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Physiotherapy Theory and Practice

An International Journal of Physical Therapy

Volume 38, 2022 - Issue 9

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Action observation training and brain-computer interface controlled functional electrical stimulation enhance upper extremity performance and cortical activation in patients with stroke: a randomized controlled trial

Su-Hyun LeeDepartment of Physical Therapy, Sahmyook University, Seoul, KoreaView further author information

, MSc, PT,

Seong Sik KimDepartment of Physical Therapy, Sahmyook University, Seoul, KoreaView further author information

, PhD, PT &

Byoung-Hee LeeDepartment of Physical Therapy, Sahmyook University, Seoul, KoreaCorrespondence[email protected]
View further author information

, PT, PhD

Pages 1126-1134 | Received 18 Jun 2019, Accepted 19 Aug 2020, Published online: 07 Oct 2020

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https://doi.org/10.1080/09593985.2020.1831114
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Hongyun Huang, John R. Bach, Hari Shanker Sharma, Hooshang Saberi, Sang Ryong Jeon, Xiaoling Guo, Ashok Shetty, Ziad Hawamdeh, Alok Sharma, Klaus von Wild, Dario Siniscalco, Paul R. Sanberg, Yong Hu, Mengzhou Xue, Lin Chen, Fabin Han, Ali Otom, Jianzhong Hu & Qiqing Zhang. (2023) The 2022 yearbook of neurorestoratology. Journal of Neurorestoratology 11:2, pages 100054.
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Yu Zhu, Chen Wang, Jin Li, Liqing Zeng & Peizhen Zhang. (2023) Effect of different modalities of artificial intelligence rehabilitation techniques on patients with upper limb dysfunction after stroke—A network meta-analysis of randomized controlled trials. Frontiers in Neurology 14.
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Xiaolu Liu, Wendong Zhang, Weibo Li, Shaohua Zhang, Peiyuan Lv & Yu Yin. (2023) Effects of motor imagery based brain-computer interface on upper limb function and attention in stroke patients with hemiplegia: a randomized controlled trial. BMC Neurology 23:1.
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Anas R. Alashram, Elvira Padua & Giuseppe Annino. (2022) Effects of Brain-Computer Interface Controlled Functional Electrical Stimulation on Motor Recovery in Stroke Survivors: a Systematic Review. Current Physical Medicine and Rehabilitation Reports 10:4, pages 299-310.
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Yu-lei Xie, Yu-xuan Yang, Hong Jiang, Xing-Yu Duan, Li-jing Gu, Wu Qing, Bo Zhang & Yin-xu Wang. (2022) Brain-machine interface-based training for improving upper extremity function after stroke: A meta-analysis of randomized controlled trials. Frontiers in Neuroscience 16.
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Giulia Leonardi, Rosella Ciurleo, Francesca Cucinotta, Bartolo Fonti, Daniele Borzelli, Lara Costa, Adriana Tisano, Simona Portaro & Angelo Alito. (2022) The role of brain oscillations in post-stroke motor recovery: An overview. Frontiers in Systems Neuroscience 16.
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Yu Qin, Meixuan Li, Yanfei Li, Yaqin Lu, Xiue Shi, Gecheng Cui, Haitong Zhao & KeHu Yang. (2022) Brain-computer interface training for motor recovery after stroke. Cochrane Database of Systematic Reviews 2022:6.
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Min Gyu Kim, Hyunmi Lim, Hye Sun Lee, In Jun Han, Jeonghun Ku & Youn Joo Kang. (2022) Brain–computer interface-based action observation combined with peripheral electrical stimulation enhances corticospinal excitability in healthy subjects and stroke patients. Journal of Neural Engineering 19:3, pages 036039.
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Lazar I. Jovanovic, Hope Jervis Rademeyer, Maureen Pakosh, Kristin E. Musselman, Milos R. Popovic & Cesar Marquez-Chin. (2022) Scoping Review on Brain-Computer Interface-Controlled Electrical Stimulation Interventions for Upper Limb Rehabilitation in Adults: A Look at Participants, Interventions, and Technology. Physiotherapy Canada.
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Yang Peng, Jing Wang, Zicai Liu, Lida Zhong, Xin Wen, Pu Wang, Xiaoqian Gong & Huiyu Liu. (2022) The Application of Brain-Computer Interface in Upper Limb Dysfunction After Stroke: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Frontiers in Human Neuroscience 16.
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Lazar I. Jovanovic, Milos R. Popovic & Cesar Marquez‐Chin. (2021) Characterizing the stimulation interference in electroencephalographic signals during brain–computer interface–controlled functional electrical stimulation therapy. Artificial Organs 46:3, pages 398-411.
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Weiwei Yang, Xiaoyun Zhang, Zhenjing Li, Qiongfang Zhang, Chunhua Xue & Yaping Huai. (2022) The Effect of Brain–Computer Interface Training on Rehabilitation of Upper Limb Dysfunction After Stroke: A Meta-Analysis of Randomized Controlled Trials. Frontiers in Neuroscience 15.
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Andrea Prestia, Fabio Rossi, Andrea Mongardi, Paolo Motto Ros, Massimo Ruo Roch, Maurizio Martina & Danilo Demarchi. (2022) Motion Analysis for Experimental Evaluation of an Event-Driven FES System. IEEE Transactions on Biomedical Circuits and Systems 16:1, pages 3-14.
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Jeffrey Lim, Derrick Lin, Won Joon Sohn, Colin M. McCrimmon, Po T. Wang, Zoran Nenadic & An H. Do. 2022. Neurorehabilitation Technology. Neurorehabilitation Technology 509 524 .

Doriana De MarcoEmilia ScalonaMaria Chiara BazziniArturo NuaraElisa TaglioneNicola Francesco LopomoGiacomo Rizzolatti, Maddalena Fabbri-DestroPietro Avanzini. (2021) Observation of others’ actions during limb immobilization prevents the subsequent decay of motor performance. Proceedings of the National Academy of Sciences 118:47.
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Nuraini Jamil, Abdelkader Nasreddine Belkacem, Sofia Ouhbi & Abderrahmane Lakas. (2021) Noninvasive Electroencephalography Equipment for Assistive, Adaptive, and Rehabilitative Brain–Computer Interfaces: A Systematic Literature Review. Sensors 21:14, pages 4754.
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Action observation training and brain-computer interface controlled functional electrical stimulation enhance upper extremity performance and cortical activation in patients with stroke: a randomized controlled trial

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Action observation training and brain-computer interface controlled functional electrical stimulation enhance upper extremity performance and cortical activation in patients with stroke: a randomized controlled trial

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