RT info:eu-repo/semantics/conferenceObject
T1 Neurocognitive Training by means of a Motor Imagery-Based Brain Computer Interface in the Elderly
A1 Gómez Pilar, Javier
A1 Martínez Cagigal, Víctor
A1 Hornero Sánchez, Roberto
AB Brain-computer interfaces (BCIs) have become not only a tool to provide communication andcontrol for people with disabilities, but also a way to restore brain plasticity by inducing brain activityby means of neurofeedback training (NFT). In this regard, NFT has shown to be a suitable techniqueto control one’s own brain activity. We hypothesized that a well-designed NFT with a motor imagerybasedBCI (MI-BCI) could enhance cognitive functions related to ageing effects. In this study, a MIBCIapplication was developed, designed and assessed to study the potential benefits in elderly peopleto slow down the effect of ageing. To assess the effectiveness of our MI-BCI application, a total of 63subjects were recruited by the ‘Centro de Referencia Estatal (CRE) of San Andrés del Rabanedo (León,Spain). All subjects were older than 60 years, healthy, and with similar educational level. None of themhad previous BCI experience (BCI-naives). Participants was randomly divided, taking into account ageand gender, into a control group (32 subjects) and a NFT group (31 subjects). Our proposed applicationwas only used by the NFT group (31 subjects). NFT effects were studied observing changes in theelectroencephalogram (EEG) spectrum during resting by means of relative power (RP) measures, andalso by the study of changes in different cognitive functions using the Luria Adult NeuropsychologicalDiagnosis (Luria-AND) test. Three frequency bands centered on 12, 18, and 21 Hz (bandwidth of 3 Hz)were selected for the training and, then, to assess EEG changes. Significant increases (p<0.01, Wilcoxonsigned-rank test) in the RP of these frequency bands were found. Moreover, after performing five NFTsession, results from Luria-AND test showed significant improvements (p<0.01, Wilcoxon signed-ranktest) in the NFT group in four cognitive functions: visuospatial, oral language, memory, and intellectual.These results further support the association between NFT and the enhancement of cognitive performance,as well as it opens the opportunity of designing new NFT based on motor imagery strategies. Therefore,this novel approach could lead to new means to help elderly people by slowing down the effect of ageing.
YR 2017
FD 2017
LK http://uvadoc.uva.es/handle/10324/31356
UL http://uvadoc.uva.es/handle/10324/31356
LA spa
NO Producción Científica
DS UVaDOC
RD 23-nov-2024