Cited by 222Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesComplex Network Analysis Techniques

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Development of brain structural connectivity between ages 12 and 30: A 4-Tesla diffusion imaging study in 439 adolescents and adults

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Dennis, Emily L., Jahanshad, Neda, McMahon, Katie L., de Zubicaray, Greig I., Martin, Nicholas G., Hickie, Ian B., Toga, Arthur W., Wright, Margaret J., Thompson, Paul M.·2013·NeuroImage

DOI 10.1016/j.neuroimage.2012.09.004PMC PMC3603574

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Abstract

Understanding how the brain matures in healthy individuals is critical for evaluating deviations from normal development in psychiatric and neurodevelopmental disorders. The brain's anatomical networks are profoundly re-modeled between childhood and adulthood, and diffusion tractography offers unprecedented power to reconstruct these networks and neural pathways in vivo. Here we tracked changes in structural connectivity and network efficiency in 439 right-handed individuals aged 12 to 30 (211 female/126 male adults, mean age=23.6, SD=2.19; 31 female/24 male 12 year olds, mean age=12.3, SD=0.18; and 25 female/22 male 16 year olds, mean age=16.2, SD=0.37). All participants were scanned with high angular resolution diffusion imaging (HARDI) at 4 T. After we performed whole brain tractography, 70 cortical gyral-based regions of interest were extracted from each participant's co-registered anatomical scans. The proportion of fiber connections between all pairs of cortical regions, or nodes, was found to create symmetric fiber density matrices, reflecting the structural brain network. From those 70 × 70 matrices we computed graph theory metrics characterizing structural connectivity. Several key global and nodal metrics changed across development, showing increased network integration, with some connections pruned and others strengthened. The increases and decreases in fiber density, however, were not distributed proportionally across the brain. The frontal cortex had a disproportionate number of decreases in fiber density while the temporal cortex had a disproportionate number of increases in fiber density. This large-scale analysis of the developing structural connectome offers a foundation to develop statistical criteria for aberrant brain connectivity as the human brain matures.

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Authors: Dennis, E. L., Jahanshad, N., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Hickie, I. B., Toga, A. W., Wright, M. J., & Thompson, P. M.
Affiliations: University of California, Los Angeles (US)
The University of Queensland (AU)
QIMR Berghofer Medical Research Institute (AU)
The University of Sydney (AU)
Corresponding author: Thompson, Paul M.
ORCID: Dennis, Emily L.
Jahanshad, Neda
McMahon, Katie L.
de Zubicaray, Greig I.
Martin, Nicholas G.
Hickie, Ian B.
Toga, Arthur W.
Wright, Margaret J.
Thompson, Paul M.
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2013-01
Volume: 64
Pages: 671-684
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2012.09.004
PMC: PMC3603574
OpenAlex: W1859137208
Cited by: 222
References: 75
Citations by year: 2026: 11 · 2025: 11 · 2024: 15 · 2023: 8 · 2022: 13 · 2021: 9 · 2020: 23 · 2019: 13 · 2018: 14 · 2017: 25 · 2016: 22 · 2015: 18 · 2014: 23 · 2013: 16
FWCI: 14.01
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
QUT ePrints (Queensland University of Technology) (submittedVersion)
Faculty of Health; Institute of Health and Biomedical Innovation
Funders: National Health and Medical Research Council (1009064, 389875, 486682)
U.S. National Library of Medicine (T15 LM07356)
National Institute of Child Health and Human Development (R01 HD050735)
National Institutes of Health (T32MH073526-06, P41 RR013642, EB008432, EB008281, EB007813)
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Keywords: structural brain connectivity, brain maturation, structural connectome, network metrics, fiber density, cortical networks, frontal cortex, temporal cortex, adolescents, young adults, tractography
MeSH terms: Adolescent, Adult, Aging, Algorithms, Cerebral Cortex, Child, Female, Humans, Image Interpretation, Computer-Assisted, Male, Nerve Fibers, Myelinated, Sensitivity and Specificity, Reproducibility of Results, Young Adult, Diffusion Tensor Imaging, Connectome

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Development of brain structural connectivity between ages 12 and 30: A 4-Tesla diffusion imaging study in 439 adolescents and adults

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