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      Cortical effects of user training in a motor imagery based brain-computer interface measured by fNIRS and EEG.

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          Abstract

          The present study aims to gain insights into the effects of training with a motor imagery (MI)-based brain-computer interface (BCI) on activation patterns of the sensorimotor cortex. We used functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) to investigate long-term training effects across 10 sessions using a 2-class (right hand and feet) MI-based BCI in fifteen subjects. In the course of the training a significant enhancement of activation pattern emerges, represented by an [oxy-Hb] increase in fNIRS and a stronger event-related desynchronization in the upper β-frequency band in the EEG. These effects were only visible in participants with relatively low BCI performance (mean accuracy ≤ 70%). We found that training with an MI-based BCI affects cortical activation patterns especially in users with low BCI performance. Our results may serve as a valuable contribution to the field of BCI research and provide information about the effects that training with an MI-based BCI has on cortical activation patterns. This might be useful for clinical applications of BCI which aim at promoting and guiding neuroplasticity.

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          Author and article information

          Journal
          Neuroimage
          NeuroImage
          Elsevier BV
          1095-9572
          1053-8119
          Jan 15 2014
          : 85 Pt 1
          Affiliations
          [1 ] Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria. Electronic address: vera.kaiser@tugraz.at.
          Article
          S1053-8119(13)00456-4
          10.1016/j.neuroimage.2013.04.097
          23651839
          31dff061-2b05-4d0b-8c92-dcc312e07242
          Copyright © 2013 Elsevier Inc. All rights reserved.
          History

          BCI training,Brain–computer interface (BCI),Cortical training effects,Electroencephalography (EEG),Functional near-infrared spectroscopy (fNIRS),Motor imagery (MI)

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