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

Weiskopf, N., Mathiak, K., Bock, S. W., Scharnowski, F., Veit, R., Grodd, W., et al. (2004). Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI). IEEE Transactions on Biomedical Engineering, 51(6), 966-970. doi:10.1109/TBME.2004.827063.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-66EC-C Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-30EC-4
Genre: Journal Article

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 Creators:
Weiskopf, Nikolaus1, 2, Author           
Mathiak, Klaus1, Author
Bock, Simon W.3, Author
Scharnowski, Frank3, Author
Veit, Ralf4, Author
Grodd, Wolfgang2, Author
Goebel, Rainer5, Author
Birbaumer, Niels1, 6, Author
Affiliations:
1Department of Neurology, Eberhard Karls University Tübingen, Germany, ou_persistent22              
2Section of Experimental MR of the CNS, Department of Radiology, Eberhard Karls University Tübingen, Germany, ou_persistent22              
3Max Planck Institute for Biological Cybernetics, Tübingen, Germany, ou_persistent22              
4Institute of Medical Psychology and Behavioral Neurobiology, Eberhard Karls University Tübingen, Germany, ou_persistent22              
5Department of Cognitive Neuroscience, Maastricht University, the Netherlands, ou_persistent22              
6Center for Mind/Brain Sciences, University of Trento, Italy, ou_persistent22              

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Free keywords: Bioelectric potentials; Biomedical MRI; Brain; Feedback; Haemodynamics; Handicapped aids; Medical image processing; Neurophysiology
 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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Language(s): eng - English
 Dates: 2004-06-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/TBME.2004.827063
 Degree: -

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Title: IEEE Transactions on Biomedical Engineering
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 51 (6) Sequence Number: - Start / End Page: 966 - 970 Identifier: ISSN: 0018-9294
CoNE: https://pure.mpg.de/cone/journals/resource/991042742034490