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• W2008970451 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." @default.
• W2008970451 created "2016-06-24" @default.
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• W2008970451 date "2014-11-01" @default.
• W2008970451 modified "2023-10-13" @default.
• W2008970451 title "Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI" @default.
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• W2008970451 doi "https://doi.org/10.1016/j.neuroimage.2014.05.043" @default.
• W2008970451 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4247825" @default.
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