Abstract:
We present a robust method for ranking the outcome of independent component analysis (ICA) of event-related fMRI data based on canonical correlation analysis. The new method works by observing the correlation between the initial components and a special function derived from the activation paradigm to order the resultant components.
Reference:
abstract Y. Tamer, S. LaConte, X. Hu, Y. Kadah. Robust Ordering of Independent Components for Temporal Event-Related fMRI Data Analysis. In Proceedings 11th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Toronto, page 490, 2003. [bibtex]
Bibtex Entry:
@inproceedings{Toronto490,
Author = {Tamer, Y. and LaConte, S. and Hu, X. and Kadah, Y.},
Title ={Robust Ordering of Independent Components for Temporal Event-Related f{M}{R}{I} Data Analysis},
BookTitle = {Proceedings 11th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Toronto},
Pages = {490},
Abstract = {We present a robust method for ranking the outcome of independent component analysis (ICA) of event-related fMRI data based on canonical correlation analysis. The new method works by observing the correlation between the initial components and a special function derived from the activation paradigm to order the resultant components.},
Keywords = {Toronto490},
Year = {2003} }