Partially Localized FMRI Connectivity Analyses
Yi Zhao
Co-Author
Indiana 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.
fMRI
connectivity
connectomics
Main Sponsor
Section on Statistics in Imaging
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