Enabling Bio-Feedback using Real-Time fMRI
2008 (English)In: 47th IEEE Conference on Decision and Control, 2008, CDC 2008, IEEE , 2008, 3336-3341 p.Conference paper (Refereed)
Despite the enormous complexity of the human mind, fMRI techniques are able to partially observe the state of a brain in action. In this paper we describe an experimental setup for real-time fMRI in a bio-feedback loop. One of the main challenges in the project is to reach a detection speed, accuracy and spatial resolution necessary to attain sufficient bandwidth of communication to close the bio-feedback loop. To this end we have banked on our previous work on real-time filtering for fMRI and system identification, which has been tailored for use in the experiment setup. In the experiments presented the system is trained to estimate where a person in the MRI scanner is looking from signals derived from the visual cortex only. We have been able to demonstrate that the user can induce an action and perform simple tasks with her mind sensed using real-time fMRI. The technique may have several clinical applications, for instance to allow paralyzed and "locked in" people to communicate with the outside world. In the meanwhile, the need for improved fMRI performance and brain state detection poses a challenge to the signal processing community. We also expect that the setup will serve as an invaluable tool for neuro science research in general.
Place, publisher, year, edition, pages
IEEE , 2008. 3336-3341 p.
, IEEE Conference on Decision and Control. Proceedings, ISSN 0191-2216
fMRI, System identification, Bio-feedback
National CategoryEngineering and Technology Control Engineering
IdentifiersURN: urn:nbn:se:liu:diva-44641DOI: 10.1109/CDC.2008.4738759ISI: 000307311603077Local ID: 77222ISBN: 978-1-4244-3123-6ISBN: e-978-1-4244-3124-3OAI: oai:DiVA.org:liu-44641DiVA: diva2:265503
47th IEEE Conference on Decision and Control, Cancun, Mexico, December, 2008
©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Henrik Ohlsson, Joakim Rydell, Anders Brun, Jacob Roll, Mats Andersson, Anders Ynnerman and Hans Knutsson, Enabling Bio-Feedback Using Real-Time fMRI, 2008, Proceedings of the 47th IEEE Conference on Decision and Control, 2008, 3336.2009-10-102009-10-102015-10-08Bibliographically approved