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The Neonatal Connectome During Preterm Brain Development.

van den Heuvel MP, Kersbergen KJ, de Reus MA, Keunen K, Kahn RS, Groenendaal F, de Vries LS, Benders MJ - Cereb. Cortex (2014)

Bottom Line: The human connectome is the result of an elaborate developmental trajectory.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).Taken together, we conclude that hallmark organizational structures of the human connectome are present before term birth and subject to early development.

View Article: PubMed Central - PubMed

Affiliation: Department of Psychiatry, Wilhelmina Children's Hospital, University Medical Center Utrecht, The Netherlands Brain Center Rudolf Magnus, The Netherlands.

No MeSH data available.


Development of network characteristics. Figure shows individual levels of several network characteristics of the (unweighted) structural neonatal brain network between 30 and 40 weeks gestational age (GA). (a) The level of clustering C was found to significantly increase over time. Furthermore, the level of path length L was found to decrease over time, indicating the formation of shorter communication pathways in the neonatal brain. (b) The increase in clustering and decrease in path length resulted in a significant increase in small-world topology of the neonatal brain between week 30 and week 40. Neonatal development was also found to involve an increase in network modularity, suggesting a sharper definition of structural modules in the neonatal brain over time. (c) Hub nodes (see Materials and Methods, and Fig. 1) in the neonatal brain network were only found to show, at best, a marginal increase in centrality over time. This effect was not significant (P = 0.13 ns). (d) The level of Integration Capacity (as estimated by mathematical modeling on basis of the structural connectivity network) was found to increase between week 30 and week 40 GA.
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BHU095F5: Development of network characteristics. Figure shows individual levels of several network characteristics of the (unweighted) structural neonatal brain network between 30 and 40 weeks gestational age (GA). (a) The level of clustering C was found to significantly increase over time. Furthermore, the level of path length L was found to decrease over time, indicating the formation of shorter communication pathways in the neonatal brain. (b) The increase in clustering and decrease in path length resulted in a significant increase in small-world topology of the neonatal brain between week 30 and week 40. Neonatal development was also found to involve an increase in network modularity, suggesting a sharper definition of structural modules in the neonatal brain over time. (c) Hub nodes (see Materials and Methods, and Fig. 1) in the neonatal brain network were only found to show, at best, a marginal increase in centrality over time. This effect was not significant (P = 0.13 ns). (d) The level of Integration Capacity (as estimated by mathematical modeling on basis of the structural connectivity network) was found to increase between week 30 and week 40 GA.

Mentions: Next, we examined the effects of white matter changes on the development of the topological properties of the brain's network circuitry. A positive increase in clustering coefficient C was observed (r = 0.78, P < 0.001, Fig. 5a), together with shorter communication pathways, as shown by a decrease in total path length L (r = 0.83, P < 0.001, Fig. 5a). Normalized to the organization of a set of 1000 random networks, white matter development coincided with an increase in the overall small-world organization of the network (r = 0.47, P = 0.006, Fig. 5b), suggestive of the growth of the neonatal connectome to a more overall efficient organization during development. In addition, coinciding with the increase in clustering, also the level of modularity of the network was found to increase between 30 and 40 weeks (r = 0.50, P = 0.0037, Fig. 5b). The tests of C, L, and SW survived Bonferroni correction for multiple testing.Figure 5.


The Neonatal Connectome During Preterm Brain Development.

van den Heuvel MP, Kersbergen KJ, de Reus MA, Keunen K, Kahn RS, Groenendaal F, de Vries LS, Benders MJ - Cereb. Cortex (2014)

Development of network characteristics. Figure shows individual levels of several network characteristics of the (unweighted) structural neonatal brain network between 30 and 40 weeks gestational age (GA). (a) The level of clustering C was found to significantly increase over time. Furthermore, the level of path length L was found to decrease over time, indicating the formation of shorter communication pathways in the neonatal brain. (b) The increase in clustering and decrease in path length resulted in a significant increase in small-world topology of the neonatal brain between week 30 and week 40. Neonatal development was also found to involve an increase in network modularity, suggesting a sharper definition of structural modules in the neonatal brain over time. (c) Hub nodes (see Materials and Methods, and Fig. 1) in the neonatal brain network were only found to show, at best, a marginal increase in centrality over time. This effect was not significant (P = 0.13 ns). (d) The level of Integration Capacity (as estimated by mathematical modeling on basis of the structural connectivity network) was found to increase between week 30 and week 40 GA.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

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getmorefigures.php?uid=PMC4537441&req=5

BHU095F5: Development of network characteristics. Figure shows individual levels of several network characteristics of the (unweighted) structural neonatal brain network between 30 and 40 weeks gestational age (GA). (a) The level of clustering C was found to significantly increase over time. Furthermore, the level of path length L was found to decrease over time, indicating the formation of shorter communication pathways in the neonatal brain. (b) The increase in clustering and decrease in path length resulted in a significant increase in small-world topology of the neonatal brain between week 30 and week 40. Neonatal development was also found to involve an increase in network modularity, suggesting a sharper definition of structural modules in the neonatal brain over time. (c) Hub nodes (see Materials and Methods, and Fig. 1) in the neonatal brain network were only found to show, at best, a marginal increase in centrality over time. This effect was not significant (P = 0.13 ns). (d) The level of Integration Capacity (as estimated by mathematical modeling on basis of the structural connectivity network) was found to increase between week 30 and week 40 GA.
Mentions: Next, we examined the effects of white matter changes on the development of the topological properties of the brain's network circuitry. A positive increase in clustering coefficient C was observed (r = 0.78, P < 0.001, Fig. 5a), together with shorter communication pathways, as shown by a decrease in total path length L (r = 0.83, P < 0.001, Fig. 5a). Normalized to the organization of a set of 1000 random networks, white matter development coincided with an increase in the overall small-world organization of the network (r = 0.47, P = 0.006, Fig. 5b), suggestive of the growth of the neonatal connectome to a more overall efficient organization during development. In addition, coinciding with the increase in clustering, also the level of modularity of the network was found to increase between 30 and 40 weeks (r = 0.50, P = 0.0037, Fig. 5b). The tests of C, L, and SW survived Bonferroni correction for multiple testing.Figure 5.

Bottom Line: The human connectome is the result of an elaborate developmental trajectory.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).Taken together, we conclude that hallmark organizational structures of the human connectome are present before term birth and subject to early development.

View Article: PubMed Central - PubMed

Affiliation: Department of Psychiatry, Wilhelmina Children's Hospital, University Medical Center Utrecht, The Netherlands Brain Center Rudolf Magnus, The Netherlands.

No MeSH data available.