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Diffusion Tensor Based White Matter Tract Atlases for Pediatric Populations
Diffusion Tensor Imaging (DTI) is a non-invasive neuroimaging method that has become the most widely employed MRI modality for investigations of white matter fiber pathways. DTI has proven especially valuable for improving our understanding of normative white matter maturation across the life span a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985548/ https://www.ncbi.nlm.nih.gov/pubmed/35401073 http://dx.doi.org/10.3389/fnins.2022.806268 |
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author | Short, Sarah J. Jang, Dae Kun Steiner, Rachel J. Stephens, Rebecca L. Girault, Jessica B. Styner, Martin Gilmore, John H. |
author_facet | Short, Sarah J. Jang, Dae Kun Steiner, Rachel J. Stephens, Rebecca L. Girault, Jessica B. Styner, Martin Gilmore, John H. |
author_sort | Short, Sarah J. |
collection | PubMed |
description | Diffusion Tensor Imaging (DTI) is a non-invasive neuroimaging method that has become the most widely employed MRI modality for investigations of white matter fiber pathways. DTI has proven especially valuable for improving our understanding of normative white matter maturation across the life span and has also been used to index clinical pathology and cognitive function. Despite its increasing popularity, especially in pediatric research, the majority of existing studies examining infant white matter maturation depend on regional or white matter skeleton-based approaches. These methods generally lack the sensitivity and spatial specificity of more advanced functional analysis options that provide information about microstructural properties of white matter along fiber bundles. DTI studies of early postnatal brain development show that profound microstructural and maturational changes take place during the first two years of life. The pattern and rate of these changes vary greatly throughout the brain during this time compared to the rest of the life span. For this reason, appropriate image processing of infant MR imaging requires the use of age-specific reference atlases. This article provides an overview of the pre-processing, atlas building, and the fiber tractography procedures used to generate two atlas resources, one for neonates and one for 1- to 2-year-old populations. Via the UNC-NAMIC DTI Fiber Analysis Framework, our pediatric atlases provide the computational templates necessary for the fully automatic analysis of infant DTI data. To the best of our knowledge, these atlases are the first comprehensive population diffusion fiber atlases in early pediatric ages that are publicly available. |
format | Online Article Text |
id | pubmed-8985548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89855482022-04-07 Diffusion Tensor Based White Matter Tract Atlases for Pediatric Populations Short, Sarah J. Jang, Dae Kun Steiner, Rachel J. Stephens, Rebecca L. Girault, Jessica B. Styner, Martin Gilmore, John H. Front Neurosci Neuroscience Diffusion Tensor Imaging (DTI) is a non-invasive neuroimaging method that has become the most widely employed MRI modality for investigations of white matter fiber pathways. DTI has proven especially valuable for improving our understanding of normative white matter maturation across the life span and has also been used to index clinical pathology and cognitive function. Despite its increasing popularity, especially in pediatric research, the majority of existing studies examining infant white matter maturation depend on regional or white matter skeleton-based approaches. These methods generally lack the sensitivity and spatial specificity of more advanced functional analysis options that provide information about microstructural properties of white matter along fiber bundles. DTI studies of early postnatal brain development show that profound microstructural and maturational changes take place during the first two years of life. The pattern and rate of these changes vary greatly throughout the brain during this time compared to the rest of the life span. For this reason, appropriate image processing of infant MR imaging requires the use of age-specific reference atlases. This article provides an overview of the pre-processing, atlas building, and the fiber tractography procedures used to generate two atlas resources, one for neonates and one for 1- to 2-year-old populations. Via the UNC-NAMIC DTI Fiber Analysis Framework, our pediatric atlases provide the computational templates necessary for the fully automatic analysis of infant DTI data. To the best of our knowledge, these atlases are the first comprehensive population diffusion fiber atlases in early pediatric ages that are publicly available. Frontiers Media S.A. 2022-03-23 /pmc/articles/PMC8985548/ /pubmed/35401073 http://dx.doi.org/10.3389/fnins.2022.806268 Text en Copyright © 2022 Short, Jang, Steiner, Stephens, Girault, Styner and Gilmore. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Short, Sarah J. Jang, Dae Kun Steiner, Rachel J. Stephens, Rebecca L. Girault, Jessica B. Styner, Martin Gilmore, John H. Diffusion Tensor Based White Matter Tract Atlases for Pediatric Populations |
title | Diffusion Tensor Based White Matter Tract Atlases for Pediatric Populations |
title_full | Diffusion Tensor Based White Matter Tract Atlases for Pediatric Populations |
title_fullStr | Diffusion Tensor Based White Matter Tract Atlases for Pediatric Populations |
title_full_unstemmed | Diffusion Tensor Based White Matter Tract Atlases for Pediatric Populations |
title_short | Diffusion Tensor Based White Matter Tract Atlases for Pediatric Populations |
title_sort | diffusion tensor based white matter tract atlases for pediatric populations |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8985548/ https://www.ncbi.nlm.nih.gov/pubmed/35401073 http://dx.doi.org/10.3389/fnins.2022.806268 |
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