Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure

Vandewouw, M. M., Norris-Brilliant, A., Rahman, A., Assimopoulos, S., Morton, S. U., Kushki, A., Cunningham, S., King, E., Goldmuntz, E., Miller, T. A., Thomas, N. H., Adams, H. R., Cleveland, J., Cnota, J. F., Ellen Grant, P., Goldberg, C. S., Huang, H., Li, J. S., McQuillen, P., … Anagnostou, E. (2024). Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure. NeuroImage, 297, 120721. https://doi.org/10.1016/j.neuroimage.2024.120721
Authors:
Marlee M Vandewouw
Ami Norris-Brilliant
Anum Rahman
Stephania Assimopoulos
Sarah U Morton
Azadeh Kushki
Sean Cunningham
Eileen King
Elizabeth Goldmuntz
Thomas A Miller
Nina H Thomas
Heather R Adams
John Cleveland
James F Cnota
P Ellen Grant
Caren S Goldberg
Hao Huang
Jennifer S Li
Patrick McQuillen
George A Porter
Amy E Roberts
Mark W Russell
Christine E Seidman
Madalina E Tivarus
Wendy K Chung
Donald J Hagler
Jane W Newburger
Ashok Panigrahy
Jason P Lerch
Bruce D Gelb
Evdokia Anagnostou
Affiliated Authors:
Wendy K Chung
Columbia Affiliation:
Subjects:
Heart Defects, Congenital (MeSH)
Magnetic Resonance Imaging (MeSH)
Brain (MeSH)
Author Keywords:
congenital heart disease
brain structure
genetics
unsupervised methods
neurodevelopmental outcomes
elink
Publication Type:
Article
Unique ID:
10.1016/j.neuroimage.2024.120721
PMID:
38968977
DOI:
10.1016/j.neuroimage.2024.120721
Journal:
NeuroImage
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
View Web of Science Record

Record Created: