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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...

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Autores principales: Mueller, Hans-Peter, Unrath, Alexander, Sperfeld, Anne D, Ludolph, Albert C, Riecker, Axel, Kassubek, Jan
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
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.
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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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