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Abstract #3044

Examining the Relationship Between Cerebral Blood Flood and Grey Matter Structure in Typically Developing Children

Jeffrey T. Duda1, Emily Kilroy2, James C. Gee1, Danny J.J. Wang2, Brian B. Avants1

1Radiology, University of Pennsylvania, Philadelphia, PA, United States; 2Neurology, University of California Los Angeles, Los Angeles, CA, United States

Cerebral blood flow is measured in typically developing children using pseudo-continuous arterial spin labeled MRI. Additionally, T1 and diffusion tensor images are acquired. Metrics derived from the structural images are used to create linear regression models in order to determine the extent to which structural properties of tissue account for variance in the measurement of cerebral blood flow in grey matter. The structural metrics examined include grey matter probability, white matter probability, cortical thickness, fractional anisotropy and mean diffusion.