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Detailing neuroanatomical development in late childhood and early adolescence using NODDI

Diffusion tensor imaging (DTI) studies have provided much evidence of white and subcortical gray matter changes during late childhood and early adolescence that suggest increasing myelination, axon density, and/or fiber coherence. Neurite orientation dispersion and density imaging (NODDI) can be use...

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Autores principales: Mah, Alyssa, Geeraert, Bryce, Lebel, Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5560526/
https://www.ncbi.nlm.nih.gov/pubmed/28817577
http://dx.doi.org/10.1371/journal.pone.0182340
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author Mah, Alyssa
Geeraert, Bryce
Lebel, Catherine
author_facet Mah, Alyssa
Geeraert, Bryce
Lebel, Catherine
author_sort Mah, Alyssa
collection PubMed
description Diffusion tensor imaging (DTI) studies have provided much evidence of white and subcortical gray matter changes during late childhood and early adolescence that suggest increasing myelination, axon density, and/or fiber coherence. Neurite orientation dispersion and density imaging (NODDI) can be used to further characterize development in white and subcortical grey matter regions in the brain by improving specificity of the MRI signal compared to conventional DTI. We used measures from NODDI and DTI to examine white and subcortical gray matter development in a group of 27 healthy participants aged 8–13 years. Neurite density index (NDI) was strongly correlated with age in nearly all regions, and was more strongly associated with age than fractional anisotropy (FA). No significant correlations were observed between orientation dispersion index (ODI) and age. This suggests that white matter and subcortical gray matter changes during late childhood and adolescence are dominated by changes in neurite density (i.e., axon density and myelination), rather than increasing coherence of axons. Within brain regions, FA was correlated with both ODI and NDI while mean diffusivity was only related to neurite density, providing further information about the structural variation across individuals. Data-driven clustering of the NODDI parameters showed that microstructural profiles varied along layers of white matter, but that that much of the white and subcortical gray matter matured in a similar manner. Clustering highlighted isolated brain regions with decreasing NDI values that were not apparent in region-of-interest analysis. Overall, these results help to more specifically understand patterns of white and gray matter development during late childhood and early adolescence.
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spelling pubmed-55605262017-08-25 Detailing neuroanatomical development in late childhood and early adolescence using NODDI Mah, Alyssa Geeraert, Bryce Lebel, Catherine PLoS One Research Article Diffusion tensor imaging (DTI) studies have provided much evidence of white and subcortical gray matter changes during late childhood and early adolescence that suggest increasing myelination, axon density, and/or fiber coherence. Neurite orientation dispersion and density imaging (NODDI) can be used to further characterize development in white and subcortical grey matter regions in the brain by improving specificity of the MRI signal compared to conventional DTI. We used measures from NODDI and DTI to examine white and subcortical gray matter development in a group of 27 healthy participants aged 8–13 years. Neurite density index (NDI) was strongly correlated with age in nearly all regions, and was more strongly associated with age than fractional anisotropy (FA). No significant correlations were observed between orientation dispersion index (ODI) and age. This suggests that white matter and subcortical gray matter changes during late childhood and adolescence are dominated by changes in neurite density (i.e., axon density and myelination), rather than increasing coherence of axons. Within brain regions, FA was correlated with both ODI and NDI while mean diffusivity was only related to neurite density, providing further information about the structural variation across individuals. Data-driven clustering of the NODDI parameters showed that microstructural profiles varied along layers of white matter, but that that much of the white and subcortical gray matter matured in a similar manner. Clustering highlighted isolated brain regions with decreasing NDI values that were not apparent in region-of-interest analysis. Overall, these results help to more specifically understand patterns of white and gray matter development during late childhood and early adolescence. Public Library of Science 2017-08-17 /pmc/articles/PMC5560526/ /pubmed/28817577 http://dx.doi.org/10.1371/journal.pone.0182340 Text en © 2017 Mah et al http://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/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Mah, Alyssa
Geeraert, Bryce
Lebel, Catherine
Detailing neuroanatomical development in late childhood and early adolescence using NODDI
title Detailing neuroanatomical development in late childhood and early adolescence using NODDI
title_full Detailing neuroanatomical development in late childhood and early adolescence using NODDI
title_fullStr Detailing neuroanatomical development in late childhood and early adolescence using NODDI
title_full_unstemmed Detailing neuroanatomical development in late childhood and early adolescence using NODDI
title_short Detailing neuroanatomical development in late childhood and early adolescence using NODDI
title_sort detailing neuroanatomical development in late childhood and early adolescence using noddi
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5560526/
https://www.ncbi.nlm.nih.gov/pubmed/28817577
http://dx.doi.org/10.1371/journal.pone.0182340
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