Resting State Changes in Functional Connectivity Correlate With Movement Recovery for BCI and Robot-Assisted Upper-Extremity Training After Stroke

  title={Resting State Changes in Functional Connectivity Correlate With Movement Recovery for BCI and Robot-Assisted Upper-Extremity Training After Stroke},
  author={B{\'a}lint V{\'a}rkuti and Cuntai Guan and Yaozhang Pan and Kok Soon Phua and Kai Keng Ang and Christopher Wee Keong Kuah and Karen Sui-Geok Chua and Beng Ti Ang and Niels Birbaumer and Ranganatha Sitaram},
  journal={Neurorehabilitation and Neural Repair},
  pages={53 - 62}
Background. Robot-assisted training may improve motor function in some hemiparetic patients after stroke, but no physiological predictor of rehabilitation progress is reliable. Resting state functional magnetic resonance imaging (RS-fMRI) may serve as a method to assess and predict changes in the motor network. Objective. The authors examined the effects of upper-extremity robot-assisted rehabilitation (MANUS) versus an electroencephalography-based brain computer interface setup with motor… 

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