fMRI Brain-Computer Interfaces

@article{Sitaram2008fMRIBI,
  title={fMRI Brain-Computer Interfaces},
  author={Ranganatha Sitaram and Nikolaus Weiskopf and Andrea Caria and Ralf Veit and Michael Erb and Niels Birbaumer},
  journal={IEEE Signal Processing Magazine},
  year={2008},
  volume={25},
  pages={95-106}
}
Brain-computer interfaces based on fMRI enable real-time feedback of circumscribed brain regions to learn volitional regulation of those regions. This is an emerging field of intense research, with potential for multiple applications in neuroscientific research in brain plasticity and reorganization, movement restoration due to stroke, clinical rehabilitation of emotional disorders, quality assurance of fMRI experiments, and teaching functional imaging. This article presents a general… 
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References

SHOWING 1-10 OF 53 REFERENCES
Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI)
TLDR
A fMRI-based BCI which performs data processing and feedback of the hemodynamic brain activity within 1.3 s is presented, which allows for studying behavioral effects and strategies of local self-regulation in healthy and diseased subjects.
Functional MRI for neurofeedback: feasibility studyon a hand motor task
TLDR
An fMRI-based method that enables subjects to monitor and actively modulate their own brain activity as a form of biofeedback and suggests that the visual feedback of the functional brain activation maps guided subjects to adjust their task performance to achieve the desired modulation of cortical activity.
An EEG-driven brain-computer interface combined with functional magnetic resonance imaging (fMRI)
TLDR
The thought translation device is a brain-computer interface that was developed for training and application of SCP self-regulation and was combined with functional magnetic resonance imaging to investigate the neurophysiological mechanisms of SCP regulation.
Brain–computer interface using fMRI: spatial navigation by thoughts
TLDR
The proposed fMRI-BCI method allowed volunteer subjects to navigate through a simple 2D maze solely through their thought processes and was able to be translated into predetermined computer commands for moving four directional cursors.
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