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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. Even more surprisingly, we found that the group correlation map provided a better prediction of a subject's connectivity than the individual's own data. While further discussion and experimentation are required to understand how this can be used in practice, results indicate that shrinkage-based methods that borrow strength from the population mean should play a role in rs-fMRI data analysis.

SUBMITTER: Shou H 

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

REPOSITORIES: biostudies-literature

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

Shou Haochang H   Eloyan Ani A   Nebel Mary Beth MB   Mejia Amanda A   Pekar James J JJ   Mostofsky Stewart S   Caffo Brian B   Lindquist Martin A MA   Crainiceanu Ciprian M CM  

NeuroImage 20140529


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-base  ...[more]

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