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Topological organization of connectivity strength in the rat connectome
The mammalian brain is a complex network of anatomically interconnected regions. Animal studies allow for an invasive measurement of the connections of these networks at the macroscale level by means of neuronal tracing of axonal projections, providing a unique opportunity for the formation of detai...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819781/ https://www.ncbi.nlm.nih.gov/pubmed/25697666 http://dx.doi.org/10.1007/s00429-015-0999-6 |
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author | van den Heuvel, Martijn P. Scholtens, Lianne H. de Reus, Marcel A. |
author_facet | van den Heuvel, Martijn P. Scholtens, Lianne H. de Reus, Marcel A. |
author_sort | van den Heuvel, Martijn P. |
collection | PubMed |
description | The mammalian brain is a complex network of anatomically interconnected regions. Animal studies allow for an invasive measurement of the connections of these networks at the macroscale level by means of neuronal tracing of axonal projections, providing a unique opportunity for the formation of detailed ‘connectome maps’. Here we analyzed the macroscale connectome of the rat brain, including detailed information on the macroscale interregional pathways between 67 cortical and subcortical regions as provided by the high-quality, open-access BAMS-II database on rat brain anatomical projections, focusing in particular on the non-uniform distribution of projection strength across pathways. First, network analysis confirmed a small-world, modular and rich club organization of the rat connectome; findings in clear support of previous studies on connectome organization in other mammalian species. More importantly, analyzing network properties of different connection weight classes, we extend previous observations by showing that pathways with different topological roles have significantly different levels of connectivity strength. Among other findings, intramodular connections are shown to display a higher connectivity strength than intermodular connections and hub-to-hub rich club connections are shown to include significantly stronger pathways than connections spanning between peripheral nodes. Furthermore, we show evidence indicating that edges of different weight classes display different topological structures, potentially suggesting varying roles and origins of pathways in the mammalian brain network. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00429-015-0999-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4819781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-48197812016-04-10 Topological organization of connectivity strength in the rat connectome van den Heuvel, Martijn P. Scholtens, Lianne H. de Reus, Marcel A. Brain Struct Funct Original Article The mammalian brain is a complex network of anatomically interconnected regions. Animal studies allow for an invasive measurement of the connections of these networks at the macroscale level by means of neuronal tracing of axonal projections, providing a unique opportunity for the formation of detailed ‘connectome maps’. Here we analyzed the macroscale connectome of the rat brain, including detailed information on the macroscale interregional pathways between 67 cortical and subcortical regions as provided by the high-quality, open-access BAMS-II database on rat brain anatomical projections, focusing in particular on the non-uniform distribution of projection strength across pathways. First, network analysis confirmed a small-world, modular and rich club organization of the rat connectome; findings in clear support of previous studies on connectome organization in other mammalian species. More importantly, analyzing network properties of different connection weight classes, we extend previous observations by showing that pathways with different topological roles have significantly different levels of connectivity strength. Among other findings, intramodular connections are shown to display a higher connectivity strength than intermodular connections and hub-to-hub rich club connections are shown to include significantly stronger pathways than connections spanning between peripheral nodes. Furthermore, we show evidence indicating that edges of different weight classes display different topological structures, potentially suggesting varying roles and origins of pathways in the mammalian brain network. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00429-015-0999-6) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2015-02-20 2016 /pmc/articles/PMC4819781/ /pubmed/25697666 http://dx.doi.org/10.1007/s00429-015-0999-6 Text en © The Author(s) 2015 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Original Article van den Heuvel, Martijn P. Scholtens, Lianne H. de Reus, Marcel A. Topological organization of connectivity strength in the rat connectome |
title | Topological organization of connectivity strength in the rat connectome |
title_full | Topological organization of connectivity strength in the rat connectome |
title_fullStr | Topological organization of connectivity strength in the rat connectome |
title_full_unstemmed | Topological organization of connectivity strength in the rat connectome |
title_short | Topological organization of connectivity strength in the rat connectome |
title_sort | topological organization of connectivity strength in the rat connectome |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819781/ https://www.ncbi.nlm.nih.gov/pubmed/25697666 http://dx.doi.org/10.1007/s00429-015-0999-6 |
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