@inproceedings{Miami1598,
   Author = {Deshpande, G. and LaConte, S. and Peltier, S. and Hu, X.},
   Title ={Evaluation of nonlinear functional connectivity using phase-space embedding},
   BookTitle = {Proceedings 13th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Miami},
   Pages = {1598},
   Abstract = {Existing methods for evaluating functional connectivity do not capture nonlinear correlations. This paper presents the application of phase-space embedding as a nonlinear approach for analyzing functional connectivity. Upon validation with simulated data, the method was applied to resting-state fMRI data. Time courses for five ROIs identified by an accompanying activation study were analyzed for connections between the primary motor cortex and other cortices.  The connections identified with the embedding exhibited more and different connections than those reported in the literature, possibly arising from nonlinear correlations. In comparison to linear correlation, the results are more robust to noise and display higher consistency across subjects.},
 Keywords = {Miami1598},
   Year = {2005} }