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Efficacy and Brain Imaging Correlates of an Immersive Motor Imagery BCI-Driven VR System for Upper Limb Motor Rehabilitation: A Clinical Case Report

2019Journal article Open access
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dc.contributor.authorVourvopoulos, Athanasios
dc.contributor.authorJorge, Carolina
dc.contributor.authorAbreu, Rodolfo
dc.contributor.authorFigueiredo, Patrícia
dc.contributor.authorFernandes, Jean-Claude
dc.contributor.authorBermúdez I Badia, Sergi
dc.date.accessioned2020-07-31T06:46:09Z
dc.date.available2020-07-31T06:46:09Z
dc.date.issued2019
dc.description.abstractTo maximize brain plasticity after stroke, a plethora of rehabilitation strategies have been explored. These include the use of intensive motor training, motor-imagery (MI), and action-observation (AO). Growing evidence of the positive impact of virtual reality (VR) techniques on recovery following stroke has been shown. However, most VR tools are designed to exploit active movement, and hence patients with low level of motor control cannot fully benefit from them. Consequently, the idea of directly training the central nervous system has been promoted by utilizing MI with electroencephalography (EEG)-based brain-computer interfaces (BCIs). To date, detailed information on which VR strategies lead to successful functional recovery is still largely missing and very little is known on how to optimally integrate EEG-based BCIs and VR paradigms for stroke rehabilitation. The purpose of this study was to examine the efficacy of an EEG-based BCI-VR system using a MI paradigm for post-stroke upper limb rehabilitation on functional assessments, and related changes in MI ability and brain imaging. To achieve this, a 60 years old male chronic stroke patient was recruited. The patient underwent a 3-week intervention in a clinical environment, resulting in 10 BCI-VR training sessions. The patient was assessed before and after intervention, as well as on a one-month follow-up, in terms of clinical scales and brain imaging using functional MRI (fMRI). Consistent with prior research, we found important improvements in upper extremity scores (Fugl-Meyer) and identified increases in brain activation measured by fMRI that suggest neuroplastic changes in brain motor networks. This study expands on the current body of evidence, as more data are needed on the effect of this type of interventions not only on functional improvement but also on the effect of the intervention on plasticity through brain imaging.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFront. Hum. Neurosci. 13:244pt_PT
dc.identifier.doi10.3389/fnhum.2019.00244pt_PT
dc.identifier.issn1662-5161
dc.identifier.urihttp://hdl.handle.net/10400.26/33021
dc.language.isoengpt_PT
dc.subjectbrain plasticity after strokept_PT
dc.subjectbrain-computer interfacept_PT
dc.subjectEEGpt_PT
dc.subjectvirtual-realitypt_PT
dc.subjectneurorehabilitationpt_PT
dc.subjectfMRIpt_PT
dc.titleEfficacy and Brain Imaging Correlates of an Immersive Motor Imagery BCI-Driven VR System for Upper Limb Motor Rehabilitation: A Clinical Case Reportpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage244pt_PT
oaire.citation.titleFrontiers in human neurosciencept_PT
oaire.citation.volume13pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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