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Abstract #1670

Gray Matter Based Spatial Statistics Shows Cortical Alterations in Individuals With Autism Spectrum Disorder 

Marissa DiPiero1,2, Janet Lainhart2,3, Brittany Travers2,4, Andrew Alexander 2,3,5, and Doug Dean2,6
1Neuroscience Training Program, University of Wisconsin - Madison, Madison, WI, United States, 2Waisman Center, University of Wisconsin - Madison, Madison, WI, United States, 3Department of Psychiatry, University of Wisconsin - Madison, Madison, WI, United States, 4Department of Kinesiology, University of Wisconsin - Madison, Madison, WI, United States, 5Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 6Department of Pediatrics, University of Wisconsin - Madison, Madison, WI, United States

Advanced diffusion MRI techniques, such as Neurite Orientation Dispersion and Density Imaging (NODDI), may be used to investigate cortical gray matter (GM) microstructure. In this work, we used the Gray Matter Based Spatial Statistics approach to investigate cortical GM microstructural differences in young people with autism spectrum disorder (ASD). Group differences and age by group interaction models were assessed. We observe regions of reduced neurite density and significant age-related changes of DTI and NODDI metrics in cortical GM of ASD individuals. Findings provide unique evidence of altered neurodevelopmental processes affecting microstructural development in ASD.

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