Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI)
Author: Weiskopf N//Mathiak K//Bock SW//Scharnowski F////
Affiliation:
Institute of Medical Psychology and Behavioral Neurobiology, University of Tubingen, Tubingen, Germany. nikolaus.weiskopf@uni-tuebingen.de
Conference/Journal: IEEE Trans Biomed Eng
Date published: 2004
Other:
Volume ID: 51 , Issue ID: 6 , Pages: 966-70 , Word Count: 91
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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