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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 (2004). Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI). IEEE Transactions on Bio-Medical Engineering, 51(6):966-970.

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.

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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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Neuroscience Center Zurich
04 Faculty of Medicine > Psychiatric University Hospital Zurich > Clinic for Psychiatry, Psychotherapy, and Psychosomatics
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Language:English
Date:June 2004
Deposited On:25 Sep 2017 14:41
Last Modified:26 Sep 2017 07:37
Publisher:Institute of Electrical and Electronics Engineers
ISSN:0018-9294
Publisher DOI:https://doi.org/10.1109/TBME.2004.827063
PubMed ID:15188865

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