hz).Among the healthy control group,6 out of 8 subjects had higher CMSC values around scale 10 in the low-frequency range(＜1 Hz),whereas 5 out of 8 patients in the stroke group had lower CMSC values.Two-factor repeated-measures analysis of variance showed statistically significant differences in significant areas between the stroke group and healthy controls(Fbetweengroups=14.20,Pbetween groups=0.007;Ftime scale=14.35,Ptime scale＜0.001;Finteraction=13.29,Pinteraction＜0.001).Signifiicant areas on scales 9,10,11,and 12 were lower in the stroke group compared with healthy controls(all P＜0.05).Pearson's correlation analysis showed that significant area metrics in the stroke group were positively correlated with the Ueda Min scale grade at scales 9(r=0.74,P=0.032),10(r=0.62,P=0.021),and 12(r=0.71,P=0.030),respectively.Conclusions Preliminary analyses indicate that the multi-scale FCMC phenomenon exists after stroke,and the scale characteristics are altered compared with those of healthy individuals.The scale-specific FCMC characteristic indicators can be used to clinically assess the motor status of stroke patients.
StrokeNeuromuscular monitoringNeurophysiological monitoringComposite multiscale coherenceSignificant area index
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