Key result
Specific EEG patterns during motor imagery and attempts correlate with post-stroke upper-limb motor dysfunction.
Observational (n=28)
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Motor attempt (MA)/motor imagery (MI)-based brain–computer interface (BCI) is a newly developing rehabilitation technology for motor impairment. This study aims to explore the relationship between electroencephalography sensorimotor rhythm and motor impairment to provide reference for a BCI design. Twenty-eight stroke survivors with varying levels of motor dysfunction and spasticity status in the subacute or chronic stage were enrolled in the study to perform MA and MI tasks. Event-related desynchronization (ERD)/event-related synchronization (ERS) during and immediately after motor tasks were calculated. The Fugl–Meyer assessment scale (FMA) and the modified Ashworth scale (MAS) were applied to characterize upper-limb motor dysfunction and spasticity. There was a positive correlation between FMA total scores and ERS in the contralesional hemisphere in the MI task ( P < .05) and negative correlations between FMA total scores and ERD in both hemispheres in the MA task ( P < .05). Negative correlations were found between MAS scores of wrist flexors and ERD in the ipsilesional hemisphere ( P < .05) in the MA task. It suggests that motor dysfunction may be more correlated to ERS in the MI task and to ERD in the MA task while spasticity may be more correlated to ERD in the MA task.
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Chen et al. (2021) conducted an observational in Stroke (n=28). Motor attempt (MA) and motor imagery (MI) tasks was evaluated on Correlation between Fugl-Meyer assessment scale (FMA) / modified Ashworth scale (MAS) and EEG event-related desynchronization (ERD) / synchronization (ERS) (p=<.05). Event-related synchronization during motor imagery and desynchronization during motor attempt correlated with upper-limb motor dysfunction and spasticity in stroke survivors.
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