Literature DB >> 25655381

Brain-computer interface training combined with transcranial direct current stimulation in patients with chronic severe hemiparesis: Proof of concept study.

Yuko Kasashima-Shindo1, Toshiyuki Fujiwara, Junichi Ushiba, Yayoi Matsushika, Daiki Kamatani, Misa Oto, Takashi Ono, Atsuko Nishimoto, Keiichiro Shindo, Michiyuki Kawakami, Tetsuya Tsuji, Meigen Liu.   

Abstract

OBJECTIVE: Brain-computer interface technology has been applied to stroke patients to improve their motor function. Event-related desynchronization during motor imagery, which is used as a brain-computer interface trigger, is sometimes difficult to detect in stroke patients. Anodal transcranial direct current stimulation (tDCS) is known to increase event-related desynchronization. This study investigated the adjunctive effect of anodal tDCS for brain-computer interface training in patients with severe hemiparesis.
SUBJECTS: Eighteen patients with chronic stroke.
DESIGN: A non-randomized controlled study.
METHODS: Subjects were divided between a brain-computer interface group and a tDCS- brain-computer interface group and participated in a 10-day brain-computer interface training. Event-related desynchronization was detected in the affected hemisphere during motor imagery of the affected fingers. The tDCS-brain-computer interface group received anodal tDCS before brain-computer interface training. Event-related desynchronization was evaluated before and after the intervention. The Fugl-Meyer Assessment upper extremity motor score (FM-U) was assessed before, immediately after, and 3 months after, the intervention.
RESULTS: Event-related desynchronization was significantly increased in the tDCS- brain-computer interface group. The FM-U was significantly increased in both groups. The FM-U improvement was maintained at 3 months in the tDCS-brain-computer interface group.
CONCLUSION: Anodal tDCS can be a conditioning tool for brain-computer interface training in patients with severe hemiparetic stroke.

Entities:  

Mesh:

Year:  2015        PMID: 25655381     DOI: 10.2340/16501977-1925

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  20 in total

1.  Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface.

Authors:  Natalie Mrachacz-Kersting; Ning Jiang; Andrew James Thomas Stevenson; Imran Khan Niazi; Vladimir Kostic; Aleksandra Pavlovic; Sasa Radovanovic; Milica Djuric-Jovicic; Federica Agosta; Kim Dremstrup; Dario Farina
Journal:  J Neurophysiol       Date:  2015-12-30       Impact factor: 2.714

Review 2.  Closed-loop brain training: the science of neurofeedback.

Authors:  Ranganatha Sitaram; Tomas Ros; Luke Stoeckel; Sven Haller; Frank Scharnowski; Jarrod Lewis-Peacock; Nikolaus Weiskopf; Maria Laura Blefari; Mohit Rana; Ethan Oblak; Niels Birbaumer; James Sulzer
Journal:  Nat Rev Neurosci       Date:  2016-12-22       Impact factor: 34.870

Review 3.  Brain-computer interfaces for communication and rehabilitation.

Authors:  Ujwal Chaudhary; Niels Birbaumer; Ander Ramos-Murguialday
Journal:  Nat Rev Neurol       Date:  2016-08-19       Impact factor: 42.937

Review 4.  The contribution of interindividual factors to variability of response in transcranial direct current stimulation studies.

Authors:  Lucia M Li; Kazumasa Uehara; Takashi Hanakawa
Journal:  Front Cell Neurosci       Date:  2015-05-12       Impact factor: 5.505

Review 5.  Moving Forward by Stimulating the Brain: Transcranial Direct Current Stimulation in Post-Stroke Hemiparesis.

Authors:  Heather T Peters; Dylan J Edwards; Susan Wortman-Jutt; Stephen J Page
Journal:  Front Hum Neurosci       Date:  2016-08-09       Impact factor: 3.169

6.  Single-session tDCS over the dominant hemisphere affects contralateral spectral EEG power, but does not enhance neurofeedback-guided event-related desynchronization of the non-dominant hemisphere's sensorimotor rhythm.

Authors:  Valeria Mondini; Anna Lisa Mangia; Angelo Cappello
Journal:  PLoS One       Date:  2018-03-07       Impact factor: 3.240

Review 7.  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

8.  Evidence-Based Guidelines and Secondary Meta-Analysis for the Use of Transcranial Direct Current Stimulation in Neurological and Psychiatric Disorders.

Authors:  Felipe Fregni; Mirret M El-Hagrassy; Kevin Pacheco-Barrios; Sandra Carvalho; Jorge Leite; Marcel Simis; Jerome Brunelin; Ester Miyuki Nakamura-Palacios; Paola Marangolo; Ganesan Venkatasubramanian; Daniel San-Juan; Wolnei Caumo; Marom Bikson; André R Brunoni
Journal:  Int J Neuropsychopharmacol       Date:  2021-04-21       Impact factor: 5.176

9.  Effects of brain-computer interface training on upper limb function recovery in stroke patients: A protocol for systematic review and meta-analysis.

Authors:  Xiali Xue; Huan Tu; Zhongyi Deng; Ling Zhou; Ning Li; Xiaokun Wang
Journal:  Medicine (Baltimore)       Date:  2021-06-11       Impact factor: 1.817

Review 10.  Current Challenges Facing the Translation of Brain Computer Interfaces from Preclinical Trials to Use in Human Patients.

Authors:  Maxwell D Murphy; David J Guggenmos; David T Bundy; Randolph J Nudo
Journal:  Front Cell Neurosci       Date:  2016-01-06       Impact factor: 5.505

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