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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-8153060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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