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Identifying reproducible individual differences in childhood functional brain networks: An ABCD study
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 co...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927479/ https://www.ncbi.nlm.nih.gov/pubmed/31614255 http://dx.doi.org/10.1016/j.dcn.2019.100706 |
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author | 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. |
author_facet | 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. |
author_sort | Marek, Scott |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6927479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69274792019-12-23 Identifying reproducible individual differences in childhood functional brain networks: An ABCD study 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. Dev Cogn Neurosci Flux 2018: Mechanisms of Learning & Plasticity 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. Elsevier 2019-09-19 /pmc/articles/PMC6927479/ /pubmed/31614255 http://dx.doi.org/10.1016/j.dcn.2019.100706 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Flux 2018: Mechanisms of Learning & Plasticity 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. Identifying reproducible individual differences in childhood functional brain networks: An ABCD study |
title | Identifying reproducible individual differences in childhood functional brain networks: An ABCD study |
title_full | Identifying reproducible individual differences in childhood functional brain networks: An ABCD study |
title_fullStr | Identifying reproducible individual differences in childhood functional brain networks: An ABCD study |
title_full_unstemmed | Identifying reproducible individual differences in childhood functional brain networks: An ABCD study |
title_short | Identifying reproducible individual differences in childhood functional brain networks: An ABCD study |
title_sort | identifying reproducible individual differences in childhood functional brain networks: an abcd study |
topic | Flux 2018: Mechanisms of Learning & Plasticity |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927479/ https://www.ncbi.nlm.nih.gov/pubmed/31614255 http://dx.doi.org/10.1016/j.dcn.2019.100706 |
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