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Brain-Computer Interface Training after Stroke Affects Patterns of Brain-Behavior Relationships in Corticospinal Motor Fibers.
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- Frontiers in Human Neuroscience, 2016, p. 1, doi. 10.3389/fnhum.2016.00457
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- Article
Machine Learning Classification to Identify the Stage of Brain-Computer Interface Therapy for Stroke Rehabilitation Using Functional Connectivity.
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- Frontiers in Neuroscience, 2018, p. 1, doi. 10.3389/fnins.2018.00353
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- Article
Ipsilesional Mu Rhythm Desynchronization and Changes in Motor Behavior Following Post Stroke BCI Intervention for Motor Rehabilitation.
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- Frontiers in Neuroscience, 2019, p. N.PAG, doi. 10.3389/fnins.2019.00053
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- Article
Evaluation of Changes in the Motor Network Following BCI Therapy Based on Graph Theory Analysis.
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- Frontiers in Neuroscience, 2018, p. N.PAG, doi. 10.3389/fnins.2018.00861
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- Article
Behavioral Outcomes Following Brain–Computer Interface Intervention for Upper Extremity Rehabilitation in Stroke: A Randomized Controlled Trial.
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- Frontiers in Neuroscience, 2018, p. N.PAG, doi. 10.3389/fnins.2018.00752
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- Article
Early Findings on Functional Connectivity Correlates of Behavioral Outcomes of Brain-Computer Interface Stroke Rehabilitation Using Machine Learning.
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- Frontiers in Neuroscience, 2018, p. N.PAG, doi. 10.3389/fnins.2018.00624
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- Article
Ipsilesional Mu Rhythm Desynchronization Correlates With Improvements in Affected Hand Grip Strength and Functional Connectivity in Sensorimotor Cortices Following BCI-FES Intervention for Upper Extremity in Stroke Survivors.
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- Frontiers in Human Neuroscience, 2021, v. 15, p. 1, doi. 10.3389/fnhum.2021.725645
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- Article
BCI-FES With Multimodal Feedback for Motor Recovery Poststroke.
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- Frontiers in Human Neuroscience, 2022, v. 16, p. 1, doi. 10.3389/fnhum.2022.725715
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- Article