Brain-machine interfaces for rehabilitation in stroke: A review.
BACKGROUND: Motor paralysis after stroke has devastating consequences for the patients, families and caregivers. Although therapies have improved in the recent years, traditional rehabilitation still fails in patients with severe paralysis. Brain-machine interfaces (BMI) have emerged as a promising...
| Publicado en: | NeuroRehabilitation Vol. 43; no. 1; pp. 77 - 98 |
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| Autores principales: | , , , , , |
| Formato: | pictorial review tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=130962732&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 130962732 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10538135 3RE jtl: NeuroRehabilitation issn: 10538135 maglogo: N pubinfo: dt: 2018 vid: 43 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 130962732 130962732 130962732 10.3233/NRE-172394 130962732 ppf: 77 ppct: 21 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Brain-machine interfaces for rehabilitation in stroke: A review. aug: au: López-Larraz, E. Sarasola-Sanz, A. Irastorza-Landa, N. Birbaumer, N. Ramos-Murguialday, A. Harvey, Richard L. affil: Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany sug: subj: Stroke Rehabilitation Movement Disorders Rehabilitation Brain-Computer Interfaces Movement Disorders Etiology Stroke Complications Neuronal Plasticity Technology, Medical Recovery Treatment Outcomes Noninvasive Procedures Electroencephalography Stroke Diagnosis ab: BACKGROUND: Motor paralysis after stroke has devastating consequences for the patients, families and caregivers. Although therapies have improved in the recent years, traditional rehabilitation still fails in patients with severe paralysis. Brain-machine interfaces (BMI) have emerged as a promising tool to guide motor rehabilitation interventions as they can be applied to patients with no residual movement. OBJECTIVE: This paper reviews the efficiency of BMI technologies to facilitate neuroplasticity and motor recovery after stroke. METHODS: We provide an overview of the existing rehabilitation therapies for stroke, the rationale behind the use of BMIs for motor rehabilitation, the current state of the art and the results achieved so far with BMI-based interventions, as well as the future perspectives of neural-machine interfaces. RESULTS: Since the first pilot study by Buch and colleagues in 2008, several controlled clinical studies have been conducted, demonstrating the efficacy of BMIs to facilitate functional recovery in completely paralyzed stroke patients with noninvasive technologies such as the electroencephalogram (EEG). CONCLUSIONS: Despite encouraging results, motor rehabilitation based on BMIs is still in a preliminary stage, and further improvements are required to boost its efficacy. Invasive and hybrid approaches are promising and might set the stage for the next generation of stroke rehabilitation therapies. pubtype: Academic Journal doctype: pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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