RT Journal Article
T1 Brain-computer interface in stroke: 												A review of progress
A1 Silvoni, Stefano
A1 Ramos-Murguialday, Ander
A1 Cavinato, Marianna
A1 Volpato, Chiara
A1 Cisotto, Giulia
A1 Turolla, Andrea
A1 Piccione, Francesco
A1 Birbaumer, Niels
AB 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.
SN 1550-0594
YR 2011
FD 2011-10
LK https://hdl.handle.net/11556/3760
UL https://hdl.handle.net/11556/3760
LA eng
NO 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
NO 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.
DS TECNALIA Publications
RD 26 jul 2024