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Motor priming in virtual reality can augment motor-imagery training efficacy in restorative brain-computer interaction: a within-subject analysis

dc.contributor.authorVourvopoulos, Athanasios
dc.contributor.authorBermúdez i Badia, Sergi
dc.date.accessioned2019-12-09T11:37:56Z
dc.date.available2019-12-09T11:37:56Z
dc.date.issued2016
dc.description.abstractThe use of Brain-Computer Interface (BCI) technology in neurorehabilitation provides new strategies to overcome stroke-related motor limitations. Recent studies demonstrated the brain's capacity for functional and structural plasticity through BCI. However, it is not fully clear how we can take full advantage of the neurobiological mechanisms underlying recovery and how to maximize restoration through BCI. In this study we investigate the role of multimodal virtual reality (VR) simulations and motor priming (MP) in an upper limb motor-imagery BCI task in order to maximize the engagement of sensory-motor networks in a broad range of patients who can benefit from virtual rehabilitation training.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVourvopoulos, A., & Bermúdez i Badia, S. (2016). Motor priming in virtual reality can augment motor-imagery training efficacy in restorative brain-computer interaction: a within-subject analysis. Journal of neuroengineering and rehabilitation, 13(69).pt_PT
dc.identifier.doi10.1186/s12984-016-0173-2pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/2631
dc.language.isoengpt_PT
dc.publisherBMCpt_PT
dc.relationMULTIMODAL NEURO-ROBOTIC VR SYSTEM FOR STROKE REHABILITATION
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectStroke rehabilitationpt_PT
dc.subjectBrain-computer interfacespt_PT
dc.subjectVirtual realitypt_PT
dc.subjectMotor primingpt_PT
dc.subjectMotor imagerypt_PT
dc.subjectNeurofeedbackpt_PT
dc.subjectEEGpt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleMotor priming in virtual reality can augment motor-imagery training efficacy in restorative brain-computer interaction: a within-subject analysispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMULTIMODAL NEURO-ROBOTIC VR SYSTEM FOR STROKE REHABILITATION
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F97117%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F50009%2F2013/PT
oaire.citation.titleJournal of NeuroEngineering and Rehabilitationpt_PT
oaire.citation.volume13(69)pt_PT
oaire.fundingStream5876
person.familyNameVourvopoulos
person.familyNameBermúdez i Badia
person.givenNameAthanasios
person.givenNameSergi
person.identifier279446
person.identifier239789
person.identifier.ciencia-id5813-A481-A9D3
person.identifier.ciencia-idCA17-5E88-2B37
person.identifier.orcid0000-0001-9676-8599
person.identifier.orcid0000-0003-4452-0414
person.identifier.ridF-3872-2017
person.identifier.ridC-8681-2018
person.identifier.scopus-author-id48762198300
person.identifier.scopus-author-id6506360007
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
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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