RT info:eu-repo/semantics/article
T1 Neurofeedback training with a motor imagery-based BCI: neurocognitive improvements and EEG changes in the elderly
A1 Gómez Pilar, Javier
A1 Corralejo Palacios, Rebeca
A1 Nicolás Alonso, Luis Fernando
A1 Álvarez González, Daniel
A1 Hornero Sánchez, Roberto
K1 Brain Computer Interface (BCI)
AB Neurofeedback 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.
PB Springer Verlag
SN 0140-0118
YR 2016
FD 2016
LK http://uvadoc.uva.es/handle/10324/21682
UL http://uvadoc.uva.es/handle/10324/21682
LA eng
NO Medical and Biological Engineering and Computing  (2016) 54:1655–1666
NO Producción Científica
DS UVaDOC
RD 23-abr-2024