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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.