Abstract Number:
1963
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Paper
Participants:
Lyudmila Sakhanenko (1), Juna Goo (2), David C Zhu (1)
Institutions:
(1) Michigan State University, N/A, (2) Boise State University, N/A
Co-Author(s):
First Author:
Presenting Author:
Abstract Text:
A longitudinal diffusion tensor imaging (DTI) study on a single
brain can be remarkably useful to probe white matter fiber connectivity that
may or may not be stable over time. We consider a novel testing problem
where the null hypothesis states that the trajectories of a coherently oriented
fiber population remain the same over a fixed period of time. Compared to
other applications that use changes in DTI scalar metrics over time, our test is
focused on the partial derivative of the continuous ensemble of fiber trajectories
with respect to time. The test statistic is shown to have the limiting chi-square
distribution under the null hypothesis. The power of the test is demonstrated
using Monte Carlo simulations based on both the theoretical and empirical
critical values. The proposed method is applied to a longitudinal DTI study
of a normal brain.
Keywords:
Functional central limit theorem |Nadaraya-Watson type kernel estimator
|White matter fiber tractography| | |
Sponsors:
Section on Statistics in Imaging
Tracks:
Brain Imaging
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