Jonathan D. Power

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: It is found that motion-induced signal changes are often complex and variable waveforms, often shared across nearly all brain voxels, and often persist more than 10s after motion ceases, which increase observed RSFC correlations in a distance-dependent manner.

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 work behind, and rationale for, decisions taken regarding the rfMRI data acquisition protocol and pre-processing pipelines are outlined, and some initial results showing data quality and example functional connectivity analyses are presented.