Abstract
Distant brain regions are organized into large-scale functional networks specialized for specific cognitive processes. The brain’s functional-network architecture and its development can be investigated using functional connectivity MRI (fcMRI), which measures correlations in spontaneous fluctuations of brain activity. fcMRI studies have provided important insights into typical brain organization and development, as well as insights into the atypical organization of the brain in neuropsychiatric disorders. fcMRI data can be easily collected and carry much information. Therefore, they are now being analyzed using powerful multivariate-pattern-analysis (MVPA) methods, with the goal of one day being able to diagnose disease states in individuals. However, great care must be taken during these analyses to eliminate confounds such as head movement.
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