Literature DB >> 27112213

A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke.

Alexander Remsik1, Brittany Young1, Rebecca Vermilyea1, Laura Kiekhoefer1, Jessica Abrams1, Samantha Evander Elmore1, Paige Schultz1, Veena Nair1, Dorothy Edwards1, Justin Williams1, Vivek Prabhakaran1.   

Abstract

Stroke is a leading cause of acquired disability resulting in distal upper extremity functional motor impairment. Stroke mortality rates continue to decline with advances in healthcare and medical technology. This has led to an increased demand for advanced, personalized rehabilitation. Survivors often experience some level of spontaneous recovery shortly after their stroke event, yet reach a functional plateau after which there is exiguous motor recovery. Nevertheless, studies have demonstrated the potential for recovery beyond this plateau. Non-traditional neurorehabilitation techniques, such as those incorporating the brain-computer interface (BCI), are being investigated for rehabilitation. BCIs may offer a gateway to the brain's plasticity and revolutionize how humans interact with the world. Non-invasive BCIs work by closing the proprioceptive feedback loop with real-time, multi-sensory feedback allowing for volitional modulation of brain signals to assist hand function. BCI technology potentially promotes neuroplasticity and Hebbian-based motor recovery by rewarding cortical activity associated with sensory-motor rhythms through use with a variety of self-guided and assistive modalities.

Entities:  

Keywords:  BCI therapy; Brain-computer interface; EEG; Hebbian-learning; MI; UE motor recovery; sensory-motor regions

Mesh:

Year:  2016        PMID: 27112213      PMCID: PMC5131699          DOI: 10.1080/17434440.2016.1174572

Source DB:  PubMed          Journal:  Expert Rev Med Devices        ISSN: 1743-4440            Impact factor:   3.166


  62 in total

1.  Towards brain-robot interfaces in stroke rehabilitation.

Authors:  M Gomez-Rodriguez; M Grosse-Wentrup; J Hill; A Gharabaghi; B Scholkopf; J Peters
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

2.  Brain repair after stroke.

Authors:  Steven C Cramer
Journal:  N Engl J Med       Date:  2010-04-16       Impact factor: 91.245

3.  Lingual electrotactile stimulation as an alternative sensory feedback pathway for brain-computer interface applications.

Authors:  J Adam Wilson; Léo M Walton; Mitch Tyler; Justin Williams
Journal:  J Neural Eng       Date:  2012-07-25       Impact factor: 5.379

4.  Near-infrared spectroscopy-mediated neurofeedback enhances efficacy of motor imagery-based training in poststroke victims: a pilot study.

Authors:  Masahito Mihara; Noriaki Hattori; Megumi Hatakenaka; Hajime Yagura; Teiji Kawano; Taro Hino; Ichiro Miyai
Journal:  Stroke       Date:  2013-02-12       Impact factor: 7.914

5.  Effect of a Task-Oriented Rehabilitation Program on Upper Extremity Recovery Following Motor Stroke: The ICARE Randomized Clinical Trial.

Authors:  Carolee J Winstein; Steven L Wolf; Alexander W Dromerick; Christianne J Lane; Monica A Nelsen; Rebecca Lewthwaite; Steven Yong Cen; Stanley P Azen
Journal:  JAMA       Date:  2016-02-09       Impact factor: 56.272

6.  Combination of brain-computer interface training and goal-directed physical therapy in chronic stroke: a case report.

Authors:  Doris Broetz; Christoph Braun; Cornelia Weber; Surjo R Soekadar; Andrea Caria; Niels Birbaumer
Journal:  Neurorehabil Neural Repair       Date:  2010-06-02       Impact factor: 3.919

7.  Brain-machine interface in chronic stroke rehabilitation: a controlled study.

Authors:  Ander Ramos-Murguialday; Doris Broetz; Massimiliano Rea; Leonhard Läer; Ozge Yilmaz; Fabricio L Brasil; Giulia Liberati; Marco R Curado; Eliana Garcia-Cossio; Alexandros Vyziotis; Woosang Cho; Manuel Agostini; Ernesto Soares; Surjo Soekadar; Andrea Caria; Leonardo G Cohen; Niels Birbaumer
Journal:  Ann Neurol       Date:  2013-08-07       Impact factor: 10.422

8.  Mental workload during brain-computer interface training.

Authors:  Elizabeth A Felton; Justin C Williams; Gregg C Vanderheiden; Robert G Radwin
Journal:  Ergonomics       Date:  2012-04-16       Impact factor: 2.778

9.  Extracting Attempted Hand Movements from EEGs in People with Complete Hand Paralysis Following Stroke.

Authors:  Abirami Muralidharan; John Chae; Dawn M Taylor
Journal:  Front Neurosci       Date:  2011-03-25       Impact factor: 4.677

10.  Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study.

Authors:  Girijesh Prasad; Pawel Herman; Damien Coyle; Suzanne McDonough; Jacqueline Crosbie
Journal:  J Neuroeng Rehabil       Date:  2010-12-14       Impact factor: 4.262

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  28 in total

1.  BCI-FES With Multimodal Feedback for Motor Recovery Poststroke.

Authors:  Alexander B Remsik; Peter L E van Kan; Shawna Gloe; Klevest Gjini; Leroy Williams; Veena Nair; Kristin Caldera; Justin C Williams; Vivek Prabhakaran
Journal:  Front Hum Neurosci       Date:  2022-07-06       Impact factor: 3.473

2.  Brain-Computer Interfaces in Neurorecovery and Neurorehabilitation.

Authors:  Michael J Young; David J Lin; Leigh R Hochberg
Journal:  Semin Neurol       Date:  2021-03-19       Impact factor: 3.212

Review 3.  Hand Rehabilitation Robotics on Poststroke Motor Recovery.

Authors:  Zan Yue; Xue Zhang; Jing Wang
Journal:  Behav Neurol       Date:  2017-11-02       Impact factor: 3.342

4.  Evaluating the versatility of EEG models generated from motor imagery tasks: An exploratory investigation on upper-limb elbow-centered motor imagery tasks.

Authors:  Xin Zhang; Xinyi Yong; Carlo Menon
Journal:  PLoS One       Date:  2017-11-29       Impact factor: 3.240

5.  Behavioral and Cortical Effects during Attention Driven Brain-Computer Interface Operations in Spatial Neglect: A Feasibility Case Study.

Authors:  Luca Tonin; Marco Pitteri; Robert Leeb; Huaijian Zhang; Emanuele Menegatti; Francesco Piccione; José Del R Millán
Journal:  Front Hum Neurosci       Date:  2017-06-28       Impact factor: 3.169

Review 6.  EEG-Based Brain-Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21 st Century.

Authors:  Ioulietta Lazarou; Spiros Nikolopoulos; Panagiotis C Petrantonakis; Ioannis Kompatsiaris; Magda Tsolaki
Journal:  Front Hum Neurosci       Date:  2018-01-31       Impact factor: 3.169

7.  Development of a Low-Cost EEG-Controlled Hand Exoskeleton 3D Printed on Textiles.

Authors:  Rommel S Araujo; Camille R Silva; Severino P N Netto; Edgard Morya; Fabricio L Brasil
Journal:  Front Neurosci       Date:  2021-06-25       Impact factor: 4.677

Review 8.  Challenges and Opportunities for the Future of Brain-Computer Interface in Neurorehabilitation.

Authors:  Colin Simon; David A E Bolton; Niamh C Kennedy; Surjo R Soekadar; Kathy L Ruddy
Journal:  Front Neurosci       Date:  2021-07-02       Impact factor: 4.677

Review 9.  Rehabilitation of Motor Function after Stroke: A Multiple Systematic Review Focused on Techniques to Stimulate Upper Extremity Recovery.

Authors:  Samar M Hatem; Geoffroy Saussez; Margaux Della Faille; Vincent Prist; Xue Zhang; Delphine Dispa; Yannick Bleyenheuft
Journal:  Front Hum Neurosci       Date:  2016-09-13       Impact factor: 3.169

10.  A New Method to Generate Artificial Frames Using the Empirical Mode Decomposition for an EEG-Based Motor Imagery BCI.

Authors:  Josep Dinarès-Ferran; Rupert Ortner; Christoph Guger; Jordi Solé-Casals
Journal:  Front Neurosci       Date:  2018-05-11       Impact factor: 4.677

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