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

摘要: Resting-state functional magnetic resonance imaging (rs-fMRI) is used to investigate synchronous activations in spatially distinct regions of the brain, which are thought reflect systems supporting cognitive processes. Analyses often performed using seed-based correlation analysis, allowing researchers explore connectivity between data a seed region and rest brain. Using scan–rescan rs-fMRI data, we how well subject-specific map from second replication study can be predicted first replication. We show that one dramatically improve prediction by borrowing strength group computed all other subjects study. Even more surprisingly, found provided better subject's than individual's own data. While further discussion experimentation required understand this practice, results indicate shrinkage-based methods borrow population mean should play role analysis.