Alexander L. Cohen

TL;DR: In this article, the authors studied functional brain organization in healthy adults using resting state functional connectivity MRI and proposed two novel brain wide graphs, one of 264 putative functional areas, the other a modification of voxelwise networks that eliminates potentially artificial short-distance relationships.

TL;DR: The interactions of these regions are characterized by applying graph theory to resting state functional connectivity MRI data, suggesting the presence of two distinct task-control networks that appear to operate on different time scales and affect downstream processing via dissociable mechanisms.

TL;DR: Support vector machine-based multivariate pattern analysis extracts sufficient information from fcMRI data to make accurate predictions about individuals’ brain maturity across development, and prediction of individual brain maturity as a functional connectivity maturation index is allowed.

TL;DR: The control systems of the brain seem to embody the principles of complex systems, encouraging resilient performance in a group of regions associated with top-down control.

TL;DR: Over development, the organization of multiple functional networks shifts from a local anatomical emphasis in children to a more “distributed” architecture in young adults, and it is argued that this “local to distributed” developmental characterization has important implications for understanding the development of neural systems underlying cognition.