TY - JOUR
T1 - Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure
AU - Vandewouw, Marlee M.
AU - Norris-Brilliant, Ami
AU - Rahman, Anum
AU - Assimopoulos, Stephania
AU - Morton, Sarah U.
AU - Kushki, Azadeh
AU - Cunningham, Sean
AU - King, Eileen
AU - Goldmuntz, Elizabeth
AU - Miller, Thomas A.
AU - Thomas, Nina H.
AU - Adams, Heather R.
AU - Cleveland, John
AU - Cnota, James F.
AU - Ellen Grant, P.
AU - Goldberg, Caren S.
AU - Huang, Hao
AU - Li, Jennifer S.
AU - McQuillen, Patrick
AU - Porter, George A.
AU - Roberts, Amy E.
AU - Russell, Mark W.
AU - Seidman, Christine E.
AU - Tivarus, Madalina E.
AU - Chung, Wendy K.
AU - Hagler, Donald J.
AU - Newburger, Jane W.
AU - Panigrahy, Ashok
AU - Lerch, Jason P.
AU - Gelb, Bruce D.
AU - Anagnostou, Evdokia
N1 - Publisher Copyright:
© 2024 The Author(s)
PY - 2024/8/15
Y1 - 2024/8/15
N2 - Individuals with congenital heart disease (CHD) have an increased risk of neurodevelopmental impairments. Given the hypothesized complexity linking genomics, atypical brain structure, cardiac diagnoses and their management, and neurodevelopmental outcomes, unsupervised methods may provide unique insight into neurodevelopmental variability in CHD. Using data from the Pediatric Cardiac Genomics Consortium Brain and Genes study, we identified data-driven subgroups of individuals with CHD from measures of brain structure. Using structural magnetic resonance imaging (MRI; N = 93; cortical thickness, cortical volume, and subcortical volume), we identified subgroups that differed primarily on cardiac anatomic lesion and language ability. In contrast, using diffusion MRI (N = 88; white matter connectivity strength), we identified subgroups that were characterized by differences in associations with rare genetic variants and visual-motor function. This work provides insight into the differential impacts of cardiac lesions and genomic variation on brain growth and architecture in patients with CHD, with potentially distinct effects on neurodevelopmental outcomes.
AB - Individuals with congenital heart disease (CHD) have an increased risk of neurodevelopmental impairments. Given the hypothesized complexity linking genomics, atypical brain structure, cardiac diagnoses and their management, and neurodevelopmental outcomes, unsupervised methods may provide unique insight into neurodevelopmental variability in CHD. Using data from the Pediatric Cardiac Genomics Consortium Brain and Genes study, we identified data-driven subgroups of individuals with CHD from measures of brain structure. Using structural magnetic resonance imaging (MRI; N = 93; cortical thickness, cortical volume, and subcortical volume), we identified subgroups that differed primarily on cardiac anatomic lesion and language ability. In contrast, using diffusion MRI (N = 88; white matter connectivity strength), we identified subgroups that were characterized by differences in associations with rare genetic variants and visual-motor function. This work provides insight into the differential impacts of cardiac lesions and genomic variation on brain growth and architecture in patients with CHD, with potentially distinct effects on neurodevelopmental outcomes.
KW - Brain structure
KW - Congenital heart disease
KW - Genetics
KW - Neurodevelopmental outcomes
KW - Unsupervised methods
UR - https://www.scopus.com/pages/publications/85197520833
U2 - 10.1016/j.neuroimage.2024.120721
DO - 10.1016/j.neuroimage.2024.120721
M3 - Article
C2 - 38968977
AN - SCOPUS:85197520833
SN - 1053-8119
VL - 297
JO - NeuroImage
JF - NeuroImage
M1 - 120721
ER -