Literature DB >> 20519741

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

Doris Broetz1, Christoph Braun, Cornelia Weber, Surjo R Soekadar, Andrea Caria, Niels Birbaumer.   

Abstract

BACKGROUND: There is no accepted and efficient rehabilitation strategy to reduce focal impairments for patients with chronic stroke who lack residual movements.
METHODS: A 67-year-old hemiplegic patient with no active finger extension was trained with a brain-computer interface (BCI) combined with a specific daily life-oriented physiotherapy. The BCI used electrical brain activity (EEG) and magnetic brain activity (MEG) to drive an orthosis and a robot affixed to the patient's affected upper extremity, which enabled him to move the paralyzed arm and hand driven by voluntary modulation of micro-rhythm activity. In addition, the patient practiced goal-directed physiotherapy training. Over 1 year, he completed 3 training blocks. Arm motor function, gait capacities (using Fugl-Meyer Assessment, Wolf Motor Function Test, Modified Ashworth Scale, 10-m walk speed, and goal attainment score), and brain reorganization (functional MRI, MEG) were repeatedly assessed.
RESULTS: The ability of hand and arm movements as well as speed and safety of gait improved significantly (mean 46.6%). Improvement of motor function was associated with increased micro-oscillations in the ipsilesional motor cortex.
CONCLUSION: This proof-of-principle study suggests that the combination of BCI training with goal-directed, active physical therapy may improve the motor abilities of chronic stroke patients despite apparent initial paralysis.

Entities:  

Mesh:

Year:  2010        PMID: 20519741     DOI: 10.1177/1545968310368683

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  54 in total

Review 1.  Brain computer interfaces, a review.

Authors:  Luis Fernando Nicolas-Alonso; Jaime Gomez-Gil
Journal:  Sensors (Basel)       Date:  2012-01-31       Impact factor: 3.576

2.  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

3.  Early detection of hand movements from electroencephalograms for stroke therapy applications.

Authors:  A Muralidharan; J Chae; D M Taylor
Journal:  J Neural Eng       Date:  2011-05-27       Impact factor: 5.379

4.  ERD-based online brain-machine interfaces (BMI) in the context of neurorehabilitation: optimizing BMI learning and performance.

Authors:  Surjo R Soekadar; Matthias Witkowski; Jürgen Mellinger; Ander Ramos; Niels Birbaumer; Leonardo G Cohen
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2011-10       Impact factor: 3.802

5.  Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke.

Authors:  S L Norman; D J McFarland; A Miner; S C Cramer; E T Wolbrecht; J R Wolpaw; D J Reinkensmeyer
Journal:  J Neural Eng       Date:  2018-07-31       Impact factor: 5.379

6.  Combined rTMS and virtual reality brain-computer interface training for motor recovery after stroke.

Authors:  N N Johnson; J Carey; B J Edelman; A Doud; A Grande; K Lakshminarayan; B He
Journal:  J Neural Eng       Date:  2018-02       Impact factor: 5.379

7.  Applications of Brain-Machine Interface Systems in Stroke Recovery and Rehabilitation.

Authors:  Anusha Venkatakrishnan; Gerard E Francisco; Jose L Contreras-Vidal
Journal:  Curr Phys Med Rehabil Rep       Date:  2014-06-01

8.  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

9.  Decoding continuous limb movements from high-density epidural electrode arrays using custom spatial filters.

Authors:  A R Marathe; D M Taylor
Journal:  J Neural Eng       Date:  2013-04-23       Impact factor: 5.379

10.  Impact of Shoulder Abduction Loading on Brain-Machine Interface in Predicting Hand Opening and Closing in Individuals With Chronic Stroke.

Authors:  Jun Yao; Clay Sheaff; Carolina Carmona; Julius P A Dewald
Journal:  Neurorehabil Neural Repair       Date:  2015-07-27       Impact factor: 3.919

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