Dev-Atlas: A reference atlas of functional brain networks for typically developing adolescents

It is well accepted that the brain is functionally organized into multiple networks and extensive literature has demonstrated that the organization of these networks shows major changes during adolescence. Yet, there is limited option for a reference functional brain atlas derived from typically-developing adolescents, which is problematic as the reliable identification of functional brain networks crucially depends on the use of such reference functional atlases. In this context, we utilized resting-state functional MRI data from 1391 typically-developing youth aged 8-17 years to create an adolescent-specific reference atlas of functional brain networks. We further investigated the impact of age and sex on these networks. Using a multiscale individual component clustering algorithm, we identified 24 reliable functional brain networks, classified within six domains: Default-Mode (5 networks), Control (4 networks), Salience (3 networks), Attention (4 networks), Somatomotor (5 networks), and Visual (3 networks). We identified reliable and large effects of age on the spatial topography of these majority of networks, as well as on the functional network connectivity. Sex effects were not as widespread. We created a novel brain atlas, named Dev-Atlas, focused on a typically-developing sample, with the hope that this atlas can be used in future developmental neuroscience studies.

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Publication Details

Journal
Developmental Cognitive Neuroscience
Published
2025-02-07
DOI
https://doi.org/10.1016/j.dcn.2025.101523
Citations
5
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
7.16

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article

Dev-Atlas: A reference atlas of functional brain networks for typically developing adolescents

Vince D. Calhoun, Danielle L. Rice, K. Myers, Gaëlle E. Doucet et al.
5 citations
Developmental Cognitive Neuroscience
Functional Brain Connectivity Studies
7.16
article

Dev-Atlas: A reference atlas of functional brain networks for typically developing adolescents

Vince D. Calhoun, Danielle L. Rice, K. Myers, Gaëlle E. Doucet, Tony W. Wilson, Lucina Q. Uddin, Grace C Ende, Callum Goldsmith, Marc Joliot, Derek J. Pavelka
article en
5 citations

Abstract

It is well accepted that the brain is functionally organized into multiple networks and extensive literature has demonstrated that the organization of these networks shows major changes during adolescence. Yet, there is limited option for a reference functional brain atlas derived from typically-developing adolescents, which is problematic as the reliable identification of functional brain networks crucially depends on the use of such reference functional atlases. In this context, we utilized resting-state functional MRI data from 1391 typically-developing youth aged 8-17 years to create an adolescent-specific reference atlas of functional brain networks. We further investigated the impact of age and sex on these networks. Using a multiscale individual component clustering algorithm, we identified 24 reliable functional brain networks, classified within six domains: Default-Mode (5 networks), Control (4 networks), Salience (3 networks), Attention (4 networks), Somatomotor (5 networks), and Visual (3 networks). We identified reliable and large effects of age on the spatial topography of these majority of networks, as well as on the functional network connectivity. Sex effects were not as widespread. We created a novel brain atlas, named Dev-Atlas, focused on a typically-developing sample, with the hope that this atlas can be used in future developmental neuroscience studies.

Developmental Cognitive NeuroscienceVol. 72
Centre National de la Recherche Scientifique (FR), Georgia Institute of Technology (US), Boys Town (US), Emory University (US), University of California, Los Angeles (US), Georgia State University (US), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Institut des Maladies Neurodégénératives (FR), Boys Town National Research Hospital (US), Center for Translational Research in Neuroimaging and Data Science (US)
National Institute of Mental Health, National Institute of General Medical Sciences
Openalex Percentile: Top 3%
Functional Brain Connectivity Studies
7.16
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