Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI)
N Weiskopf, K Mathiak, SW Bock…�- IEEE transactions on�…, 2004 - ieeexplore.ieee.org
IEEE transactions on biomedical engineering, 2004•ieeexplore.ieee.org
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�…
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�…
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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