Automated diffusion-based parcellation of the hypothalamus reveals subunit-specific associations with obesity

Abstract The hypothalamus is a small, yet highly versatile structure mainly involved in bodily functions such as control of food intake and endocrine activity. Functional anatomy of different hypothalamic areas is mainly investigated using structural MRI, validated by ex-vivo histological studies. B...

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Autores principales:	Melanie Spindler, Jale Özyurt, Christiane M. Thiel
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e1a58f7ca94945649a7ec3e61ff59e36
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spelling	oai:doaj.org-article:e1a58f7ca94945649a7ec3e61ff59e362021-12-02T13:58:12ZAutomated diffusion-based parcellation of the hypothalamus reveals subunit-specific associations with obesity10.1038/s41598-020-79289-92045-2322https://doaj.org/article/e1a58f7ca94945649a7ec3e61ff59e362020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79289-9https://doaj.org/toc/2045-2322Abstract The hypothalamus is a small, yet highly versatile structure mainly involved in bodily functions such as control of food intake and endocrine activity. Functional anatomy of different hypothalamic areas is mainly investigated using structural MRI, validated by ex-vivo histological studies. Based on diffusion-weighted imaging (DWI), recent automated clustering methods provide robust tools for parcellation. Using data of 100 healthy adults provided by the Human Connectome Project Database, we applied DWI-based automated clustering to the hypothalamus and related microstructural properties in these hypothalamic compartments to obesity. Our results suggest that the hypothalamus can be reliably partitioned into four clusters in each hemisphere using diffusion-based parcellation. These correspond to an anterior–superior, anterior-inferior, intermediate, and posterior cluster. Obesity was predicted by mean diffusivity of the anterior–superior cluster, suggesting altered inhibition of food intake. The proposed method provides an automated hypothalamic parcellation technique based on DWI data to explore anatomy and function of hypothalamic subunits in vivo in humans.Melanie SpindlerJale ÖzyurtChristiane M. ThielNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Melanie Spindler Jale Özyurt Christiane M. Thiel Automated diffusion-based parcellation of the hypothalamus reveals subunit-specific associations with obesity
description	Abstract The hypothalamus is a small, yet highly versatile structure mainly involved in bodily functions such as control of food intake and endocrine activity. Functional anatomy of different hypothalamic areas is mainly investigated using structural MRI, validated by ex-vivo histological studies. Based on diffusion-weighted imaging (DWI), recent automated clustering methods provide robust tools for parcellation. Using data of 100 healthy adults provided by the Human Connectome Project Database, we applied DWI-based automated clustering to the hypothalamus and related microstructural properties in these hypothalamic compartments to obesity. Our results suggest that the hypothalamus can be reliably partitioned into four clusters in each hemisphere using diffusion-based parcellation. These correspond to an anterior–superior, anterior-inferior, intermediate, and posterior cluster. Obesity was predicted by mean diffusivity of the anterior–superior cluster, suggesting altered inhibition of food intake. The proposed method provides an automated hypothalamic parcellation technique based on DWI data to explore anatomy and function of hypothalamic subunits in vivo in humans.
format	article
author	Melanie Spindler Jale Özyurt Christiane M. Thiel
author_facet	Melanie Spindler Jale Özyurt Christiane M. Thiel
author_sort	Melanie Spindler
title	Automated diffusion-based parcellation of the hypothalamus reveals subunit-specific associations with obesity
title_short	Automated diffusion-based parcellation of the hypothalamus reveals subunit-specific associations with obesity
title_full	Automated diffusion-based parcellation of the hypothalamus reveals subunit-specific associations with obesity
title_fullStr	Automated diffusion-based parcellation of the hypothalamus reveals subunit-specific associations with obesity
title_full_unstemmed	Automated diffusion-based parcellation of the hypothalamus reveals subunit-specific associations with obesity
title_sort	automated diffusion-based parcellation of the hypothalamus reveals subunit-specific associations with obesity
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/e1a58f7ca94945649a7ec3e61ff59e36
work_keys_str_mv	AT melaniespindler automateddiffusionbasedparcellationofthehypothalamusrevealssubunitspecificassociationswithobesity AT jaleozyurt automateddiffusionbasedparcellationofthehypothalamusrevealssubunitspecificassociationswithobesity AT christianemthiel automateddiffusionbasedparcellationofthehypothalamusrevealssubunitspecificassociationswithobesity
_version_	1718392232215576576

Automated diffusion-based parcellation of the hypothalamus reveals subunit-specific associations with obesity

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