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

Vera Kaiser; Günther Bauernfeind; Alex Kreilinger; Tobias Kaufmann; Andrea Kübler; Christa Neuper; Gernot Müller-Putz

doi:10.1016/j.neuroimage.2013.04.097

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

Vera Kaiser
, Günther Bauernfeind^*
, Alex Kreilinger
, Tobias Kaufmann
, Andrea Kübler
, Christa Neuper
, Gernot Müller-Putz

^*Corresponding author for this work

Institute of Neural Engineering (7090)

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	432-444
Journal	NeuroImage
Volume	85
Issue number	1
DOIs	https://doi.org/10.1016/j.neuroimage.2013.04.097
Publication status	Published - 2013

Fields of Expertise

Human- & Biotechnology

Treatment code (Nähere Zuordnung)

Basic - Fundamental (Grundlagenforschung)
Theoretical
Experimental

Access to Document

10.1016/j.neuroimage.2013.04.097

EHK-NIRS - Systemic influence on characteristic hemodynamic responses measured with NIRS
Müller-Putz, G. (Project manager on research unit), Scharfetter, H. (Attendee / Assistant), Neuper, C. (Project manager) & Bauernfeind, G. (Attendee / Assistant)
1/12/09 → 1/12/11
Project: Research project
EU - TOBI - Tools for brain-computer interaction
Müller-Putz, G. (Project manager on research unit), Breitwieser, C. (Attendee / Assistant), Kreilinger, A. (Attendee / Assistant), Kaiser, V. (Attendee / Assistant), Hiebel, H. (Attendee / Assistant) & Neuper, C. (Project manager)
1/11/08 → 31/01/13
Project: Research project

Cite this

@article{a53a174041224d1184f7824ac444ea3a,

title = "Cortical effects of user training in a motor imagery based brain-computer interface measured by fNIRS and EEG",

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.",

author = "Vera Kaiser and G{\"u}nther Bauernfeind and Alex Kreilinger and Tobias Kaufmann and Andrea K{\"u}bler and Christa Neuper and Gernot M{\"u}ller-Putz",

year = "2013",

doi = "10.1016/j.neuroimage.2013.04.097",

language = "English",

volume = "85",

pages = "432--444",

journal = "NeuroImage",

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T1 - Cortical effects of user training in a motor imagery based brain-computer interface measured by fNIRS and EEG

AU - Kaiser, Vera

AU - Bauernfeind, Günther

AU - Kreilinger, Alex

AU - Kaufmann, Tobias

AU - Kübler, Andrea

AU - Neuper, Christa

AU - Müller-Putz, Gernot

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

U2 - 10.1016/j.neuroimage.2013.04.097

DO - 10.1016/j.neuroimage.2013.04.097

M3 - Article

VL - 85

SP - 432

EP - 444

JO - NeuroImage

JF - NeuroImage

IS - 1

ER -

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

Abstract

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

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Projects

EHK-NIRS - Systemic influence on characteristic hemodynamic responses measured with NIRS

EU - TOBI - Tools for brain-computer interaction

Cite this