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dc.contributor.authorGómez Pilar, Javier
dc.contributor.authorCorralejo Palacios, Rebeca
dc.contributor.authorNicolás Alonso, Luis Fernando
dc.contributor.authorÁlvarez, Daniel
dc.contributor.authorHornero Sánchez, Roberto 
dc.date.accessioned2016-12-14T07:27:22Z
dc.date.available2016-12-14T07:27:22Z
dc.date.issued2016
dc.identifier.citationMedical and Biological Engineering and Computing (2016) 54:1655–1666es
dc.identifier.issn0140-0118es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/21682
dc.descriptionProducción Científicaes
dc.description.abstractNeurofeedback training (NFT) has shown to be promising and useful to rehabilitate cognitive functions. Recently, brain-computer interfaces (BCIs) were used to restore brain plasticity by inducing brain activity with a NFT. In our study, we hypothesized that a NFT with a motor imagery-based BCI (MI-BCI) could enhance cognitive functions related to aging effects. To assess the effectiveness of our MI-BCI application, 63 subjects (older than 60 years) were recruited. This novel application was used by 31 subjects (NFT group). Their Luria neuropsychological test scores were compared with the remaining 32 subjects, who did not perform NFT (control group). Electroencephalogram (EEG) changes measured by relative power (RP) endorsed cognitive potential findings under study: visuospatial, oral language, memory, intellectual and attention functions. Three frequency bands were selected to assess cognitive changes: 12, 18, and 21 Hz (bandwidth 3 Hz). Significant increases (p<0.01) in the RP of these frequency bands were found. Moreover, results from cognitive tests showed significant improvements (p<0.01) in four cognitive functions after performing five NFT sessions: visuospatial, oral language, memory, and intellectual. This established evidence in the association between NFT performed by a MI-BCI and enhanced cognitive performance. Therefore, it could be a novel approach to help elderly people.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherSpringer Verlages
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBrain Computer Interface (BCI)es
dc.titleNeurofeedback training with a motor imagery-based BCI: neurocognitive improvements and EEG changes in the elderlyes
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1007/s11517-016-1454-4es
dc.peerreviewedSIes
dc.description.projectMinisterio de Economía y Competitividad (TEC2014-53196)es
dc.description.projectJunta de Castilla y León (VA059U13)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International


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