The Neonatal Connectome During Preterm Brain Development
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The human connectome is the result of an elaborate developmental trajectory. Acquiring diffusion-weighted imaging and resting-state fMRI, we studied connectome formation during the preterm phase of macroscopic connectome genesis. In total, 27 neonates were scanned at week 30 and/or week 40 gestational age (GA). Examining the architecture of the neonatal anatomical brain network revealed a clear presence of a small-world modular organization before term birth. Analysis of neonatal functional connectivity (FC) showed the early formation of resting-state networks, suggesting that functional networks are present in the preterm brain, albeit being in an immature state. Moreover, structural and FC patterns of the neonatal brain network showed strong overlap with connectome architecture of the adult brain (85 and 81%, respectively). Analysis of brain development between week 30 and week 40 GA revealed clear developmental effects in neonatal connectome architecture, including a significant increase in white matter microstructure (P < 0.01), small-world topology (P < 0.01) and interhemispheric FC (P < 0.01). Computational analysis further showed that developmental changes involved an increase in integration capacity of the connectivity network as a whole. Taken together, we conclude that hallmark organizational structures of the human connectome are present before term birth and subject to early development.
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The white-matter connectome at birth is highly organized and includes hub regions and connections similar to those observed in adults.
“Overall, the white-matter connectome at birth is highly organized and includes hub regions and connections that are similar to those observed in adults48,49.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [49]
We identified four functionally meaningful modules consistent with the findings of van den Heuvel et al.
“We identified four functionally meaningful modules consistent with the findings of van den Heuvel et al. 23.”
From Functional properties of resting state networks in healthy full-term newborns (2015) · cites this paper as [23]
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- Authors
- van den Heuvel, M. P., Kersbergen, K. J., de Reus, M. A., Keunen, K., Kahn, R. S., Groenendaal, F., de Vries, L. S., & Benders, M. J. N. L.
- Affiliations
- University Medical Center Utrecht (NL)
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-05-15
- Volume
- 25
- Issue
- 9
- Pages
- 3000-3013
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC4537441
- OpenAlex
- W2133182819
- Cited by
- 386
- References
- 121
- Citations by year
- 2026: 17 · 2025: 32 · 2024: 29 · 2023: 25 · 2022: 31 · 2021: 37 · 2020: 62 · 2019: 28 · 2018: 38 · 2017: 34 · 2016: 24 · 2015: 20 · 2014: 7 · 2012: 1
- FWCI
- 15.67
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- cc-by-nc
- Locations
- Cerebral Cortex (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, cc-by)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion, other-oa)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- 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
- small-world networks, resting-state functional connectivity, resting-state networks, white matter microstructure, interhemispheric functional connectivity, gestational age, diffusion-weighted imaging, resting-state fMRI
- MeSH terms
- Adult, Brain, Female, Gestational Age, Humans, Image Processing, Computer-Assisted, Infant, Newborn, Magnetic Resonance Imaging, Male, Neural Pathways, Oxygen, Diffusion Magnetic Resonance Imaging, Premature Birth, Young Adult, Connectome, White Matter
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