Logothetis, 08) and may reflect a brain region's level of local processing (Attwell and Iadecola, 02)Or using multivariate methods, such as independent component analysis (ICA) ICA is a useful datadriven tool, but reproducibility issues complicate group inferences based onSeedbased connectivity metrics characterize the connectivity patterns with a predefined seed or ROI (Region of Interest) These metrics are often used when researchers are interested in one, or a few, individual regions and would like to analyze in detail the connectivity patterns between these areas and the rest of the brain
Fsl Fmri Resting State Seed Based Connectivity Neuroimaging Core 0 1 1 Documentation
