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 - Funding Information:
This work was supported by the National Institutes of Mental Health , including T32 MH100019 (SM MDW), R01MH067924 (BL), R03MH113090 (BTC), K01MH103594 (ATE), U01DA041120 (DMB), NS088590 (NUFD), TR000448 (NUFD), R01 MH115357 (DAF), 1R25MH112473 (TOL), R01MH115357-02S1 (RH), K01MH104592 (DJG), U01 DA041148 (BJN, DAF, SWFE), U24 DA04112 (AMD), R01 MH096773 (DAF), R01 MH115357 (DAF), R01MH105538 (DAF), U01 DA041148 (BJN, DAF, SWFE), U24 DA04112 (AMD), 1P30NS098577 (to the Neuroimaging Informatics and Analysis Center), and HD087011 (to the Intellectual and Developmental Disabilities Research Center at Washington University); the Jacobs Foundation grant 2016121703 (NUFD); the Child Neurology Foundation (NUFD) ; the McDonnell Center for Systems Neuroscience (NUFD) ; the Mallinckrodt Institute of Radiology grant 14-011 (NUFD); the Hope Center for Neurological Disorders (NUFD) ; National Library of Medicine T15LM007088 (EF).
Funding Information:
This work was supported by the National Institutes of Mental Health, including T32 MH100019 (SM MDW), R01MH067924 (BL), R03MH113090 (BTC), K01MH103594 (ATE), U01DA041120 (DMB), NS088590 (NUFD), TR000448 (NUFD), R01 MH115357 (DAF), 1R25MH112473 (TOL), R01MH115357-02S1 (RH), K01MH104592 (DJG), U01 DA041148 (BJN, DAF, SWFE), U24 DA04112 (AMD), R01 MH096773 (DAF), R01 MH115357 (DAF), R01MH105538 (DAF), U01 DA041148 (BJN, DAF, SWFE), U24 DA04112 (AMD), 1P30NS098577 (to the Neuroimaging Informatics and Analysis Center), and HD087011 (to the Intellectual and Developmental Disabilities Research Center at Washington University); the Jacobs Foundation grant 2016121703 (NUFD); the Child Neurology Foundation (NUFD); the McDonnell Center for Systems Neuroscience (NUFD); the Mallinckrodt Institute of Radiology grant 14-011 (NUFD); the Hope Center for Neurological Disorders (NUFD); National Library of MedicineT15LM007088 (EF).
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 -