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 (US)
Pages (from-to)100706
JournalDevelopmental Cognitive Neuroscience
Volume40
DOIs
StatePublished - Dec 2019
Externally publishedYes

Bibliographical note

Copyright © 2019 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Keywords

  • Brain/pathology
  • Brain Mapping/methods
  • Child
  • Female
  • Humans
  • Individuality
  • Magnetic Resonance Imaging/methods
  • Male

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

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