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Assessing Microstructural Substrates of White Matter Abnormalities: A Comparative Study Using DTI and NODDI
Neurite orientation dispersion and density imaging (NODDI) enables more specific characterization of tissue microstructure by estimating neurite density (NDI) and orientation dispersion (ODI), two key contributors to fractional anisotropy (FA). The present work compared NODDI- with diffusion tensor...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5176300/ https://www.ncbi.nlm.nih.gov/pubmed/28002426 http://dx.doi.org/10.1371/journal.pone.0167884 |
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author | Timmers, Inge Roebroeck, Alard Bastiani, Matteo Jansma, Bernadette Rubio-Gozalbo, Estela Zhang, Hui |
author_facet | Timmers, Inge Roebroeck, Alard Bastiani, Matteo Jansma, Bernadette Rubio-Gozalbo, Estela Zhang, Hui |
author_sort | Timmers, Inge |
collection | PubMed |
description | Neurite orientation dispersion and density imaging (NODDI) enables more specific characterization of tissue microstructure by estimating neurite density (NDI) and orientation dispersion (ODI), two key contributors to fractional anisotropy (FA). The present work compared NODDI- with diffusion tensor imaging (DTI)-derived indices for investigating white matter abnormalities in a clinical sample. We assessed the added value of NODDI parameters over FA, by contrasting group differences identified by both models. Diffusion-weighted images with multiple shells were acquired in a group of 8 healthy controls and 8 patients with an inherited metabolic disease. Both standard DTI and NODDI analyses were performed. Tract based spatial statistics (TBSS) was used for group inferences, after which overlap and unique contributions across different parameters were evaluated. Results showed that group differences in NDI and ODI were complementary, and together could explain much of the FA results. Further, compared to FA analysis, NDI and ODI gave a pattern of results that was more regionally specific and were able to capture additional discriminative voxels that FA failed to identify. Finally, ODI from single-shell NODDI analysis, but not NDI, was found to reproduce the group differences from the multi-shell analysis. To conclude, by using a clinically feasible acquisition and analysis protocol, we demonstrated that NODDI is of added value to standard DTI, by revealing specific microstructural substrates to white matter changes detected with FA. As the (simpler) DTI model was more sensitive in identifying group differences, NODDI is recommended to be used complementary to DTI, thereby adding greater specificity regarding microstructural underpinnings of the differences. The finding that ODI abnormalities can be identified reliably using single-shell data may allow the retrospective analysis of standard DTI with NODDI. |
format | Online Article Text |
id | pubmed-5176300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-51763002017-01-04 Assessing Microstructural Substrates of White Matter Abnormalities: A Comparative Study Using DTI and NODDI Timmers, Inge Roebroeck, Alard Bastiani, Matteo Jansma, Bernadette Rubio-Gozalbo, Estela Zhang, Hui PLoS One Research Article Neurite orientation dispersion and density imaging (NODDI) enables more specific characterization of tissue microstructure by estimating neurite density (NDI) and orientation dispersion (ODI), two key contributors to fractional anisotropy (FA). The present work compared NODDI- with diffusion tensor imaging (DTI)-derived indices for investigating white matter abnormalities in a clinical sample. We assessed the added value of NODDI parameters over FA, by contrasting group differences identified by both models. Diffusion-weighted images with multiple shells were acquired in a group of 8 healthy controls and 8 patients with an inherited metabolic disease. Both standard DTI and NODDI analyses were performed. Tract based spatial statistics (TBSS) was used for group inferences, after which overlap and unique contributions across different parameters were evaluated. Results showed that group differences in NDI and ODI were complementary, and together could explain much of the FA results. Further, compared to FA analysis, NDI and ODI gave a pattern of results that was more regionally specific and were able to capture additional discriminative voxels that FA failed to identify. Finally, ODI from single-shell NODDI analysis, but not NDI, was found to reproduce the group differences from the multi-shell analysis. To conclude, by using a clinically feasible acquisition and analysis protocol, we demonstrated that NODDI is of added value to standard DTI, by revealing specific microstructural substrates to white matter changes detected with FA. As the (simpler) DTI model was more sensitive in identifying group differences, NODDI is recommended to be used complementary to DTI, thereby adding greater specificity regarding microstructural underpinnings of the differences. The finding that ODI abnormalities can be identified reliably using single-shell data may allow the retrospective analysis of standard DTI with NODDI. Public Library of Science 2016-12-21 /pmc/articles/PMC5176300/ /pubmed/28002426 http://dx.doi.org/10.1371/journal.pone.0167884 Text en © 2016 Timmers 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 Timmers, Inge Roebroeck, Alard Bastiani, Matteo Jansma, Bernadette Rubio-Gozalbo, Estela Zhang, Hui Assessing Microstructural Substrates of White Matter Abnormalities: A Comparative Study Using DTI and NODDI |
title | Assessing Microstructural Substrates of White Matter Abnormalities: A Comparative Study Using DTI and NODDI |
title_full | Assessing Microstructural Substrates of White Matter Abnormalities: A Comparative Study Using DTI and NODDI |
title_fullStr | Assessing Microstructural Substrates of White Matter Abnormalities: A Comparative Study Using DTI and NODDI |
title_full_unstemmed | Assessing Microstructural Substrates of White Matter Abnormalities: A Comparative Study Using DTI and NODDI |
title_short | Assessing Microstructural Substrates of White Matter Abnormalities: A Comparative Study Using DTI and NODDI |
title_sort | assessing microstructural substrates of white matter abnormalities: a comparative study using dti and noddi |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5176300/ https://www.ncbi.nlm.nih.gov/pubmed/28002426 http://dx.doi.org/10.1371/journal.pone.0167884 |
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