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 |
| Number of pages | 5 |
| Journal | IEEE Transactions on Biomedical Engineering |
| Volume | 51 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Jun 2004 |
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Keywords
- Blood oxygen level-dependent
- Brain-computer interface
- Neurofeedback
- Self-regulation
ASJC Scopus subject areas
- Biomedical Engineering
Cite this
Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI). / Weiskopf, Nikolaus; Mathiak, Klaus; Bock, Simon W.; Scharnowski, Frank; Veit, Ralf; Grodd, Wolfgang; Goebel, Rainer; Birbaumer, Niels.
In: IEEE Transactions on Biomedical Engineering, Vol. 51, No. 6, 06.2004, p. 966-970.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI)
AU - Weiskopf, Nikolaus
AU - Mathiak, Klaus
AU - Bock, Simon W.
AU - Scharnowski, Frank
AU - Veit, Ralf
AU - Grodd, Wolfgang
AU - Goebel, Rainer
AU - Birbaumer, Niels
PY - 2004/6
Y1 - 2004/6
N2 - 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.
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.
KW - Blood oxygen level-dependent
KW - Brain-computer interface
KW - Neurofeedback
KW - Self-regulation
UR - http://www.scopus.com/inward/record.url?scp=2442688033&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=2442688033&partnerID=8YFLogxK
U2 - 10.1109/TBME.2004.827063
DO - 10.1109/TBME.2004.827063
M3 - Article
VL - 51
SP - 966
EP - 970
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
SN - 0018-9294
IS - 6
ER -