Group analysis of DTI fiber tract statistics with application to neurodevelopment

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2727755/
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Links to Media http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2727755/
Publication Type journal article
Creator Gerig, Guido
Other Author Goodlett, Casey B.; Fletcher, P. Thomas; Gilmore, John H.
Title Group analysis of DTI fiber tract statistics with application to neurodevelopment
Date 2009-01-01
Description Diffusion tensor imaging (DTI) provides a unique source of information about the underlying tissue structure of brain white matter in vivo including both the geometry of major fiber bundles as well as quantitative information about tissue properties represented by derived tensor measures. This paper presents a method for statistical comparison of fiber bundle diffusion properties between populations of diffusion tensor images. Unbiased diffeomorphic atlas building is used to compute a normalized coordinate system for populations of diffusion images. The diffeomorphic transformations between each subject and the atlas provide spatial normalization for the comparison of tract statistics. Diffusion properties, such as fractional anisotropy (FA) and tensor norm, along fiber tracts are modeled as multivariate functions of arc length. Hypothesis testing is performed non-parametrically using permutation testing based on the Hotelling T2 statistic. The linear discriminant embedded in the T2 metric provides an intuitive, localized interpretation of detected differences. The proposed methodology was tested on two clinical studies of neurodevelopment. In a study of one and two year old subjects, a significant increase in FA and a correlated decrease in Frobenius norm was found in several tracts. Significant differences in neonates were found in the splenium tract between controls and subjects with isolated mild ventriculomegaly (MVM) demonstrating the potential of this method for clinical studies.
Type InteractiveResource
Publisher Elsevier
Journal Title Neuroimage
Volume 45
Issue 1
First Page S133
Last Page S142
DOI doi.org/10.1016/j.neuroimage.2008.10.060
Subject Diffusion tensor imaging; Registration; Tract modeling; Neurodevelopment; Statistical modeling
Language eng
Bibliographic Citation Goodlett, C., Fletcher, P. T., Gilmore, J. H., & Gerig, G. (2009). Group analysis of DTI fiber tract statistics with application to neurodevelopment. Neuroimage, 45(1), S133-S42.
Rights Management (c) Elsevier ; Authors manuscript from Goodlett, C., Fletcher, P. T., Gilmore, J. H., & Gerig, G. (2009). Group analysis of DTI fiber tract statistics with application to neurodevelopment. Neuroimage, 45(1), S133-S42. http://dx.doi.org/10.1016/j.neuroimage.2008.10.060.
Format Medium application/html
Identifier uspace, 19218
ARK ark:/87278/s64f50vb
Setname ir_uspace
Date Created 2015-03-09
Date Modified 2015-03-09
ID 712865
Reference URL https://collections.lib.utah.edu/ark:/87278/s64f50vb
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