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Using Real-Time fMRI to Control a Dynamical System by Brain Activity Classification

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Bibtex entry

@INPROCEEDINGS{eoaryk209,
  author = {A. Eklund and H. Ohlsson and M. Andersson and J. Rydell and A. Ynnerman
	and H. Knutsson},
  title = {Using Real-Time fMRI to Control a Dynamical System by Brain Activity
	Classification},
  booktitle = {Proceedings of International Conference on Medical Image Computing
	and Computer-Assisted Intervention (MICCAI'09)},
  year = {2009},
  address = {London, UK},
  month = {September},
  publisher = {Springer},
  note = {Accepted},
  abstract = {We present a method for controlling a dynamical system using real-time
	fMRI. The objective for the subject in the MR scanner is to balance
	an inverted pendulum by activating the left or right hand or resting.
	The brain activity is classified each second by a neural network
	and the classification is sent to a pendulum simulator to change
	the force applied to the pendulum. The state of the inverted pendulum
	is shown to the subject in a pair of VR goggles. The subject was
	able to balance the inverted pendulum during several minutes, both
	with real activity and imagined activity. In each classification
	9000 brain voxels were used and the response time for the system
	to detect a change of activity was on average 2-4 seconds. The developments
	here have a potential to aid people with communication disabilities,
	such as locked in people. Another future potential application can
	be to serve as a tool for stroke and Parkinson patients to be able
	to train the damaged brain area and get real-time feedback for more
	efficient training.},
  owner = {andek},
  timestamp = {2009.08.13}
}