Activation deficit correlates with weakness in chronic stroke: Evidence from evoked and voluntary EMG recordings

  • Sheng Li
  • , Jie Liu
  • , Minal Bhadane
  • , Ping Zhou
  • , W. Zev Rymer

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Abstract

Objective: To use evoked (M-wave) and voluntary (during maximal voluntary contraction (MVC)) EMG recordings to estimate the voluntary activation level in chronic stroke. Methods: Nine chronic hemiparetic stroke subjects participated in the experiment. M-wave (EMGM-wave) and MVC (EMGMVC) EMG values of the biceps brachii muscles were recorded. Results: Peak torque was significantly smaller on the impaired than non-impaired side. EMGM-wave was also significantly smaller on the impaired than non-impaired side. However, the normalized EMGM-wave/TorqueMVC ratio was not significantly different between two sides. In contrast, both absolute EMGMVC and normalized EMGMVC/TorqueMVC were smaller on the impaired than non-impaired side. The voluntary activation level, EMGMVC/M-wave, was also smaller on the impaired than non-impaired side. The voluntary activation level on the impaired side was highly correlated with weakness (R=0.72), but very low (R=0.32) on the non-impaired side. Conclusion: Collectively, our findings suggest that both peripheral and central factors contribute to post-stroke weakness, but activation deficit correlates most closely with weakness as estimated from maximum voluntary torque generation. Significance: These findings serve to highlight the potential benefit from high-intensity exercises to enhance central activation for facilitation of motor recovery.

Original languageEnglish
Pages (from-to)2413-2417
Number of pages5
JournalClinical Neurophysiology
Volume125
Issue number12
DOIs
StatePublished - 2014
Externally publishedYes

Keywords

  • EMG
  • M-wave
  • Stroke
  • Voluntary activation
  • Weakness

Fingerprint

Dive into the research topics of 'Activation deficit correlates with weakness in chronic stroke: Evidence from evoked and voluntary EMG recordings'. Together they form a unique fingerprint.

Cite this