Abstract:
In this work, we apply an online clustering algorithm to detect both task-related activation and low frequency resting state functional connectivity in real time. This allows both the online model-free detection of activation, and expands connectivity analysis to allow online detection of resting state brain networks.
Reference:
abstract S. Peltier, S. LaConte, X. Hu. Online model-free detection of fMRI signals: Application to task activation and resting state functional connectivity. In Proceedings 12th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Kyoto, page 2552, 2004. [bibtex]
Bibtex Entry:
@inproceedings{Kyoto2552,
Author = {Peltier, S. and LaConte, S. and Hu, X.},
Title ={Online model-free detection of f{M}{R}{I} signals: Application to task activation and resting state functional connectivity},
BookTitle = {Proceedings 12th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Kyoto},
Pages = {2552},
Abstract = {In this work, we apply an online clustering algorithm to detect both task-related activation and low frequency resting state functional connectivity in real time. This allows both the online model-free detection of activation, and expands connectivity analysis to allow online detection of resting state brain networks.},
Keywords = {Kyoto2552},
Year = {2004} }