Abstract #0732
Normative Modeling of Early Brain Maturation from Longitudinal DTI Reveals Twin-Singleton Differences
Neda Sadeghi 1 , John H Gilmore 2 , Weili Lin 3 , and Guido Gerig 1
1
Scientific Computing and Imaging Institute,
Salt Lake City, UT, United States,
2
Department
of Psychiatry, University of North Carolina, Chapel
Hill, NC, United States,
3
Department
of Radiology, University of North Carolina, Chapel Hill,
NC, United States
Early brain development is characterized by rapid
organization and structuring of brain tissue. Magnetic
Resonance diffusion tensor imaging (MR-DTI) can capture
these changes non-invasively by following individuals
longitudinally to better understand departures from
normal brain development in neurological disorders or
disease. We present analysis and modeling of
neurodevelopmental growth trajectories from longitudinal
infant DTI using recently developed image processing and
statistical modeling tools. Comparing populations of
healthy singleton and twin subjects, we find subtle
group differences in axial diffusivity at birth, which
disappear after 2-3 months. Color-coded 3D
visualizations reveal large variability of these
differences across white matter regions.
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