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Diffusion tensor imaging and tractwise fractional anisotropy statistics: quantitative analysis in white matter pathology
BACKGROUND: Information on anatomical connectivity in the brain by measurements of the diffusion of water in white matter tracts lead to quantification of local tract directionality and integrity. METHODS: The combination of connectivity mapping (fibre tracking, FT) with quantitative diffusion fract...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2186341/ https://www.ncbi.nlm.nih.gov/pubmed/17996104 http://dx.doi.org/10.1186/1475-925X-6-42 |
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author | Mueller, Hans-Peter Unrath, Alexander Sperfeld, Anne D Ludolph, Albert C Riecker, Axel Kassubek, Jan |
author_facet | Mueller, Hans-Peter Unrath, Alexander Sperfeld, Anne D Ludolph, Albert C Riecker, Axel Kassubek, Jan |
author_sort | Mueller, Hans-Peter |
collection | PubMed |
description | BACKGROUND: Information on anatomical connectivity in the brain by measurements of the diffusion of water in white matter tracts lead to quantification of local tract directionality and integrity. METHODS: The combination of connectivity mapping (fibre tracking, FT) with quantitative diffusion fractional anisotropy (FA) mapping resulted in the approach of results based on group-averaged data, named tractwise FA statistics (TFAS). The task of this study was to apply these methods to group-averaged data from different subjects to quantify differences between normal subjects and subjects with defined alterations of the corpus callosum (CC). RESULTS: TFAS exhibited a significant FA reduction especially in the CC, in agreement with region of interest (ROI)-based analyses. CONCLUSION: In summary, the applicability of the TFAS approach to diffusion tensor imaging studies of normal and pathologically altered brains was demonstrated. |
format | Text |
id | pubmed-2186341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-21863412008-01-15 Diffusion tensor imaging and tractwise fractional anisotropy statistics: quantitative analysis in white matter pathology Mueller, Hans-Peter Unrath, Alexander Sperfeld, Anne D Ludolph, Albert C Riecker, Axel Kassubek, Jan Biomed Eng Online Research BACKGROUND: Information on anatomical connectivity in the brain by measurements of the diffusion of water in white matter tracts lead to quantification of local tract directionality and integrity. METHODS: The combination of connectivity mapping (fibre tracking, FT) with quantitative diffusion fractional anisotropy (FA) mapping resulted in the approach of results based on group-averaged data, named tractwise FA statistics (TFAS). The task of this study was to apply these methods to group-averaged data from different subjects to quantify differences between normal subjects and subjects with defined alterations of the corpus callosum (CC). RESULTS: TFAS exhibited a significant FA reduction especially in the CC, in agreement with region of interest (ROI)-based analyses. CONCLUSION: In summary, the applicability of the TFAS approach to diffusion tensor imaging studies of normal and pathologically altered brains was demonstrated. BioMed Central 2007-11-09 /pmc/articles/PMC2186341/ /pubmed/17996104 http://dx.doi.org/10.1186/1475-925X-6-42 Text en Copyright © 2007 Mueller et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Mueller, Hans-Peter Unrath, Alexander Sperfeld, Anne D Ludolph, Albert C Riecker, Axel Kassubek, Jan Diffusion tensor imaging and tractwise fractional anisotropy statistics: quantitative analysis in white matter pathology |
title | Diffusion tensor imaging and tractwise fractional anisotropy statistics: quantitative analysis in white matter pathology |
title_full | Diffusion tensor imaging and tractwise fractional anisotropy statistics: quantitative analysis in white matter pathology |
title_fullStr | Diffusion tensor imaging and tractwise fractional anisotropy statistics: quantitative analysis in white matter pathology |
title_full_unstemmed | Diffusion tensor imaging and tractwise fractional anisotropy statistics: quantitative analysis in white matter pathology |
title_short | Diffusion tensor imaging and tractwise fractional anisotropy statistics: quantitative analysis in white matter pathology |
title_sort | diffusion tensor imaging and tractwise fractional anisotropy statistics: quantitative analysis in white matter pathology |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2186341/ https://www.ncbi.nlm.nih.gov/pubmed/17996104 http://dx.doi.org/10.1186/1475-925X-6-42 |
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