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

Authors :
Lara Maleyeff
Jane W. Newburger
David Wypij
Nina H. Thomas
Evdokia Anagnoustou
Martina Brueckner
Wendy K. Chung
John Cleveland
Sean Cunningham
Bruce D. Gelb
Elizabeth Goldmuntz
Donald J Hagler Jr
Hao Huang
Eileen King
Patrick McQuillen
Thomas A. Miller
Ami Norris‐Brilliant
George A. Porter Jr
Amy E. Roberts
P. Ellen Grant
Kiho Im
Sarah U. Morton
Source :
Annals of Clinical and Translational Neurology, Vol 11, Iss 2, Pp 278-290 (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

Abstract Objective Persons 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. Methods We 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. Results Genetic 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. Interpretation We 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.

Details

Language :
English
ISSN :
23289503 and 04359194
Volume :
11
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Annals of Clinical and Translational Neurology
Publication Type :
Academic Journal
Accession number :
edsdoj.8dcae0435919402c9b79af51bd1ffc3c
Document Type :
article
Full Text :
https://doi.org/10.1002/acn3.51950