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Scalable mapping of myelin and neuron density in the human brain with micrometer resolution
Optical coherence tomography (OCT) is an emerging 3D imaging technique that allows quantification of intrinsic optical properties such as scattering coefficient and back-scattering coefficient, and has proved useful in distinguishing delicate microstructures in the human brain. The origins of scatte...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748995/ https://www.ncbi.nlm.nih.gov/pubmed/35013441 http://dx.doi.org/10.1038/s41598-021-04093-y |
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author | Chang, Shuaibin Varadarajan, Divya Yang, Jiarui Chen, Ichun Anderson Kura, Sreekanth Magnain, Caroline Augustinack, Jean C. Fischl, Bruce Greve, Douglas N. Boas, David A. Wang, Hui |
author_facet | Chang, Shuaibin Varadarajan, Divya Yang, Jiarui Chen, Ichun Anderson Kura, Sreekanth Magnain, Caroline Augustinack, Jean C. Fischl, Bruce Greve, Douglas N. Boas, David A. Wang, Hui |
author_sort | Chang, Shuaibin |
collection | PubMed |
description | Optical coherence tomography (OCT) is an emerging 3D imaging technique that allows quantification of intrinsic optical properties such as scattering coefficient and back-scattering coefficient, and has proved useful in distinguishing delicate microstructures in the human brain. The origins of scattering in brain tissues are contributed by the myelin content, neuron size and density primarily; however, no quantitative relationships between them have been reported, which hampers the use of OCT in fundamental studies of architectonic areas in the human brain and the pathological evaluations of diseases. Here, we built a generalized linear model based on Mie scattering theory that quantitatively links tissue scattering to myelin content and neuron density in the human brain. We report a strong linear relationship between scattering coefficient and the myelin content that is retained across different regions of the brain. Neuronal cell body turns out to be a secondary contribution to the overall scattering. The optical property of OCT provides a label-free solution for quantifying volumetric myelin content and neuron cells in the human brain. |
format | Online Article Text |
id | pubmed-8748995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87489952022-01-13 Scalable mapping of myelin and neuron density in the human brain with micrometer resolution Chang, Shuaibin Varadarajan, Divya Yang, Jiarui Chen, Ichun Anderson Kura, Sreekanth Magnain, Caroline Augustinack, Jean C. Fischl, Bruce Greve, Douglas N. Boas, David A. Wang, Hui Sci Rep Article Optical coherence tomography (OCT) is an emerging 3D imaging technique that allows quantification of intrinsic optical properties such as scattering coefficient and back-scattering coefficient, and has proved useful in distinguishing delicate microstructures in the human brain. The origins of scattering in brain tissues are contributed by the myelin content, neuron size and density primarily; however, no quantitative relationships between them have been reported, which hampers the use of OCT in fundamental studies of architectonic areas in the human brain and the pathological evaluations of diseases. Here, we built a generalized linear model based on Mie scattering theory that quantitatively links tissue scattering to myelin content and neuron density in the human brain. We report a strong linear relationship between scattering coefficient and the myelin content that is retained across different regions of the brain. Neuronal cell body turns out to be a secondary contribution to the overall scattering. The optical property of OCT provides a label-free solution for quantifying volumetric myelin content and neuron cells in the human brain. Nature Publishing Group UK 2022-01-10 /pmc/articles/PMC8748995/ /pubmed/35013441 http://dx.doi.org/10.1038/s41598-021-04093-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chang, Shuaibin Varadarajan, Divya Yang, Jiarui Chen, Ichun Anderson Kura, Sreekanth Magnain, Caroline Augustinack, Jean C. Fischl, Bruce Greve, Douglas N. Boas, David A. Wang, Hui Scalable mapping of myelin and neuron density in the human brain with micrometer resolution |
title | Scalable mapping of myelin and neuron density in the human brain with micrometer resolution |
title_full | Scalable mapping of myelin and neuron density in the human brain with micrometer resolution |
title_fullStr | Scalable mapping of myelin and neuron density in the human brain with micrometer resolution |
title_full_unstemmed | Scalable mapping of myelin and neuron density in the human brain with micrometer resolution |
title_short | Scalable mapping of myelin and neuron density in the human brain with micrometer resolution |
title_sort | scalable mapping of myelin and neuron density in the human brain with micrometer resolution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748995/ https://www.ncbi.nlm.nih.gov/pubmed/35013441 http://dx.doi.org/10.1038/s41598-021-04093-y |
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