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Microstructurally Informed Subject-Specific Parcellation of the Corpus Callosum using Axonal Water Fraction
The corpus callosum (CC) is the most important interhemispheric white matter (WM) structure composed of several anatomically and functionally distinct WM tracts. Resolving these tracts is a challenge since the callosum appears relatively homogenous in conventional structural imaging. Commonly used c...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690318/ https://www.ncbi.nlm.nih.gov/pubmed/38045398 http://dx.doi.org/10.21203/rs.3.rs-3645723/v1 |
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author | Chung, Sohae Fieremans, Els Novikov, Dmitry S. Lui, Yvonne W. |
author_facet | Chung, Sohae Fieremans, Els Novikov, Dmitry S. Lui, Yvonne W. |
author_sort | Chung, Sohae |
collection | PubMed |
description | The corpus callosum (CC) is the most important interhemispheric white matter (WM) structure composed of several anatomically and functionally distinct WM tracts. Resolving these tracts is a challenge since the callosum appears relatively homogenous in conventional structural imaging. Commonly used callosal parcellation methods such as the Hofer/Frahm scheme rely on rigid geometric guidelines to separate the substructures that are limited to consider individual variation. Here we present a novel subject-specific and microstructurally-informed method for callosal parcellation based on axonal water fraction (ƒ) known as a diffusion metric reflective of axon caliber and density. We studied 30 healthy subjects from the Human Connectome Project (HCP) dataset with multi-shell diffusion MRI. The biophysical parameter ƒ was derived from compartment-specific WM modeling. Inflection points were identified where there were concavity changes in ƒ across the CC to delineate callosal subregions. We observed relatively higher ƒ in anterior and posterior areas consisting of a greater number of small diameter fibers and lower ƒ in posterior body areas of the CC consisting of a greater number of large diameter fibers. Based on degree of change in ƒ along the callosum, seven callosal subregions can be consistently delineated for each individual. We observe that ƒ can capture differences in underlying tissue microstructures and seven subregions can be identified across CC. Therefore, this method provides microstructurally informed callosal parcellation in a subject-specific way, allowing for more accurate analysis in the corpus callosum. |
format | Online Article Text |
id | pubmed-10690318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-106903182023-12-02 Microstructurally Informed Subject-Specific Parcellation of the Corpus Callosum using Axonal Water Fraction Chung, Sohae Fieremans, Els Novikov, Dmitry S. Lui, Yvonne W. Res Sq Article The corpus callosum (CC) is the most important interhemispheric white matter (WM) structure composed of several anatomically and functionally distinct WM tracts. Resolving these tracts is a challenge since the callosum appears relatively homogenous in conventional structural imaging. Commonly used callosal parcellation methods such as the Hofer/Frahm scheme rely on rigid geometric guidelines to separate the substructures that are limited to consider individual variation. Here we present a novel subject-specific and microstructurally-informed method for callosal parcellation based on axonal water fraction (ƒ) known as a diffusion metric reflective of axon caliber and density. We studied 30 healthy subjects from the Human Connectome Project (HCP) dataset with multi-shell diffusion MRI. The biophysical parameter ƒ was derived from compartment-specific WM modeling. Inflection points were identified where there were concavity changes in ƒ across the CC to delineate callosal subregions. We observed relatively higher ƒ in anterior and posterior areas consisting of a greater number of small diameter fibers and lower ƒ in posterior body areas of the CC consisting of a greater number of large diameter fibers. Based on degree of change in ƒ along the callosum, seven callosal subregions can be consistently delineated for each individual. We observe that ƒ can capture differences in underlying tissue microstructures and seven subregions can be identified across CC. Therefore, this method provides microstructurally informed callosal parcellation in a subject-specific way, allowing for more accurate analysis in the corpus callosum. American Journal Experts 2023-11-25 /pmc/articles/PMC10690318/ /pubmed/38045398 http://dx.doi.org/10.21203/rs.3.rs-3645723/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Chung, Sohae Fieremans, Els Novikov, Dmitry S. Lui, Yvonne W. Microstructurally Informed Subject-Specific Parcellation of the Corpus Callosum using Axonal Water Fraction |
title |
Microstructurally Informed Subject-Specific Parcellation of the Corpus Callosum using Axonal Water Fraction
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title_full |
Microstructurally Informed Subject-Specific Parcellation of the Corpus Callosum using Axonal Water Fraction
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title_fullStr |
Microstructurally Informed Subject-Specific Parcellation of the Corpus Callosum using Axonal Water Fraction
|
title_full_unstemmed |
Microstructurally Informed Subject-Specific Parcellation of the Corpus Callosum using Axonal Water Fraction
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title_short |
Microstructurally Informed Subject-Specific Parcellation of the Corpus Callosum using Axonal Water Fraction
|
title_sort | microstructurally informed subject-specific parcellation of the corpus callosum using axonal water fraction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690318/ https://www.ncbi.nlm.nih.gov/pubmed/38045398 http://dx.doi.org/10.21203/rs.3.rs-3645723/v1 |
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