A DTI-based template-free cortical connectome study of brain maturation
Open accessAbstract
Improved understanding of how the human brain is "wired" on a macroscale may now be possible due to the emerging field of MRI connectomics. However, mapping the rapidly developing infant brain networks poses challenges. In this study, we applied an automated template-free "baby connectome" framework using diffusion MRI to non-invasively map the structural brain networks in subjects of different ages, including premature neonates, term-born neonates, six-month-old infants, and adults. We observed increasing brain network integration and decreasing segregation with age in term-born subjects. We also explored how the equal area nodes can be grouped into modules without any prior anatomical information--an important step toward a fully network-driven registration and analysis of brain connectivity.
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Fetal brain structural connectivity shows adult-like topological organization, including significant small-world, modular, and rich-club organization, during the middle to final trimester of gestation.
“Many studies have discovered largely adult-like topological structures including significant small-world, modular, and rich-club organization during the middle to final trimester of gestation”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Tymofiyeva et al., 2013
The Results (Changes in Global Topological Properties with Age) report small-world properties at all studied ages and assess modularity. But the study examined premature and term-born neonates, infants, and adults—not fetuses during gestation—and the cited passages do not establish rich-club organization or statistical significance for every claimed property. (LLM, conf=0.86)
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Cites
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Rich-club organization of the newborn human brain
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“Many studies have discovered largely adult-like topological structures including significant small-world, modular, and richclub organization during the middle to final trimester of gestation [51, 420, 460, 463, 549], which reveals that the whole brain tract network is already highly efficient and specialized”
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- Authors
- Tymofiyeva, O., Hess, C. P., Ziv, E., Lee, P. N., Glass, H. C., Ferriero, D. M., Barkovich, A. J., & Xu, D.
- Affiliations
- University of California, San Francisco (US)
- Corresponding author
- Tymofiyeva, Olga
- Hess, Christopher P.
- Ziv, Etay
- Lee, Patricia N.
- Glass, Hannah C.
- Ferriero, Donna M.
- Barkovich, A. James
- Xu, Duan
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-05-13
- Volume
- 8
- Issue
- 5
- Pages
- e63310
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3652871
- OpenAlex
- W2004056475
- Cited by
- 86
- References
- 5
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 3 · 2023: 5 · 2022: 7 · 2021: 5 · 2020: 10 · 2019: 1 · 2018: 11 · 2017: 7 · 2016: 8 · 2015: 4 · 2014: 8 · 2013: 2
- FWCI
- 5.69
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (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)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- National Institutes of Health (NS35902)
- University of California, San Francisco (UL1RR024131)
- National Institute of Neurological Disorders and Stroke (R01 NS35902, R01NS046432, NS46432, P50NS035902, K23NS066137)
- National Institute of Biomedical Imaging and Bioengineering (R01EB009756, EB009756)
- National Center for Research Resources (UL1RR024131)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD072074)
- 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
- cortical connectome, brain maturation, diffusion MRI, preterm infants, network integration and segregation, network modules, structural brain connectivity
- MeSH terms
- Adult, Aging, Cerebral Cortex, Female, Humans, Infant, Infant, Newborn, Infant, Premature, Male, Neural Pathways, Diffusion Magnetic Resonance Imaging, Connectome
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