Brain‐machine interface of upper limb recovery in stroke patients rehabilitation: A systematic review.
Background: Technologies such as brain‐computer interfaces are able to guide mental practice, in particular motor imagery performance, to promote recovery in stroke patients, as a combined approach to conventional therapy. Objective: The aim of this systematic review was to provide a status report r...
| Published in: | Physiotherapy Research International Vol. 24; no. 2 |
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| Main Authors: | , , |
| Format: | research systematic review tables/charts Journal Article |
| Published: |
Wiley-Blackwell
Apr2019
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135667824&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135667824 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13582267 GPG jtl: Physiotherapy Research International issn: 13582267 maglogo: Y pubinfo: dt: Apr2019 vid: 24 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 135667824 135667824 135667824 10.1002/pri.1764 135667824 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Brain‐machine interface of upper limb recovery in stroke patients rehabilitation: A systematic review. aug: au: Carvalho, Raquel Dias, Nuno Cerqueira, João José affil: Department of Physical Therapy, CESPU, Institute of Research and Advanced Training in Health Sciences and Technologies, Gandra Portugal sug: subj: Brain-Computer Interfaces Hemiplegia Rehabilitation Recovery Upper Extremity Physiopathology Stroke Patients Human Systematic Review Motor Activity PubMed Physiotherapy Evidence Database Electroencephalography Scales Biofeedback Electric Stimulation ab: Background: Technologies such as brain‐computer interfaces are able to guide mental practice, in particular motor imagery performance, to promote recovery in stroke patients, as a combined approach to conventional therapy. Objective: The aim of this systematic review was to provide a status report regarding advances in brain‐computer interface, focusing in particular in upper limb motor recovery. Methods: The databases PubMed, Scopus, and PEDro were systematically searched for articles published between January 2010 and December 2017. The selected studies were randomized controlled trials involving brain‐computer interface interventions in stroke patients, with upper limb assessment as primary outcome measures. Reviewers independently extracted data and assessed the methodological quality of the trials, using the PEDro methodologic rating scale. Results: From 309 titles, we included nine studies with high quality (PEDro ≥ 6). We found that the most common interface used was non‐invasive electroencephalography, and the main neurofeedback, in stroke rehabilitation, was usually visual abstract or a combination with the control of an orthosis/robotic limb. Moreover, the Fugl–Meyer Assessment Scale was a major outcome measure in eight out of nine studies. In addition, the benefits of functional electric stimulation associated to an interface were found in three studies. Conclusions: Neurofeedback training with brain‐computer interface systems seem to promote clinical and neurophysiologic changes in stroke patients, in particular those with long‐term efficacy. pubtype: Academic Journal doctype: research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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