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Functional orderly topography of brain networks associated with gene expression heterogeneity
The human cerebral cortex is vastly expanded relative to nonhuman primates and rodents, leading to a functional orderly topography of brain networks. Here, we show that functional topography may be associated with gene expression heterogeneity. The neocortex exhibits greater heterogeneity in gene ex...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554040/ https://www.ncbi.nlm.nih.gov/pubmed/36220938 http://dx.doi.org/10.1038/s42003-022-04039-8 |
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author | Liu, Wei Zeng, Ling-Li Shen, Hui Zhou, Zong-Tan Hu, Dewen |
author_facet | Liu, Wei Zeng, Ling-Li Shen, Hui Zhou, Zong-Tan Hu, Dewen |
author_sort | Liu, Wei |
collection | PubMed |
description | The human cerebral cortex is vastly expanded relative to nonhuman primates and rodents, leading to a functional orderly topography of brain networks. Here, we show that functional topography may be associated with gene expression heterogeneity. The neocortex exhibits greater heterogeneity in gene expression, with a lower expression of housekeeping genes, a longer mean path length, fewer clusters, and a lower degree of ordering in networks than archicortical and subcortical areas in human, rhesus macaque, and mouse brains. In particular, the cerebellar cortex displays greater heterogeneity in gene expression than cerebellar deep nuclei in the human brain, but not in the mouse brain, corresponding to the emergence of novel functions in the human cerebellar cortex. Moreover, the cortical areas with greater heterogeneity, primarily located in the multimodal association cortex, tend to express genes with higher evolutionary rates and exhibit a higher degree of functional connectivity measured by resting-state fMRI, implying that such a spatial distribution of gene expression may be shaped by evolution and is favourable for the specialization of higher cognitive functions. Together, the cross-species imaging and genetic findings may provide convergent evidence to support the association between the orderly topography of brain function networks and gene expression. |
format | Online Article Text |
id | pubmed-9554040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95540402022-10-13 Functional orderly topography of brain networks associated with gene expression heterogeneity Liu, Wei Zeng, Ling-Li Shen, Hui Zhou, Zong-Tan Hu, Dewen Commun Biol Article The human cerebral cortex is vastly expanded relative to nonhuman primates and rodents, leading to a functional orderly topography of brain networks. Here, we show that functional topography may be associated with gene expression heterogeneity. The neocortex exhibits greater heterogeneity in gene expression, with a lower expression of housekeeping genes, a longer mean path length, fewer clusters, and a lower degree of ordering in networks than archicortical and subcortical areas in human, rhesus macaque, and mouse brains. In particular, the cerebellar cortex displays greater heterogeneity in gene expression than cerebellar deep nuclei in the human brain, but not in the mouse brain, corresponding to the emergence of novel functions in the human cerebellar cortex. Moreover, the cortical areas with greater heterogeneity, primarily located in the multimodal association cortex, tend to express genes with higher evolutionary rates and exhibit a higher degree of functional connectivity measured by resting-state fMRI, implying that such a spatial distribution of gene expression may be shaped by evolution and is favourable for the specialization of higher cognitive functions. Together, the cross-species imaging and genetic findings may provide convergent evidence to support the association between the orderly topography of brain function networks and gene expression. Nature Publishing Group UK 2022-10-11 /pmc/articles/PMC9554040/ /pubmed/36220938 http://dx.doi.org/10.1038/s42003-022-04039-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Liu, Wei Zeng, Ling-Li Shen, Hui Zhou, Zong-Tan Hu, Dewen Functional orderly topography of brain networks associated with gene expression heterogeneity |
title | Functional orderly topography of brain networks associated with gene expression heterogeneity |
title_full | Functional orderly topography of brain networks associated with gene expression heterogeneity |
title_fullStr | Functional orderly topography of brain networks associated with gene expression heterogeneity |
title_full_unstemmed | Functional orderly topography of brain networks associated with gene expression heterogeneity |
title_short | Functional orderly topography of brain networks associated with gene expression heterogeneity |
title_sort | functional orderly topography of brain networks associated with gene expression heterogeneity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554040/ https://www.ncbi.nlm.nih.gov/pubmed/36220938 http://dx.doi.org/10.1038/s42003-022-04039-8 |
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