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Journal ArticleDOI

A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke.

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TLDR
BCI-Manus therapy is effective and safe for arm rehabilitation after severe poststroke hemiparesis and the correlation of rBSI with motor improvements suggests that the rBSi can be used as a prognostic measure for BCI-based stroke rehabilitation.
Abstract
Electroencephalography (EEG)-based motor imagery (MI) brain-computer interface (BCI) technology has the potential to restore motor function by inducing activity-dependent brain plasticity. The purpose of this study was to investigate the efficacy of an EEG-based MI BCI system coupled with MIT-Manus shoulder-elbow robotic feedback (BCI-Manus) for subjects with chronic stroke with upper-limb hemiparesis. In this single-blind, randomized trial, 26 hemiplegic subjects (Fugl-Meyer Assessment of Motor Recovery After Stroke [FMMA] score, 4-40; 16 men; mean age, 51.4 years; mean stroke duration, 297.4 days), prescreened with the ability to use the MI BCI, were randomly allocated to BCI-Manus or Manus therapy, lasting 18 hours over 4 weeks. Efficacy was measured using upper-extremity FMMA scores at weeks 0, 2, 4 and 12. ElEG data from subjects allocated to BCI-Manus were quantified using the revised brain symmetry index (rBSI) and analyzed for correlation with the improvements in FMMA score. Eleven and 15 subjects underwent BCI-Manus and Manus therapy, respectively. One subject in the Manus group dropped out. Mean total FMMA scores at weeks 0, 2, 4, and 12 weeks improved for both groups: 26.3±10.3, 27.4±12.0, 30.8±13.8, and 31.5±13.5 for BCI-Manus and 26.6±18.9, 29.9±20.6, 32.9±21.4, and 33.9±20.2 for Manus, with no intergroup differences (P=.51). More subjects attained further gains in FMMA scores at week 12 from BCI-Manus (7 of 11 [63.6%]) than Manus (5 of 14 [35.7%]). A negative correlation was found between the rBSI and FMMA score improvement (P=.044). BCI-Manus therapy was well tolerated and not associated with adverse events. In conclusion, BCI-Manus therapy is effective and safe for arm rehabilitation after severe poststroke hemiparesis. Motor gains were comparable to those attained with intensive robotic therapy (1,040 repetitions/session) despite reduced arm exercise repetitions using EEG-based MI-triggered robotic feedback (136 repetitions/session). The correlation of rBSI with motor improvements suggests that the rBSI can be used as a prognostic measure for BCI-based stroke rehabilitation.

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Journal ArticleDOI

Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation

TL;DR: Brain-machine interfaces research has been at the forefront of many neurophysiological discoveries, including the demonstration that, through continuous use, artificial tools can be assimilated by the primate brain's body schema.
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A review of feature selection methods in medical applications.

TL;DR: The most recent feature selection methods developed for and applied in medical problems are reviewed, covering prolific research fields such as medical imaging, biomedical signal processing, and DNA microarray data analysis.
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Novel Stroke Therapeutics: Unraveling Stroke Pathophysiology and Its Impact on Clinical Treatments.

TL;DR: This review highlights several important mechanisms of stroke injury and describes emerging therapies aimed at improving clinical outcomes.
Journal ArticleDOI

EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges.

TL;DR: In this article, state-of-the-art signal processing techniques for MI EEG-based BCIs, with a particular focus on the feature extraction, feature selection and classification techniques used.
Journal ArticleDOI

Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis

TL;DR: Motor improvements, mostly quantified by the upper limb Fugl‐Meyer Assessment (FMA‐UE), exceeded the minimal clinically important difference in six BCI studies, while such improvement was reached only in three control groups, suggesting that BCI technology could be an effective intervention for post‐stroke upper limb rehabilitation.
References
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Journal ArticleDOI

Interrater Reliability of a Modified Ashworth Scale of Muscle Spasticity

TL;DR: The relationship between the raters' judgments was significant and the reliability was good, and it is believed these results to be positive enough to encourage further trials of the modified Ashworth scale for grading spasticity.
Journal Article

The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance.

TL;DR: The findings in this study substantiate the validity of ontogenetic principles as applicable to the assessment of motor behaviour in hemiplegic patients, and foocus the importance of early therapeutic measures against contractures.
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Neuronal ensemble control of prosthetic devices by a human with tetraplegia

TL;DR: Initial results for a tetraplegic human using a pilot NMP suggest that NMPs based upon intracortical neuronal ensemble spiking activity could provide a valuable new neurotechnology to restore independence for humans with paralysis.
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Optimal spatial filtering of single trial EEG during imagined hand movement

TL;DR: It is demonstrated that spatial filters for multichannel EEG effectively extract discriminatory information from two populations of single-trial EEG, recorded during left- and right-hand movement imagery.
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Motor recovery after stroke: a systematic review

TL;DR: Although the existing evidence is limited by poor trial designs, some treatments do show promise for improving motor recovery, particularly those that have focused on high-intensity and repetitive task-specific practice.
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