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Trinity College Dublin

Tract-Based Spatial Statistics analysis of a large DTI Fractional Anisotropy dataset

Research Field: 
Life Sciences
Resource Type: 
Compute
Resource Class: 
A
Lead PI: 
Prof Hugh Garavan
Abstract: 
Voxelwise statistical analysis of DTI Fractional Anisotropy (FA) data will be carried out using TBSS (Tract-Based Spatial Statistics, [Smith 2006]), part of FSL [Smith 2004]. First, FA images will be created by fitting a tensor model to the raw diffusion data using FDT, and then brain-extracted using BET [Smith 2002]. All subjects' FA data will then be aligned into a common space using the nonlinear registration tool FNIRT [Andersson 2007a, 2007b], which uses a b-spline representation of the registration warp field [Rueckert 1999]. Next, the mean FA image will be created and thinned to create a mean FA skeleton which represents the centres of all tracts common to the group. Each subject's aligned FA data will then be projected onto this skeleton and the resulting data fed into voxelwise cross-subject statistics. This analysis will be performed on a large dataset (N=184) and will be performed as a "blind analysis" with information of the group identifier and subject age given but without clinical information on the patient group. [Smith 2006]
Start Date: 
09/2010
Duration: 
12.00months

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