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Kaiser, V; Bauernfeind, G; Kreilinger, A; Kaufmann, T; Kübler, A; Neuper, C; Müller-Putz, GR.
Cortical effects of user training in a motor imagery based brain-computer interface measured by fNIRS and EEG.
Neuroimage. 2014; 85 Pt 1(7):432-444
Doi: 10.1016/j.neuroimage.2013.04.097
Web of Science
PubMed
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- Co-Autor*innen der Med Uni Graz
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Kreilinger Alex
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- Abstract:
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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.
Copyright © 2013 Elsevier Inc. All rights reserved.
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Adult -
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Brain Mapping -
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Brain-Computer Interfaces -
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Cerebral Cortex - physiology
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Data Interpretation, Statistical -
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Electroencephalography - methods
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Female -
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Humans -
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Male -
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Motor Cortex - physiology
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Signal Processing, Computer-Assisted -
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Somatosensory Cortex - physiology
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Spectroscopy, Near-Infrared - methods
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Young Adult -
- Find related publications in this database (Keywords)
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Brain-computer interface (BCI)
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BCI training
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Motor imagery (MI)
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Cortical training effects
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Functional near-infrared spectroscopy (fNIRS)
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Electroencephalography (EEG)