• Corpus ID: 55919705

fMRI-BCI: a Review

@inproceedings{DaHuan2009fMRIBCIAR,
  title={fMRI-BCI: a Review},
  author={Da-Huan and Li and Qin and Gao and Wei-Shuai and Lv and Hua-fu and Chen},
  year={2009}
}
Functional magnetic resonance imaging (fMRI) is a new tool for brain-computer interface (BCI). This paper presents an overview to fMRI-BCI. Our attention is mainly put on the methods of signal acquisition, signal preprocessing, and signal analysis of basic fMRI-BCI structure. The available softwares and the applications of fMRI-BCI are briefly introduced. At last, we suggest focusing on some technologies to make fMRI-BCI more perfect. 

Figures from this paper

Psychophysiology and Autonomic Responses Perspective for Advancing Hybrid Brain-Computer Interface Systems
TLDR
A range of biosignals including oxygen consumption, respiratory rate, heart rate, and skin resistance, which have strong potential for developing enhanced BCI devices either alone or in combination with other signals including electroencephalogram and near-infrared spectroscopy, through multisensor integration are identified.
CNN-based classification of fNIRS signals in motor imagery BCI system
TLDR
The results suggest that using the CNN-based TSC methods can significantly improve the BCI performance and also lay the foundation for the miniaturization and portability of training rehabilitation equipment.
Role of spatial representations, muscle force and joint angle in decoding hand kinematics from non-invasive electroencephalographic signals
TLDR
This research analyzed position, velocity and acceleration measures to understand how Bradberry’s decoder is decoding hand velocity from these representations; spatial position, muscle force and joint angle representations and found that position is the simple representation in EEG data, which Bradberry's decoder might be using to indirectly predict velocities.

References

SHOWING 1-10 OF 28 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.
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.
Applications of real-time fMRI
  • R. DeCharms
  • Psychology, Biology
    Nature Reviews Neuroscience
  • 2008
TLDR
Developments in neuroimaging are now being translated into many new potential practical applications, including the reading of brain states, brain–computer interfaces, communicating with locked-in patients, lie detection, and learning control over brain activation to modulate cognition or even treat disease.
Regulation of anterior insular cortex activity using real-time fMRI
Functional magnetic resonance imaging in real time (FIRE): Sliding‐window correlation analysis and reference‐vector optimization
TLDR
Based on the described correlation method, real‐time fMRI experiments using visual stimulation paradigms have been performed successfully on a clinical MR scanner, which was linked to an external workstation for image analysis.
Real-time functional magnetic resonance imaging.
TLDR
This work describes its preferred method of real-time functional MRI and some of the early results it has obtained with its use, as well as describing here the methods used for statistical processing of these image time series.
Compensation of Susceptibility-Induced BOLD Sensitivity Losses in Echo-Planar fMRI Imaging
TLDR
The results suggest that the compensation method allows for the detection of activation in brain areas which are usually unavailable for BOLD studies, even in the case of acceptable image intensities.
...
...