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Partially Localized FMRI Connectivity Analyses

Brian Caffo Co-Author
Johns Hopkins University
 
Yi Zhao Co-Author
Indiana University
 
Martin Lindquist Co-Author
Johns Hopkins University
 
Bonnie Smith First Author
Johns Hopkins University, School of Public Health
 
Bonnie Smith Presenting Author
Johns Hopkins University, School of Public Health
 
Monday, Aug 5: 9:20 AM - 9:35 AM
3555 
Contributed Papers 
Oregon Convention Center 
We propose analyses of resting-state fMRI data that use partial location information of regions of interest (ROIs). In particular we consider subject-level regression models to explain intra-subject variability in brain functional connectivity and summarize connectivity parsimoniously, and we investigate approaches based on distributions of connectivity values. We apply our approach to Human Connectome Project data.

Keywords

fMRI

connectivity

connectomics 

Main Sponsor

Section on Statistics in Imaging