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Connectomic Insights into Topologically Centralized Network Edges and Relevant Motifs in the Human Brain
White matter (WM) tracts serve as important material substrates for information transfer across brain regions. However, the topological roles of WM tracts in global brain communications and their underlying microstructural basis remain poorly understood. Here, we employed diffusion magnetic resonanc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4835491/ https://www.ncbi.nlm.nih.gov/pubmed/27148015 http://dx.doi.org/10.3389/fnhum.2016.00158 |
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author | Xia, Mingrui Lin, Qixiang Bi, Yanchao He, Yong |
author_facet | Xia, Mingrui Lin, Qixiang Bi, Yanchao He, Yong |
author_sort | Xia, Mingrui |
collection | PubMed |
description | White matter (WM) tracts serve as important material substrates for information transfer across brain regions. However, the topological roles of WM tracts in global brain communications and their underlying microstructural basis remain poorly understood. Here, we employed diffusion magnetic resonance imaging and graph-theoretical approaches to identify the pivotal WM connections in human whole-brain networks and further investigated their wiring substrates (including WM microstructural organization and physical consumption) and topological contributions to the brain's network backbone. We found that the pivotal WM connections with highly topological-edge centrality were primarily distributed in several long-range cortico-cortical connections (including the corpus callosum, cingulum and inferior fronto-occipital fasciculus) and some projection tracts linking subcortical regions. These pivotal WM connections exhibited high levels of microstructural organization indicated by diffusion measures (the fractional anisotropy, the mean diffusivity and the axial diffusivity) and greater physical consumption indicated by streamline lengths, and contributed significantly to the brain's hubs and the rich-club structure. Network motif analysis further revealed their heavy participations in the organization of communication blocks, especially in routes involving inter-hemispheric heterotopic and extremely remote intra-hemispheric systems. Computational simulation models indicated the sharp decrease of global network integrity when attacking these highly centralized edges. Together, our results demonstrated high building-cost consumption and substantial communication capacity contributions for pivotal WM connections, which deepens our understanding of the topological mechanisms that govern the organization of human connectomes. |
format | Online Article Text |
id | pubmed-4835491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-48354912016-05-04 Connectomic Insights into Topologically Centralized Network Edges and Relevant Motifs in the Human Brain Xia, Mingrui Lin, Qixiang Bi, Yanchao He, Yong Front Hum Neurosci Neuroscience White matter (WM) tracts serve as important material substrates for information transfer across brain regions. However, the topological roles of WM tracts in global brain communications and their underlying microstructural basis remain poorly understood. Here, we employed diffusion magnetic resonance imaging and graph-theoretical approaches to identify the pivotal WM connections in human whole-brain networks and further investigated their wiring substrates (including WM microstructural organization and physical consumption) and topological contributions to the brain's network backbone. We found that the pivotal WM connections with highly topological-edge centrality were primarily distributed in several long-range cortico-cortical connections (including the corpus callosum, cingulum and inferior fronto-occipital fasciculus) and some projection tracts linking subcortical regions. These pivotal WM connections exhibited high levels of microstructural organization indicated by diffusion measures (the fractional anisotropy, the mean diffusivity and the axial diffusivity) and greater physical consumption indicated by streamline lengths, and contributed significantly to the brain's hubs and the rich-club structure. Network motif analysis further revealed their heavy participations in the organization of communication blocks, especially in routes involving inter-hemispheric heterotopic and extremely remote intra-hemispheric systems. Computational simulation models indicated the sharp decrease of global network integrity when attacking these highly centralized edges. Together, our results demonstrated high building-cost consumption and substantial communication capacity contributions for pivotal WM connections, which deepens our understanding of the topological mechanisms that govern the organization of human connectomes. Frontiers Media S.A. 2016-04-19 /pmc/articles/PMC4835491/ /pubmed/27148015 http://dx.doi.org/10.3389/fnhum.2016.00158 Text en Copyright © 2016 Xia, Lin, Bi and He. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Xia, Mingrui Lin, Qixiang Bi, Yanchao He, Yong Connectomic Insights into Topologically Centralized Network Edges and Relevant Motifs in the Human Brain |
title | Connectomic Insights into Topologically Centralized Network Edges and Relevant Motifs in the Human Brain |
title_full | Connectomic Insights into Topologically Centralized Network Edges and Relevant Motifs in the Human Brain |
title_fullStr | Connectomic Insights into Topologically Centralized Network Edges and Relevant Motifs in the Human Brain |
title_full_unstemmed | Connectomic Insights into Topologically Centralized Network Edges and Relevant Motifs in the Human Brain |
title_short | Connectomic Insights into Topologically Centralized Network Edges and Relevant Motifs in the Human Brain |
title_sort | connectomic insights into topologically centralized network edges and relevant motifs in the human brain |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4835491/ https://www.ncbi.nlm.nih.gov/pubmed/27148015 http://dx.doi.org/10.3389/fnhum.2016.00158 |
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