Neurocranium thickness mapping in early childhood

Abstract The neurocranium changes rapidly in early childhood to accommodate the growing brain. Developmental disorders and environmental factors such as sleep position may lead to abnormal neurocranial maturation. Therefore, it is important to understand how this structure develops, in order to prov...

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Autores principales:	Niharika Gajawelli, Sean Deoni, Jie Shi, Marius George Linguraru, Antonio R. Porras, Marvin D. Nelson, Benita Tamrazi, Vidya Rajagopalan, Yalin Wang, Natasha Lepore
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3a65951c15104786a0567338776e7045
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spelling	oai:doaj.org-article:3a65951c15104786a0567338776e70452021-12-02T18:37:07ZNeurocranium thickness mapping in early childhood10.1038/s41598-020-73589-w2045-2322https://doaj.org/article/3a65951c15104786a0567338776e70452020-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-73589-whttps://doaj.org/toc/2045-2322Abstract The neurocranium changes rapidly in early childhood to accommodate the growing brain. Developmental disorders and environmental factors such as sleep position may lead to abnormal neurocranial maturation. Therefore, it is important to understand how this structure develops, in order to provide a baseline for early detection of anomalies. However, its anatomy has not yet been well studied in early childhood due to the lack of available imaging databases. In hospitals, CT is typically used to image the neurocranium when a pathology is suspected, but the presence of ionizing radiation makes it harder to construct databases of healthy subjects. In this study, instead, we use a dataset of MRI data from healthy normal children in the age range of 6 months to 36 months to study the development of the neurocranium. After extracting its outline from the MRI data, we used a conformal geometry-based analysis pipeline to detect local thickness growth throughout this age span. These changes will help us understand cranial bone development with respect to the brain, as well as detect abnormal variations, which will in turn inform better treatment strategies for implicated disorders.Niharika GajawelliSean DeoniJie ShiMarius George LinguraruAntonio R. PorrasMarvin D. NelsonBenita TamraziVidya RajagopalanYalin WangNatasha LeporeNature 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 Niharika Gajawelli Sean Deoni Jie Shi Marius George Linguraru Antonio R. Porras Marvin D. Nelson Benita Tamrazi Vidya Rajagopalan Yalin Wang Natasha Lepore Neurocranium thickness mapping in early childhood
description	Abstract The neurocranium changes rapidly in early childhood to accommodate the growing brain. Developmental disorders and environmental factors such as sleep position may lead to abnormal neurocranial maturation. Therefore, it is important to understand how this structure develops, in order to provide a baseline for early detection of anomalies. However, its anatomy has not yet been well studied in early childhood due to the lack of available imaging databases. In hospitals, CT is typically used to image the neurocranium when a pathology is suspected, but the presence of ionizing radiation makes it harder to construct databases of healthy subjects. In this study, instead, we use a dataset of MRI data from healthy normal children in the age range of 6 months to 36 months to study the development of the neurocranium. After extracting its outline from the MRI data, we used a conformal geometry-based analysis pipeline to detect local thickness growth throughout this age span. These changes will help us understand cranial bone development with respect to the brain, as well as detect abnormal variations, which will in turn inform better treatment strategies for implicated disorders.
format	article
author	Niharika Gajawelli Sean Deoni Jie Shi Marius George Linguraru Antonio R. Porras Marvin D. Nelson Benita Tamrazi Vidya Rajagopalan Yalin Wang Natasha Lepore
author_facet	Niharika Gajawelli Sean Deoni Jie Shi Marius George Linguraru Antonio R. Porras Marvin D. Nelson Benita Tamrazi Vidya Rajagopalan Yalin Wang Natasha Lepore
author_sort	Niharika Gajawelli
title	Neurocranium thickness mapping in early childhood
title_short	Neurocranium thickness mapping in early childhood
title_full	Neurocranium thickness mapping in early childhood
title_fullStr	Neurocranium thickness mapping in early childhood
title_full_unstemmed	Neurocranium thickness mapping in early childhood
title_sort	neurocranium thickness mapping in early childhood
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/3a65951c15104786a0567338776e7045
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_version_	1718377790932254720

Neurocranium thickness mapping in early childhood

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