This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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361
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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ENAR
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Abstract - #309410 |
Title:
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Functional Data Analysis on Longitudinal Tract-Based DTI
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Author(s):
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Hongbin Gu+ and Spencer Hayss*
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Companies:
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The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill
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Address:
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Dept of Psychiatry and Biostatistics, Chapel Hill, NC, 27517,
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Keywords:
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Functional Data Analysis ;
tract-based DTI ;
Neuro-imaging
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Abstract:
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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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Authors who are presenting talks have a * after their name.
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