Brain-computer interface in stroke: A review of progress
dc.contributor.author | Silvoni, Stefano | |
dc.contributor.author | Ramos-Murguialday, Ander | |
dc.contributor.author | Cavinato, Marianna | |
dc.contributor.author | Volpato, Chiara | |
dc.contributor.author | Cisotto, Giulia | |
dc.contributor.author | Turolla, Andrea | |
dc.contributor.author | Piccione, Francesco | |
dc.contributor.author | Birbaumer, Niels | |
dc.contributor.institution | Medical Technologies | |
dc.date.accessioned | 2024-07-24T12:07:22Z | |
dc.date.available | 2024-07-24T12:07:22Z | |
dc.date.issued | 2011-10 | |
dc.description.abstract | Brain-computer interface (BCI) technology has been used for rehabilitation after stroke and there are a number of reports involving stroke patients in BCI-feedback training. Most publications have demonstrated the efficacy of BCI technology in post-stroke rehabilitation using output devices such as Functional Electrical Stimulation, robot, and orthosis. The aim of this review is to focus on the progress of BCI-based rehabilitation strategies and to underline future challenges. A brief history of clinical BCI-approaches is presented focusing on stroke motor rehabilitation. A context for three approaches of a BCI-based motor rehabilitation program is outlined: the substitutive strategy, classical conditioning and operant conditioning. Furthermore, we include an overview of a pilot study concerning a new neuro-forcefeedback strategy. This pilot study involved healthy participants. Finally we address some challenges for future BCI-based rehabilitation. | en |
dc.description.sponsorship | Supported by Fondazione Ospedale S. Camillo, Deutsche Forschungsgemeinschaft (DFG), European Research Council (ERC), Bernstein Center for Computational Neuroscience, German Ministry of Education and Research (BMBF). We are grateful to the contribution of Jürgen Mellinger and Ernesto Soares in developing the BMI system. | |
dc.description.status | Peer reviewed | |
dc.format.extent | 8 | |
dc.identifier.citation | Silvoni , S , Ramos-Murguialday , A , Cavinato , M , Volpato , C , Cisotto , G , Turolla , A , Piccione , F & Birbaumer , N 2011 , ' Brain-computer interface in stroke : A review of progress ' , Clinical EEG and Neuroscience , vol. 42 , no. 4 , pp. 245-252 . https://doi.org/10.1177/155005941104200410 | |
dc.identifier.doi | 10.1177/155005941104200410 | |
dc.identifier.issn | 1550-0594 | |
dc.identifier.uri | https://hdl.handle.net/11556/3760 | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=83355174119&partnerID=8YFLogxK | |
dc.language.iso | eng | |
dc.relation.ispartof | Clinical EEG and Neuroscience | |
dc.relation.projectID | Fondazione Ospedale S. Camillo | |
dc.relation.projectID | Seventh Framework Programme, FP7, 227632 | |
dc.relation.projectID | European Research Council, ERC | |
dc.relation.projectID | Deutsche Forschungsgemeinschaft, DFG | |
dc.relation.projectID | Bundesministerium für Bildung und Forschung, BMBF | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject.keywords | Brain-computer interface | |
dc.subject.keywords | Brain-machine interface | |
dc.subject.keywords | Neuro-forcefeedback | |
dc.subject.keywords | Neuroplasticity | |
dc.subject.keywords | Progress | |
dc.subject.keywords | Stroke | |
dc.subject.keywords | Neurology | |
dc.subject.keywords | Neurology (clinical) | |
dc.subject.keywords | SDG 3 - Good Health and Well-being | |
dc.title | Brain-computer interface in stroke: A review of progress | en |
dc.type | journal article |