Identifying reproducible individual differences in childhood functional brain networks: An ABCD study

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 EwingAdam T. Eggebrecht, Hugh Garavan, Anders M. Dale, Deanna J. Greene, Deanna M. Barch, Damien A. Fair, Beatriz Luna, Nico U.F. Dosenbach

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

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.

Original languageEnglish
Article number100706
JournalDevelopmental Cognitive Neuroscience
Volume40
DOIs
StatePublished - Dec 2019

Keywords

  • ABCD
  • Cognitive ability
  • Development
  • Functional connectivity
  • Reproducibility
  • Resting state fMRI

Fingerprint Dive into the research topics of 'Identifying reproducible individual differences in childhood functional brain networks: An ABCD study'. Together they form a unique fingerprint.

  • Cite this

    Marek, S., Tervo-Clemmens, B., Nielsen, A. N., Wheelock, M. D., Miller, R. L., Laumann, T. O., Earl, E., Foran, W. W., Cordova, M., Doyle, O., Perrone, A., Miranda-Dominguez, O., Feczko, E., Sturgeon, D., Graham, A., Hermosillo, R., Snider, K., Galassi, A., Nagel, B. J., ... Dosenbach, N. U. F. (2019). Identifying reproducible individual differences in childhood functional brain networks: An ABCD study. Developmental Cognitive Neuroscience, 40, [100706]. https://doi.org/10.1016/j.dcn.2019.100706