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Automatic Segmentation of the Dorsal Claustrum in Humans Using in vivo High-Resolution MRI

The claustrum is a thin sheet of neurons enclosed by white matter and situated between the insula and the putamen. It is highly interconnected with sensory, frontal, and subcortical regions. The deep location of the claustrum, with its fine structure, has limited the degree to which it could be stud...

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Autores principales: Berman, Shai, Schurr, Roey, Atlan, Gal, Citri, Ami, Mezer, Aviv A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153060/
https://www.ncbi.nlm.nih.gov/pubmed/34296125
http://dx.doi.org/10.1093/texcom/tgaa062
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author Berman, Shai
Schurr, Roey
Atlan, Gal
Citri, Ami
Mezer, Aviv A
author_facet Berman, Shai
Schurr, Roey
Atlan, Gal
Citri, Ami
Mezer, Aviv A
author_sort Berman, Shai
collection PubMed
description The claustrum is a thin sheet of neurons enclosed by white matter and situated between the insula and the putamen. It is highly interconnected with sensory, frontal, and subcortical regions. The deep location of the claustrum, with its fine structure, has limited the degree to which it could be studied in vivo. Particularly in humans, identifying the claustrum using magnetic resonance imaging (MRI) is extremely challenging, even manually. Therefore, automatic segmentation of the claustrum is an invaluable step toward enabling extensive and reproducible research of the anatomy and function of the human claustrum. In this study, we developed an automatic algorithm for segmenting the human dorsal claustrum in vivo using high-resolution MRI. Using this algorithm, we segmented the dorsal claustrum bilaterally in 1068 subjects of the Human Connectome Project Young Adult dataset, a publicly available high-resolution MRI dataset. We found good agreement between the automatic and manual segmentations performed by 2 observers in 10 subjects. We demonstrate the use of the segmentation in analyzing the covariation of the dorsal claustrum with other brain regions, in terms of macro- and microstructure. We identified several covariance networks associated with the dorsal claustrum. We provide an online repository of 1068 bilateral dorsal claustrum segmentations.
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spelling pubmed-81530602021-07-21 Automatic Segmentation of the Dorsal Claustrum in Humans Using in vivo High-Resolution MRI Berman, Shai Schurr, Roey Atlan, Gal Citri, Ami Mezer, Aviv A Cereb Cortex Commun Original Article The claustrum is a thin sheet of neurons enclosed by white matter and situated between the insula and the putamen. It is highly interconnected with sensory, frontal, and subcortical regions. The deep location of the claustrum, with its fine structure, has limited the degree to which it could be studied in vivo. Particularly in humans, identifying the claustrum using magnetic resonance imaging (MRI) is extremely challenging, even manually. Therefore, automatic segmentation of the claustrum is an invaluable step toward enabling extensive and reproducible research of the anatomy and function of the human claustrum. In this study, we developed an automatic algorithm for segmenting the human dorsal claustrum in vivo using high-resolution MRI. Using this algorithm, we segmented the dorsal claustrum bilaterally in 1068 subjects of the Human Connectome Project Young Adult dataset, a publicly available high-resolution MRI dataset. We found good agreement between the automatic and manual segmentations performed by 2 observers in 10 subjects. We demonstrate the use of the segmentation in analyzing the covariation of the dorsal claustrum with other brain regions, in terms of macro- and microstructure. We identified several covariance networks associated with the dorsal claustrum. We provide an online repository of 1068 bilateral dorsal claustrum segmentations. Oxford University Press 2020-09-01 /pmc/articles/PMC8153060/ /pubmed/34296125 http://dx.doi.org/10.1093/texcom/tgaa062 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Berman, Shai
Schurr, Roey
Atlan, Gal
Citri, Ami
Mezer, Aviv A
Automatic Segmentation of the Dorsal Claustrum in Humans Using in vivo High-Resolution MRI
title Automatic Segmentation of the Dorsal Claustrum in Humans Using in vivo High-Resolution MRI
title_full Automatic Segmentation of the Dorsal Claustrum in Humans Using in vivo High-Resolution MRI
title_fullStr Automatic Segmentation of the Dorsal Claustrum in Humans Using in vivo High-Resolution MRI
title_full_unstemmed Automatic Segmentation of the Dorsal Claustrum in Humans Using in vivo High-Resolution MRI
title_short Automatic Segmentation of the Dorsal Claustrum in Humans Using in vivo High-Resolution MRI
title_sort automatic segmentation of the dorsal claustrum in humans using in vivo high-resolution mri
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153060/
https://www.ncbi.nlm.nih.gov/pubmed/34296125
http://dx.doi.org/10.1093/texcom/tgaa062
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