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Editorial

BCI-FES: could a new rehabilitation device hold fresh promise for stroke patients?

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Joseph B. Humphries, Daniela J. S. Mattos, Jerrel Rutlin, Andy G. S. Daniel, Kathleen Rybczynski, Theresa Notestine, Joshua S. Shimony, Harold Burton, Alexandre Carter & Eric C. Leuthardt. (2022) Motor Network Reorganization Induced in Chronic Stroke Patients with the Use of a Contralesionally-Controlled Brain Computer Interface. Brain-Computer Interfaces 9:3, pages 179-192.
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Ana G. Ramirez-Nava, Jorge A. Mercado-Gutierrez, Jimena Quinzaños-Fresnedo, Cinthya Toledo-Peral, Gabriel Vega-Martinez, Mario Ibrahin Gutierrez, María del Refugio Pacheco-Gallegos, Claudia Hernández-Arenas & Josefina Gutiérrez-Martínez. (2023) Functional electrical stimulation therapy controlled by a P300-based brain–computer interface, as a therapeutic alternative for upper limb motor function recovery in chronic post-stroke patients. A non-randomized pilot study. Frontiers in Neurology 14.
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Haoyang Li, Hongfei Ji, Jian Yu, Jie Li, Lingjing Jin, Lingyu Liu, Zhongfei Bai & Chen Ye. (2023) A sequential learning model with GNN for EEG-EMG-based stroke rehabilitation BCI. Frontiers in Neuroscience 17.
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Enrico Zero, Alessandro Bozzi, Simone Graffione & Roberto Sacile. 2023. Advances in System-Integrated Intelligence. Advances in System-Integrated Intelligence 425 436 .
Alexander B. Remsik, Peter L. E. van Kan, Shawna Gloe, Klevest Gjini, Leroy WilliamsJr.Jr., Veena Nair, Kristin Caldera, Justin C. Williams & Vivek Prabhakaran. (2022) BCI-FES With Multimodal Feedback for Motor Recovery Poststroke. Frontiers in Human Neuroscience 16.
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Qiang Lin, Yanni Zhang, Yajie Zhang, Wanqi Zhuang, Biyi Zhao, Xiaomin Ke, Tingting Peng, Tingting You, Yongchun Jiang, Anniwaer Yilifate, Wei Huang, Lingying Hou, Yaoyao You, Yaping Huai, Yaxian Qiu, Yuxin Zheng & Haining Ou. (2022) The Frequency Effect of the Motor Imagery Brain Computer Interface Training on Cortical Response in Healthy Subjects: A Randomized Clinical Trial of Functional Near-Infrared Spectroscopy Study. Frontiers in Neuroscience 16.
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Alexander B. Remsik, Klevest Gjini, Leroy WilliamsJr.Jr., Peter L. E. van Kan, Shawna Gloe, Erik Bjorklund, Cameron A. Rivera, Sophia Romero, Brittany M. Young, Veena A. Nair, Kristin E. Caldera, Justin C. Williams & Vivek Prabhakaran. (2021) 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. Frontiers in Human Neuroscience 15.
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Long Chen, Bin Gu, Zhongpeng Wang, Lei Zhang, Minpeng Xu, Shuang Liu, Feng He & Dong Ming. (2021) EEG-controlled functional electrical stimulation rehabilitation for chronic stroke: system design and clinical application. Frontiers of Medicine 15:5, pages 740-749.
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Ming-Ai Li, Wei-Min Peng & Jin-Fu Yang. (2021) Key Band Image Sequences and A Hybrid Deep Neural Network for Recognition of Motor Imagery EEG. IEEE Access 9, pages 86994-87006.
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Yongtai Zhou, Rui Ouyang & Xiaopei Wu. (2020) MI-EEG Temporal Information Learning Based on One-Dimensional Convolutional Neural Network. MI-EEG Temporal Information Learning Based on One-Dimensional Convolutional Neural Network.
Alexander B. Remsik, Leroy WilliamsJr.Jr., Klevest Gjini, Keith Dodd, Jaclyn Thoma, Tyler Jacobson, Matt Walczak, Matthew McMillan, Shruti Rajan, Brittany M. Young, Zack Nigogosyan, Hemali Advani, Rosaleena Mohanty, Neelima Tellapragada, Janerra Allen, Mohsen Mazrooyisebdani, Leo M. Walton, Peter L. E. van Kan, Theresa J. Kang, Justin A. Sattin, Veena A. Nair, Dorothy Farrar Edwards, Justin C. Williams & Vivek Prabhakaran. (2019) Ipsilesional Mu Rhythm Desynchronization and Changes in Motor Behavior Following Post Stroke BCI Intervention for Motor Rehabilitation. Frontiers in Neuroscience 13.
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Ciaran McGeady, Aleksandra Vuckovic & Sadasivan Puthusserypady. (2019) A Hybrid MI-SSVEP based Brain Computer Interface for Potential Upper Limb Neurorehabilitation: A Pilot Study. A Hybrid MI-SSVEP based Brain Computer Interface for Potential Upper Limb Neurorehabilitation: A Pilot Study.
Hauke Dose, Jakob S. Møller, Helle K. Iversen & Sadasivan Puthusserypady. (2018) An end-to-end deep learning approach to MI-EEG signal classification for BCIs. Expert Systems with Applications 114, pages 532-542.
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Danut C. Irimia, Rupert Ortner, Marian S. Poboroniuc, Bogdan E. Ignat & Christoph Guger. (2018) High Classification Accuracy of a Motor Imagery Based Brain-Computer Interface for Stroke Rehabilitation Training. Frontiers in Robotics and AI 5.
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Mohsen Mazrooyisebdani, Veena A. Nair, Po-Ling Loh, Alexander B. Remsik, Brittany M. Young, Brittany S. Moreno, Keith C. Dodd, Theresa J. Kang, Justin C. William & Vivek Prabhakaran. (2018) Evaluation of Changes in the Motor Network Following BCI Therapy Based on Graph Theory Analysis. Frontiers in Neuroscience 12.
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Alexander B. Remsik, Keith Dodd, Leroy WilliamsJr.Jr., Jaclyn Thoma, Tyler Jacobson, Janerra D. Allen, Hemali Advani, Rosaleena Mohanty, Matt McMillan, Shruti Rajan, Matt Walczak, Brittany M. Young, Zack Nigogosyan, Cameron A. Rivera, Mohsen Mazrooyisebdani, Neelima Tellapragada, Leo M. Walton, Klevest Gjini, Peter L.E. van Kan, Theresa J. Kang, Justin A. Sattin, Veena A. Nair, Dorothy Farrar Edwards, Justin C. Williams & Vivek Prabhakaran. (2018) Behavioral Outcomes Following Brain–Computer Interface Intervention for Upper Extremity Rehabilitation in Stroke: A Randomized Controlled Trial. Frontiers in Neuroscience 12.
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G. E. Ivanova, Yu. V. Bushkova, A. Yu. Suvorov, L. V. Stahovskaya, I. Z. Dzhalagoniya, N. A. Varako, M. S. Kovyazina & F. A. Bushkov. (2018) Use of a BCI-Exoskeleton Simulator with Multichannel Biofeedback in a Multidisciplinary Rehabilitation Program in Poststroke Patients. Neuroscience and Behavioral Physiology 48:9, pages 1100-1105.
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Rosaleena Mohanty, Anita M. Sinha, Alexander B. Remsik, Keith C. Dodd, Brittany M. Young, Tyler Jacobson, Matthew McMillan, Jaclyn Thoma, Hemali Advani, Veena A. Nair, Theresa J. Kang, Kristin Caldera, Dorothy F. Edwards, Justin C. Williams & Vivek Prabhakaran. (2018) Early Findings on Functional Connectivity Correlates of Behavioral Outcomes of Brain-Computer Interface Stroke Rehabilitation Using Machine Learning. Frontiers in Neuroscience 12.
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Hauke Dose, Jakob S. Moller, Sadasivan Puthusserypady & Helle K. Iversen. (2018) A Deep Learning MI - EEG Classification Model for BCIs. A Deep Learning MI - EEG Classification Model for BCIs.
Xin Zhang, Xinyi Yong & Carlo Menon. (2017) Evaluating the versatility of EEG models generated from motor imagery tasks: An exploratory investigation on upper-limb elbow-centered motor imagery tasks. PLOS ONE 12:11, pages e0188293.
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Keith C. Dodd, Veena A. Nair & Vivek Prabhakaran. (2017) Role of the Contralesional vs. Ipsilesional Hemisphere in Stroke Recovery. Frontiers in Human Neuroscience 11.
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Brittany M. Young, Julie M. Stamm, Jie Song, Alexander B. Remsik, Veena A. Nair, Mitchell E. Tyler, Dorothy F. Edwards, Kristin Caldera, Justin A. Sattin, Justin C. Williams & Vivek Prabhakaran. (2016) Brain?Computer Interface Training after Stroke Affects Patterns of Brain?Behavior Relationships in Corticospinal Motor Fibers. Frontiers in Human Neuroscience 10.
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Lorraine Perronnet, Anatole Lécuyer, Fabien Lotte, Maureen Clerc & Christian Barillot. 2016. Brain–Computer Interfaces 1. Brain–Computer Interfaces 1 271 292 .

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