Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI)

N. Weiskopf; K. Mathiak; S.W. Bock; F. Scharnowski; R. Veit; W. Grodd; R. Goebel; N. Birbaumer

doi:10.1109/TBME.2004.827063

Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI)

N. Weiskopf^*, K. Mathiak, S.W. Bock, F. Scharnowski, R. Veit, W. Grodd, R. Goebel, N. Birbaumer

^*Corresponding author for this work

Cognitive Neuroscience

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

Abstract

A brain-computer interface (BCI) based on functional magnetic resonance imaging (fMRI) records noninvasively activity of the entire brain with a high spatial resolution. We present a fMRI-based BCI which performs data processing and feedback of the hemodynamic brain activity within 1.3 s. Using this technique, differential feedback and self-regulation is feasible as exemplified by the supplementary motor area (SMA) and parahippocampal place area (PPA). Technical and experimental aspects are discussed with respect to neurofeedback. The methodology now allows for studying behavioral effects and strategies of local self-regulation in healthy and diseased subjects.

Original language	English
Pages (from-to)	966-970
Journal	Ieee Transactions on Biomedical Engineering
Volume	51
Issue number	6
DOIs	https://doi.org/10.1109/TBME.2004.827063
Publication status	Published - 1 Jan 2004

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10.1109/TBME.2004.827063

Cite this

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abstract = "A brain-computer interface (BCI) based on functional magnetic resonance imaging (fMRI) records noninvasively activity of the entire brain with a high spatial resolution. We present a fMRI-based BCI which performs data processing and feedback of the hemodynamic brain activity within 1.3 s. Using this technique, differential feedback and self-regulation is feasible as exemplified by the supplementary motor area (SMA) and parahippocampal place area (PPA). Technical and experimental aspects are discussed with respect to neurofeedback. The methodology now allows for studying behavioral effects and strategies of local self-regulation in healthy and diseased subjects.",

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AU - Mathiak, K.

AU - Bock, S.W.

AU - Scharnowski, F.

AU - Veit, R.

AU - Grodd, W.

AU - Goebel, R.

AU - Birbaumer, N.

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AB - A brain-computer interface (BCI) based on functional magnetic resonance imaging (fMRI) records noninvasively activity of the entire brain with a high spatial resolution. We present a fMRI-based BCI which performs data processing and feedback of the hemodynamic brain activity within 1.3 s. Using this technique, differential feedback and self-regulation is feasible as exemplified by the supplementary motor area (SMA) and parahippocampal place area (PPA). Technical and experimental aspects are discussed with respect to neurofeedback. The methodology now allows for studying behavioral effects and strategies of local self-regulation in healthy and diseased subjects.

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