Functional Geometry of Human Connectomes

Abstract Mapping the brain imaging data to networks, where nodes represent anatomical brain regions and edges indicate the occurrence of fiber tracts between them, has enabled an objective graph-theoretic analysis of human connectomes. However, the latent structure on higher-order interactions remai...

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Autores principales:	Bosiljka Tadić, Miroslav Andjelković, Roderick Melnik
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/869b712490b14df8875cb28c0e97a9e0
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spelling	oai:doaj.org-article:869b712490b14df8875cb28c0e97a9e02021-12-02T15:09:15ZFunctional Geometry of Human Connectomes10.1038/s41598-019-48568-52045-2322https://doaj.org/article/869b712490b14df8875cb28c0e97a9e02019-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-48568-5https://doaj.org/toc/2045-2322Abstract Mapping the brain imaging data to networks, where nodes represent anatomical brain regions and edges indicate the occurrence of fiber tracts between them, has enabled an objective graph-theoretic analysis of human connectomes. However, the latent structure on higher-order interactions remains unexplored, where many brain regions act in synergy to perform complex functions. Here we use the simplicial complexes description of human connectome, where the shared simplexes encode higher-order relationships between groups of nodes. We study consensus connectome of 100 female (F-connectome) and of 100 male (M-connectome) subjects that we generated from the Budapest Reference Connectome Server v3.0 based on data from the Human Connectome Project. Our analysis reveals that the functional geometry of the common F&M-connectome coincides with the M-connectome and is characterized by a complex architecture of simplexes to the 14th order, which is built in six anatomical communities, and linked by short cycles. The F-connectome has additional edges that involve different brain regions, thereby increasing the size of simplexes and introducing new cycles. Both connectomes contain characteristic subjacent graphs that make them 3/2-hyperbolic. These results shed new light on the functional architecture of the brain, suggesting that insightful differences among connectomes are hidden in their higher-order connectivity.Bosiljka TadićMiroslav AndjelkovićRoderick MelnikNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-12 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Bosiljka Tadić Miroslav Andjelković Roderick Melnik Functional Geometry of Human Connectomes
description	Abstract Mapping the brain imaging data to networks, where nodes represent anatomical brain regions and edges indicate the occurrence of fiber tracts between them, has enabled an objective graph-theoretic analysis of human connectomes. However, the latent structure on higher-order interactions remains unexplored, where many brain regions act in synergy to perform complex functions. Here we use the simplicial complexes description of human connectome, where the shared simplexes encode higher-order relationships between groups of nodes. We study consensus connectome of 100 female (F-connectome) and of 100 male (M-connectome) subjects that we generated from the Budapest Reference Connectome Server v3.0 based on data from the Human Connectome Project. Our analysis reveals that the functional geometry of the common F&M-connectome coincides with the M-connectome and is characterized by a complex architecture of simplexes to the 14th order, which is built in six anatomical communities, and linked by short cycles. The F-connectome has additional edges that involve different brain regions, thereby increasing the size of simplexes and introducing new cycles. Both connectomes contain characteristic subjacent graphs that make them 3/2-hyperbolic. These results shed new light on the functional architecture of the brain, suggesting that insightful differences among connectomes are hidden in their higher-order connectivity.
format	article
author	Bosiljka Tadić Miroslav Andjelković Roderick Melnik
author_facet	Bosiljka Tadić Miroslav Andjelković Roderick Melnik
author_sort	Bosiljka Tadić
title	Functional Geometry of Human Connectomes
title_short	Functional Geometry of Human Connectomes
title_full	Functional Geometry of Human Connectomes
title_fullStr	Functional Geometry of Human Connectomes
title_full_unstemmed	Functional Geometry of Human Connectomes
title_sort	functional geometry of human connectomes
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/869b712490b14df8875cb28c0e97a9e0
work_keys_str_mv	AT bosiljkatadic functionalgeometryofhumanconnectomes AT miroslavandjelkovic functionalgeometryofhumanconnectomes AT roderickmelnik functionalgeometryofhumanconnectomes
_version_	1718387885701332992

Functional Geometry of Human Connectomes

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