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Computational Intelligence and Neuroscience
Volume 2007 (2007), Article ID 25487, 10 pages
fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment
1Institute of Medical Psychology and Behavioral Neurobiology, Eberhard-Karls-University of Tübingen, Tübingen 72074, Germany
2Max Planck Institute for Biological Cybernetics, P.O. Box 21 69, Tübingen 72076, Germany
3Institute for Natural Language Processing, University of Stuttgart, Stuttgart 70174, Germany
4National Institute of Health (NIH), NINDS, Human Cortical Physiology, Bethesda 20892-1428, MD, USA
Received 28 February 2007; Revised 2 August 2007; Accepted 18 September 2007
Academic Editor: Shangkai Gao
Copyright © 2007 Ranganatha Sitaram et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citations to this Article [36 citations]
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- Anders Eklund, Henrik Ohlsson, Mats Andersson, Joakim Rydell, Anders Ynnerman, and Hans Knutsson, “Using real-time fMRI to control a dynamical system by brain activity classification,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5761, no. 1, pp. 1000–1008, 2009.
- Marcel Van Gerven, Jason Farquhar, Rebecca Schaefer, Rutger Vlek, Jeroen Geuze, Anton Nijholt, Nick Ramsey, Pim Haselager, Louis Vuurpijl, Stan Gielen, and Peter Desain, “The brain-computer interface cycle,” Journal of Neural Engineering, vol. 6, no. 4, 2009.
- Andrea Caria, Ranganatha Sitaram, Ralf Veit, Chiara Begliomini, and Niels Birbaumer, “Volitional Control of Anterior Insula Activity Modulates the Response to Av ersive Stimuli. A Real-Time Functional Magnetic Resonance Imaging Study,” Biological Psychiatry, vol. 68, no. 5, pp. 425–432, 2010.
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