TY - JOUR
T1 - Identifying reproducible individual differences in childhood functional brain networks
T2 - An ABCD study
AU - Marek, Scott
AU - Tervo-Clemmens, Brenden
AU - Nielsen, Ashley N.
AU - Wheelock, Muriah D.
AU - Miller, Ryland L.
AU - Laumann, Timothy O.
AU - Earl, Eric
AU - Foran, William W.
AU - Cordova, Michaela
AU - Doyle, Olivia
AU - Perrone, Anders
AU - Miranda-Dominguez, Oscar
AU - Feczko, Eric
AU - Sturgeon, Darrick
AU - Graham, Alice
AU - Hermosillo, Robert
AU - Snider, Kathy
AU - Galassi, Anthony
AU - Nagel, Bonnie J.
AU - Ewing, Sarah W.Feldstein
AU - Eggebrecht, Adam T.
AU - Garavan, Hugh
AU - Dale, Anders M.
AU - Greene, Deanna J.
AU - Barch, Deanna M.
AU - Fair, Damien A.
AU - Luna, Beatriz
AU - Dosenbach, Nico U.F.
N1 - Publisher Copyright:
© 2019 The Author(s)
PY - 2019/12
Y1 - 2019/12
N2 - The 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 effects were large, reproducible, and followed a “short-to-long” association with distance between regions. Accounting for potential confounding variables, we replicated that RSFC between several higher-order networks was related to general cognition. In sum, we provide a framework for how to characterize RSFC-behavior relationships in a rigorous and reproducible manner using the ABCD dataset and other large multi-site projects.
AB - The 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 effects were large, reproducible, and followed a “short-to-long” association with distance between regions. Accounting for potential confounding variables, we replicated that RSFC between several higher-order networks was related to general cognition. In sum, we provide a framework for how to characterize RSFC-behavior relationships in a rigorous and reproducible manner using the ABCD dataset and other large multi-site projects.
KW - ABCD
KW - Cognitive ability
KW - Development
KW - Functional connectivity
KW - Reproducibility
KW - Resting state fMRI
UR - http://www.scopus.com/inward/record.url?scp=85073073489&partnerID=8YFLogxK
U2 - 10.1016/j.dcn.2019.100706
DO - 10.1016/j.dcn.2019.100706
M3 - Article
C2 - 31614255
AN - SCOPUS:85073073489
SN - 1878-9293
VL - 40
JO - Developmental Cognitive Neuroscience
JF - Developmental Cognitive Neuroscience
M1 - 100706
ER -