Graph theoretical analysis of developmental patterns of the white matter network
Open accessAbstract
Understanding the development of human brain organization is critical for gaining insight into how the enhancement of cognitive processes is related to the fine-tuning of the brain network. However, the developmental trajectory of the large-scale white matter (WM) network is not fully understood. Here, using graph theory, we examine developmental changes in the organization of WM networks in 180 typically-developing participants. WM networks were constructed using whole brain tractography and 78 cortical regions of interest were extracted from each participant. The subjects were first divided into 5 equal sample size (n = 36) groups (early childhood: 6.0-9.7 years; late childhood: 9.8-12.7 years; adolescence: 12.9-17.5 years; young adult: 17.6-21.8 years; adult: 21.9-29.6 years). Most prominent changes in the topological properties of developing brain networks occur at late childhood and adolescence. During late childhood period, the structural brain network showed significant increase in the global efficiency but decrease in modularity, suggesting a shift of topological organization toward a more randomized configuration. However, while preserving most topological features, there was a significant increase in the local efficiency at adolescence, suggesting the dynamic process of rewiring and rebalancing brain connections at different growth stages. In addition, several pivotal hubs were identified that are vital for the global coordination of information flow over the whole brain network across all age groups. Significant increases of nodal efficiency were present in several regions such as precuneus at late childhood. Finally, a stable and functionally/anatomically related modular organization was identified throughout the development of the WM network. This study used network analysis to elucidate the topological changes in brain maturation, paving the way for developing novel methods for analyzing disrupted brain connectivity in neurodevelopmental disorders.
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After birth until adulthood, the brain network reshapes to improve integration capacity, with decreased modularity and decreased small-worldness.
“After birth until adulthood, the brain network reshapes to improve integration capacity with the reconfigurations of decreased modularity and decreased small-worldness”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Chen et al., 2013
The Results (Global network properties and their age-related trajectories; page unavailable) report increased global efficiency and decreased modularity from early to late childhood, with both measures then stabilizing. The Results (Small-world efficiency of developing WM networks; page unavailable) show small-worldness values that fluctuate across age groups rather than a sustained decrease. The study begins at age 6, so it does not establish a trajectory from birth. (LLM, conf=0.88)
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- Authors
- Chen, Z., Liu, M., Gross, D. W., & Beaulieu, C.
- Affiliations
- University of Alberta (CA)
- Corresponding author
- Beaulieu, Christian
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2013
- Volume
- 7
- Pages
- 716-716
- ISSN
- 1662-5161 (ISSN-L)
- PMC
- PMC3814848
- OpenAlex
- W2157028610
- Cited by
- 77
- References
- 81
- Citations by year
- 2026: 6 · 2025: 3 · 2024: 1 · 2023: 7 · 2022: 10 · 2021: 3 · 2020: 9 · 2019: 3 · 2018: 11 · 2017: 8 · 2016: 9 · 2015: 4 · 2014: 3
- FWCI
- 2.93
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Human Neuroscience (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- China Scholarship Council
- Alberta Innovates
- Canadian Institutes of Health Research
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- white matter networks, brain development, structural connectivity, network topology, global efficiency, modularity, local efficiency, hub regions, nodal efficiency, precuneus, brain maturation, childhood, adolescence, neurodevelopmental disorders
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