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  fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment

Sitaram, R., Caria, A., Veit, R., Gaber, T., Rota, G., Kuebler, A., et al. (2007). fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment. Computational Intelligence and Neuroscience, 2007: 25487, pp. 1-10. doi:10.1155/2007/25487.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-31AD-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-31AF-1
Genre: Journal Article

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 Creators:
Sitaram, R, Author              
Caria, A, Author
Veit, R1, 2, Author              
Gaber, T1, 2, Author              
Rota, G, Author
Kuebler, A, Author
Birbaumer, N, Author
Affiliations:
1Former Department MRZ, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528700              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Brain-computer interfaces based on functional magnetic resonance imaging (fMRI-BCI) allow volitional control of anatomically specific regions of the brain. Technological advancement in higher field MRI scanners, fast data acquisition sequences, preprocessing algorithms, and robust statistical analysis are anticipated to make fMRI-BCI more widely available and applicable. This noninvasive technique could potentially complement the traditional neuroscientific experimental methods by varying the activity of the neural substrates of a region of interest as an independent variable to study its effects on behavior. If the neurobiological basis of a disorder (e.g., chronic pain, motor diseases, psychopathy, social phobia, depression) is known in terms of abnormal activity in certain regions of the brain, fMRI-BCI can be targeted to modify activity in those regions with high specificity for treatment. In this paper, we review recent results of the application of fMRI-BCI to neuroscientific research and psychophysiological treatment.

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 Dates: 2007-11
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1155/2007/25487
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Title: Computational Intelligence and Neuroscience
  Abbreviation : Comput Intell Neurosci
Source Genre: Journal
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Publ. Info: Hindawi : New York, NY
Pages: - Volume / Issue: 2007 Sequence Number: 25487 Start / End Page: 1 - 10 Identifier: ISSN: 1687-5265
CoNE: https://pure.mpg.de/cone/journals/resource/1687-5265