Abstract #0611
Early Postnatal Multi-modal MRI Structural Trajectory of Brain Dysmaturation Predicts Early Childhood Language Outcomes in Complex CHD
Vincent Kyu Lee1,2, Rafael Ceschin3,4, William Thomas Reynolds2,3, Benjamin Meyers4, Julia Wallace4, Douglas Landsittel5, Daryaneh Badaly6, J William Gaynor7, Daniel Licht8, Nathaniel H Greene9, Ken M Brady10, Jill V Hunter11, Zili D Chu12, Elisabeth A Wilde13, R Blaine Easley14, Dean Andropoulos14, and Ashok Panigrahy1,2,3,4
1Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 2Radiology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, United States, 3Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States, 4Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 5Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, United States, 6Learning and Development Center, Child Mind Institute, New York, NY, United States, 7Division of Cardiothoracic Surgery, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, 8Division of Neurology, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, 9Anesthesiology, Oregon Health and Sciences University, Portland, OR, United States, 10Anesthesiology, Lurie Children’s Hospital, Northwestern University, Chicago, IL, United States, 11Radiology, Texas Children's Hospital, Houston, TX, United States, 12Radiology, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, United States, 13Neurology, University of Utah School of Medicine, Salt Lake City, UT, United States, 14Anesthesiology, Perioperative and Pain Medicine, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, United States
Synopsis
This study examined trajectories of early postnatal brain structure (macrostructural brain volumes and microstructural white matter tractography) relationship with early childhood neurodevelopmental deficits (NDD) in complex congenital heart disease patients. This analysis included development of predictive multi-variable models incorporating other known risk factors of poor NDD in CHD. A multi-modal dysmaturation phenotype of reduced subcortical volume and cerebral white matter volume/connectivity predicted poor early childhood language outcomes, despite high relative contribution of genetic and socio-demographic factors (maternal IQ). Favorable socio-demographic factors, despite the high incidence of focal WMI and presence of genetic abnormalities, predicted better neurodevelopmental outcomes.
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