Brain-Computer Interfaces: Towards Practical Implementations and Potential ApplicationsView this Special Issue
Review Article | Open Access
Ranganatha Sitaram, Andrea Caria, Ralf Veit, Tilman Gaber, Giuseppina Rota, Andrea Kuebler, Niels Birbaumer, "fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment", Computational Intelligence and Neuroscience, vol. 2007, Article ID 025487, 10 pages, 2007. https://doi.org/10.1155/2007/25487
fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment
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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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.