Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI.

ABSTRACT: Resting-state functional magnetic resonance imaging (rs-fMRI) is used to investigate synchronous activations in spatially distinct regions of the brain, which are thought to reflect functional systems supporting cognitive processes. Analyses are often performed using seed-based correlation analysis, allowing researchers to explore functional connectivity between data in a seed region and the rest of the brain. Using scan-rescan rs-fMRI data, we investigate how well the subject-specific seed-based correlation map from the second replication of the study can be predicted using data from the first replication. We show that one can dramatically improve prediction of subject-specific connectivity by borrowing strength from the group correlation map computed using all other subjects in the study

SUBMITTER: Shou H 

PROVIDER: S-EPMC4247825 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature