Identifying Reproducible Individual Differences in Childhood Functional Brain Networks: An ABCD Study

Publication date: Available online 19 September 2019Source: Developmental Cognitive NeuroscienceAuthor(s): Scott Marek, Brenden Tervo-Clemmens, Ashley N. Nielsen, Muriah D. Wheelock, Ryland L. Miller, Timothy O. Laumann, Eric Earl, William W. Foran, Michaela Cordova, Olivia Doyle, Anders Perrone, Oscar Miranda-Dominguez, Eric Feczko, Darrick Sturgeon, Alice Graham, Robert Hermosillo, Kathy Snider, Anthony Galassi, Bonnie J. Nagel, Sarah W. Feldstein EwingAbstractThe 21-site Adolescent Brain Cognitive Development (ABCD) study provides an unparalleled opportunity to characterize functional brain development via resting-state functional connectivity (RSFC) and to quantify relationships between RSFC and behavior. This multi-site data set includes potentially confounding sources of variance, such as differences between data collection sites and/or scanner manufacturers, in addition to those inherent to RSFC (e.g., head motion). The ABCD project provides a framework for characterizing and reproducing RSFC and RSFC-behavior associations, while quantifying the extent to which sources of variability bias RSFC estimates. We quantified RSFC and functional network architecture in 2,188 9-10-year old children from the ABCD study, segregated into demographically-matched discovery (N = 1,166) and replication datasets (N = 1,022). We found RSFC and network architecture to be highly reproducible across children. We did not observe strong effects of site; however, scanner manufacturer ...
Source: Developmental Cognitive Neuroscience - Category: Neuroscience Source Type: research