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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
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.
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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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