دورية أكاديمية
Scalable mapping of myelin and neuron density in the human brain with micrometer resolution
العنوان: | Scalable mapping of myelin and neuron density in the human brain with micrometer resolution |
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المؤلفون: | Shuaibin Chang, Divya Varadarajan, Jiarui Yang, Ichun Anderson Chen, Sreekanth Kura, Caroline Magnain, Jean C. Augustinack, Bruce Fischl, Douglas N. Greve, David A. Boas, Hui Wang |
المصدر: | Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022) |
بيانات النشر: | Nature Portfolio, 2022. |
سنة النشر: | 2022 |
المجموعة: | LCC:Medicine LCC:Science |
مصطلحات موضوعية: | Medicine, Science |
الوصف: | Abstract 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. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2045-2322 |
Relation: | https://doaj.org/toc/2045-2322 |
DOI: | 10.1038/s41598-021-04093-y |
URL الوصول: | https://doaj.org/article/1fcfa48c290947cd9be7197b7fef1766 |
رقم الأكسشن: | edsdoj.1fcfa48c290947cd9be7197b7fef1766 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 20452322 |
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DOI: | 10.1038/s41598-021-04093-y |