Abstract #3131

Mapping of phase-space dynamics for fMRI data

Zhenhai Zhang¹, Kaiming Li², and Xiaoping Hu²

¹Department of Electrical and Computer Engineering, University of California,Riverside, Riverside, CA, United States, ²Department of Bioengineering, University of California,Riverside, Riverside, CA, United States

This work aims to map the dynamics of resting state fMRI data. With phase space embedding, we reconstructed the phase portrait of BOLD signal and calculated the sum of the length of the edges of the convex hull to capture the dynamics of fMRI BOLD time courses. Our statistical parametric maps on multiple datasets of mental disorder suggest that SE could be a viable disease biomarker.

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