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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.accessioned2022-07-20T10:58:42Z
dc.date.available2022-07-20T10:58:42Z
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.citationVourvopoulos, A., Jorge, C., Abreu, R., Figueiredo, P., Fernandes, J. C., & Bermudez i Badia, S. (2019). Efficacy and brain imaging correlates of an immersive motor imagery BCI-driven VR system for upper limb motor rehabilitation: A clinical case report. Frontiers in human neuroscience, 13, 244.pt_PT
dc.identifier.doi10.3389/fnhum.2019.00244pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/4431
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherFrontiers Mediapt_PT
dc.relationMULTIMODAL NEURO-ROBOTIC VR SYSTEM FOR STROKE REHABILITATION
dc.relationStroke Neurorehabilitation Augmented by Virtual Reality and EEG-neurofeedback: Neuroimaging-based Validation and Optimization
dc.relationLaboratory for Robotics and Engineering Systems
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectBrain-computer interfacept_PT
dc.subjectEEGpt_PT
dc.subjectfMRIpt_PT
dc.subjectVirtual-realitypt_PT
dc.subjectNeurorehabilitationpt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_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.awardTitleMULTIMODAL NEURO-ROBOTIC VR SYSTEM FOR STROKE REHABILITATION
oaire.awardTitleStroke Neurorehabilitation Augmented by Virtual Reality and EEG-neurofeedback: Neuroimaging-based Validation and Optimization
oaire.awardTitleLaboratory for Robotics and Engineering Systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F97117%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCCI-COM%2F31485%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F50009%2F2019/PT
oaire.citation.titleFrontiers in Human Neurosciencept_PT
oaire.citation.volume13pt_PT
oaire.fundingStream3599-PPCDT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameVourvopoulos
person.familyNameJorge
person.familyNameFigueiredo
person.familyNameBermúdez i Badia
person.givenNameAthanasios
person.givenNameCarolina
person.givenNamePatricia
person.givenNameSergi
person.identifier279446
person.identifier239789
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person.identifier.ciencia-id231D-806E-85DC
person.identifier.ciencia-idCA17-5E88-2B37
person.identifier.orcid0000-0001-9676-8599
person.identifier.orcid0000-0002-7693-7292
person.identifier.orcid0000-0002-0743-0869
person.identifier.orcid0000-0003-4452-0414
person.identifier.ridF-3872-2017
person.identifier.ridA-1194-2013
person.identifier.ridC-8681-2018
person.identifier.scopus-author-id48762198300
person.identifier.scopus-author-id7003529050
person.identifier.scopus-author-id6506360007
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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