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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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Detalles Bibliográficos
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
Descripción
Sumario: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.