Identifying reproducible individual differences in childhood functional brain networks: An ABCD study. (December 2019)
- Record Type:
- Journal Article
- Title:
- Identifying reproducible individual differences in childhood functional brain networks: An ABCD study. (December 2019)
- Main Title:
- Identifying reproducible individual differences in childhood functional brain networks: An ABCD study
- Authors:
- Marek, Scott
Tervo-Clemmens, Brenden
Nielsen, Ashley N.
Wheelock, Muriah D.
Miller, Ryland L.
Laumann, Timothy O.
Earl, Eric
Foran, William W.
Cordova, Michaela
Doyle, Olivia
Perrone, Anders
Miranda-Dominguez, Oscar
Feczko, Eric
Sturgeon, Darrick
Graham, Alice
Hermosillo, Robert
Snider, Kathy
Galassi, Anthony
Nagel, Bonnie J.
Ewing, Sarah W. Feldstein
Eggebrecht, Adam T.
Garavan, Hugh
Dale, Anders M.
Greene, Deanna J.
Barch, Deanna M.
Fair, Damien A.
Luna, Beatriz
Dosenbach, Nico U.F. - Abstract:
- 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.
- Is Part Of:
- Developmental cognitive neuroscience. Volume 40(2019)
- Journal:
- Developmental cognitive neuroscience
- Issue:
- Volume 40(2019)
- Issue Display:
- Volume 40, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 40
- Issue:
- 2019
- Issue Sort Value:
- 2019-0040-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-12
- Subjects:
- ABCD -- Resting state fMRI -- Functional connectivity -- Development -- Cognitive ability -- Reproducibility
Cognitive neuroscience -- Periodicals
Developmental neurobiology -- Periodicals
Neuropsychology -- Periodicals
Neuropsychiatry -- Periodicals
612.8233 - Journal URLs:
- http://www.sciencedirect.com/ ↗
- DOI:
- 10.1016/j.dcn.2019.100706 ↗
- Languages:
- English
- ISSNs:
- 1878-9293
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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