Abstract:
We introduce the delta-epsilon method from the field of non-linear dynamics for studying functional connectivity. The method was applied to baseline data in the primary motor area. This method is more robust to noise and finite data sets than traditional measures such as correlation dimension and Lyapunov exponents and may be useful for examining temporal characteristics of fMRI data.
Reference:
abstract S. LaConte, S.-C. Ngan, J. Zhuang, K. Heberlein, S. Peltier, X. Hu. Dynamical determinism related to functional connectivity in fMRI baseline time series. In Proceedings 11th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Toronto, page 1778, 2003. [bibtex]
Bibtex Entry:
@inproceedings{Toronto1778,
Author = {LaConte, S. and Ngan, S.-C. and Zhuang, J. and Heberlein, K. and Peltier, S. and Hu, X.},
Title ={Dynamical determinism related to functional connectivity in f{M}{R}{I} baseline time series},
BookTitle = {Proceedings 11th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Toronto},
Pages = {1778},
Abstract = {We introduce the delta-epsilon method from the field of non-linear dynamics for studying functional connectivity. The method was applied to baseline data in the primary motor area. This method is more robust to noise and finite data sets than traditional measures such as correlation dimension and Lyapunov exponents and may be useful for examining temporal characteristics of fMRI data.},
Keywords = {Toronto1778},
Year = {2003} }