Association of genetic and sulcal traits with executive function in congenital heart disease

Author:

Maleyeff Lara1,Newburger Jane W.23,Wypij David123,Thomas Nina H.45,Anagnoustou Evdokia6,Brueckner Martina78,Chung Wendy K.910,Cleveland John1112,Cunningham Sean13,Gelb Bruce D.14,Goldmuntz Elizabeth15,Hagler Donald J1617,Huang Hao18,King Eileen1920,McQuillen Patrick2122,Miller Thomas A.2324,Norris‐Brilliant Ami25,Porter George A.26,Roberts Amy E.2327,Grant P. Ellen2282930ORCID,Im Kiho22829,Morton Sarah U.22829ORCID

Affiliation:

1. Department of Biostatistics Harvard T.H. Chan School of Public Health Boston Massachusetts USA

2. Department of Pediatrics Harvard Medical School Boston Massachusetts USA

3. Department of Cardiology Boston Children's Hospital Boston Massachusetts USA

4. Department of Child and Adolescent Psychiatry and Behavioral Sciences and Center for Human Phenomic Science Children's Hospital of Philadelphia Philadelphia Pennsylvania USA

5. Department of Psychiatry University of Pennsylvania Philadelphia Pennsylvania USA

6. Department of Pediatrics Holland Bloorview Kids Rehabilitation Hospital, University of Toronto Toronto Ontario Canada

7. Department of Genetics Yale University School of Medicine New Haven Connecticut USA

8. Department of Pediatrics Yale University School of Medicine New Haven Connecticut USA

9. Department of Pediatrics Columbia University Medical Center New York New York USA

10. Department of Medicine Columbia University Medical Center New York New York USA

11. Department of Surgery, Keck School of Medicine University of Southern California Los Angeles California USA

12. Department of Pediatrics, Keck School of Medicine University of Southern California Los Angeles California USA

13. Division of General Pediatrics, Department of Pediatrics University of Utah Salt Lake City Utah USA

14. Mindich Child Health and Development Institute and Department of Pediatrics Icahn School of Medicine at Mount Sinai New York New York USA

15. Division of Cardiology, Department of Pediatrics Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania Philadelphia Pennsylvania USA

16. Center for Multimodal Imaging and Genetics University of California San Diego San Diego California USA

17. Department of Radiology, School of Medicine University of California San Diego San Diego California USA

18. Department of Radiology Children's Hospital of Philadelphia, University of Pennsylvania Philadelphia Pennsylvania USA

19. Department of Pediatrics University of Cincinnati Cincinnati Ohio USA

20. Division of Biostatistics and Epidemiology Cincinnati Children's Hospital Medical Center Cincinnati Ohio USA

21. Department of Pediatrics University of California San Francisco California USA

22. Department of Neurology University of California San Francisco California USA

23. Department of Pediatrics Primary Children's Hospital, University of Utah Salt Lake City Utah USA

24. Division of Pediatric Cardiology Maine Medical Center Portland Maine USA

25. Department of Psychiatry Icahn School of Medicine at Mount Sinai New York New York USA

26. Department of Pediatrics University of Rochester Medical Center Rochester New York USA

27. Division of Genetics and Genomics Boston Children's Hospital Boston Massachusetts USA

28. Division of Newborn Medicine, Department of Pediatrics Boston Children's Hospital Boston Massachusetts USA

29. Fetal Neonatal Neuroimaging and Developmental Science Center Boston Children's Hospital Boston Massachusetts USA

30. Department of Radiology Boston Children's Hospital Boston Massachusetts USA

Abstract

AbstractObjectivePersons with congenital heart disease (CHD) are at increased risk of neurodevelopmental disabilities, including impairments to executive function. Sulcal pattern features correlate with executive function in adolescents with single‐ventricle heart disease and tetralogy of Fallot. However, the interaction of sulcal pattern features with genetic and participant factors in predicting executive dysfunction is unknown.MethodsWe studied sulcal pattern features, participant factors, and genetic risk for executive function impairment in a cohort with multiple CHD types using stepwise linear regression and machine learning.ResultsGenetic factors, including predicted damaging de novo or rare inherited variants in neurodevelopmental disabilities risk genes, apolipoprotein E genotype, and principal components of sulcal pattern features were associated with executive function measures after adjusting for age at testing, sex, mother's education, and biventricular versus single‐ventricle CHD in a linear regression model. Using regression trees and bootstrap validation, younger participant age and larger alterations in sulcal pattern features were consistently identified as important predictors of decreased cognitive flexibility with left hemisphere graph topology often selected as the most important predictor. Inclusion of both sulcal pattern and genetic factors improved model fit compared to either alone.InterpretationWe conclude that sulcal measures remain important predictors of cognitive flexibility, and the model predicting executive outcomes is improved by inclusion of potential genetic sources of neurodevelopmental risk. If confirmed, measures of sulcal patterning may serve as early imaging biomarkers to identify those at heightened risk for future neurodevelopmental disabilities.

Funder

American Heart Association

National Center for Advancing Translational Sciences

National Center for Research Resources

National Heart, Lung, and Blood Institute

National Institute of Neurological Disorders and Stroke

National Institutes of Health

Publisher

Wiley

Subject

Neurology (clinical),General Neuroscience

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