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Full-Text Articles in Nervous System Diseases
A Single-Center, Assessor-Blinded, Randomized Controlled Clinical Trial To Test The Safety And Efficacy Of A Novel Brain-Computer Interface Controlled Functional Electrical Stimulation (Bci-Fes) Intervention For Gait Rehabilitation In The Chronic Stroke Population, Piyashi Biswas, Lucy Dodakian, Po T. Wang, Christopher A. Johnson, Jill See, Vicky Chan, Cathy Chou, Wendy Lazouras, Alison L. Mckenzie, David J. Reinkensmeyer, Danh V. Nguyen, Steven C. Cramer, An H. Do, Zoran Nenadic
A Single-Center, Assessor-Blinded, Randomized Controlled Clinical Trial To Test The Safety And Efficacy Of A Novel Brain-Computer Interface Controlled Functional Electrical Stimulation (Bci-Fes) Intervention For Gait Rehabilitation In The Chronic Stroke Population, Piyashi Biswas, Lucy Dodakian, Po T. Wang, Christopher A. Johnson, Jill See, Vicky Chan, Cathy Chou, Wendy Lazouras, Alison L. Mckenzie, David J. Reinkensmeyer, Danh V. Nguyen, Steven C. Cramer, An H. Do, Zoran Nenadic
Physical Therapy Faculty Articles and Research
Background
In the United States, there are over seven million stroke survivors, with many facing gait impairments due to foot drop. This restricts their community ambulation and hinders functional independence, leading to several long-term health complications. Despite the best available physical therapy, gait function is incompletely recovered, and this occurs mainly during the acute phase post-stroke. Therapeutic options are limited currently. Novel therapies based on neurobiological principles have the potential to lead to long-term functional improvements. The Brain-Computer Interface (BCI) controlled Functional Electrical Stimulation (FES) system is one such strategy. It is based on Hebbian principles and has shown promise …
Predicting Gains With Visuospatial Training After Stroke Using An Eeg Measure Of Frontoparietal Circuit Function, Robert J. Zhou, Hossein M. Hondori, Maryam Khademi, Jessica M. Cassidy, Katherine M. Wu, Derek Z. Yang, Nikhita Kathuria, Fareshte R. Erani, Lucy Dodakian, Alison Mckenzie, Cristina V. Lopes, Walt Scacchi, Ramesh Srinivasan, Steven C. Cramer
Predicting Gains With Visuospatial Training After Stroke Using An Eeg Measure Of Frontoparietal Circuit Function, Robert J. Zhou, Hossein M. Hondori, Maryam Khademi, Jessica M. Cassidy, Katherine M. Wu, Derek Z. Yang, Nikhita Kathuria, Fareshte R. Erani, Lucy Dodakian, Alison Mckenzie, Cristina V. Lopes, Walt Scacchi, Ramesh Srinivasan, Steven C. Cramer
Physical Therapy Faculty Articles and Research
The heterogeneity of stroke prompts the need for predictors of individual treatment response to rehabilitation therapies. We previously studied healthy subjects with EEG and identified a frontoparietal circuit in which activity predicted training-related gains in visuomotor tracking. Here we asked whether activity in this same frontoparietal circuit also predicts training-related gains in visuomotor tracking in patients with chronic hemiparetic stroke. Subjects (n = 12) underwent dense-array EEG recording at rest, then received 8 sessions of visuomotor tracking training delivered via home-based telehealth methods. Subjects showed significant training-related gains in the primary behavioral endpoint, Success Rate score on a standardized test …