Bipolar Filters Improve Usability of Brain-Computer Interface Technology in Post-stroke Motor Rehabilitation

2018 ◽  
pp. 911-914 ◽  
Author(s):  
Emma Colamarino ◽  
Floriana Pichiorri ◽  
Donatella Mattia ◽  
Febo Cincotti
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Motor Rehabilitation ◽  
Post Stroke

Brain-Computer Interface for Motor Rehabilitation

2019 ◽  
pp. 243-254
Author(s):  
Elizabeth Clark ◽  
Adrienne Czaplewski ◽  
Sean Dourney ◽  
Ashley Gadelha ◽  
Khoa Nguyen ◽  
...  
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Motor Rehabilitation

A Brain-Computer Interface For Motor Rehabilitation Of Chronic Stroke Patients

2018 ◽  
Vol 99 (10) ◽  
pp. e36
Author(s):  
Christoph Guger ◽  
Brendan Allison ◽  
Slav H. Dimov ◽  
Edlinger Guenter ◽  
Fan Cao
Keyword(s):  
Brain Computer Interface ◽  
Chronic Stroke ◽  
Computer Interface ◽  
Motor Rehabilitation ◽  
Stroke Patients

scholarly journals Brain Computer Interface Treatment for Motor Rehabilitation of Upper Extremity of Stroke Patients—A Feasibility Study

2020 ◽  
Vol 14 ◽  
Author(s):  
Marc Sebastián-Romagosa ◽  
Woosang Cho ◽  
Rupert Ortner ◽  
Nensi Murovec ◽  
Tim Von Oertzen ◽  
...  
Keyword(s):  
Upper Extremity ◽  
Feasibility Study ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Motor Rehabilitation ◽  
Stroke Patients ◽  
Interface Treatment

scholarly journals Brain Functional Changes in Stroke Following Rehabilitation Using Brain-Computer Interface-Assisted Motor Imagery With and Without tDCS: A Pilot Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Mengjiao Hu ◽  
Hsiao-Ju Cheng ◽  
Fang Ji ◽  
Joanna Su Xian Chong ◽  
Zhongkang Lu ◽  
...  
Keyword(s):  
Motor Function ◽  
Motor Imagery ◽  
Brain Computer Interface ◽  
Low Frequency ◽  
Computer Interface ◽  
Stroke Patients ◽  
Post Intervention ◽  
Functional Changes ◽  
Post Stroke ◽  
Assessment Scores

Brain-computer interface-assisted motor imagery (MI-BCI) or transcranial direct current stimulation (tDCS) has been proven effective in post-stroke motor function enhancement, yet whether the combination of MI-BCI and tDCS may further benefit the rehabilitation of motor functions remains unknown. This study investigated brain functional activity and connectivity changes after a 2 week MI-BCI and tDCS combined intervention in 19 chronic subcortical stroke patients. Patients were randomized into MI-BCI with tDCS group and MI-BCI only group who underwent 10 sessions of 20 min real or sham tDCS followed by 1 h MI-BCI training with robotic feedback. We derived amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and functional connectivity (FC) from resting-state functional magnetic resonance imaging (fMRI) data pre- and post-intervention. At baseline, stroke patients had lower ALFF in the ipsilesional somatomotor network (SMN), lower ReHo in the contralesional insula, and higher ALFF/Reho in the bilateral posterior default mode network (DMN) compared to age-matched healthy controls. After the intervention, the MI-BCI only group showed increased ALFF in contralesional SMN and decreased ALFF/Reho in the posterior DMN. In contrast, no post-intervention changes were detected in the MI-BCI + tDCS group. Furthermore, higher increases in ALFF/ReHo/FC measures were related to better motor function recovery (measured by the Fugl-Meyer Assessment scores) in the MI-BCI group while the opposite association was detected in the MI-BCI + tDCS group. Taken together, our findings suggest that brain functional re-normalization and network-specific compensation were found in the MI-BCI only group but not in the MI-BCI + tDCS group although both groups gained significant motor function improvement post-intervention with no group difference. MI-BCI and tDCS may exert differential or even opposing impact on brain functional reorganization during post-stroke motor rehabilitation; therefore, the integration of the two strategies requires further refinement to improve efficacy and effectiveness.

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