This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 361
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract - #309410
Title: Functional Data Analysis on Longitudinal Tract-Based DTI
Author(s): Hongbin Gu+ and Spencer Hayss*
Companies: The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill
Address: Dept of Psychiatry and Biostatistics, Chapel Hill, NC, 27517,
Keywords: Functional Data Analysis ; tract-based DTI ; Neuro-imaging
Abstract:

Diffusion tensor imaging (DTI) provides an opportunity to study development of brain white matter maturation in vivo. The high-dimension complex DTI function data, however, present unique statistical challenges especially under longitudinal study settings. This paper presents a statistical method using functional linear model to compare development patterns of tract-based DTI properties between two clinical populations. Diffusion properties along target fiber tracts were normalized based on unbiased diffeomorphic atlas tract geometry and smoothed with polynomial spline. A functional linear regression was then fitted to model multiple demographic and clinical covariates jointly. Permutation F-test with FDR adjustment was used to test the target difference in the DTI tract. The methodology is illustrated with an adolescent schizophrenia high risk tract-based DTI dataset.


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