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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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