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

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

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 ins...

Full description

Bibliographic Details
Main 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
Format: Article
Language:English
Published: Elsevier 2024-08-01
Series:NeuroImage
Subjects:
Congenital heart disease
Brain structure
Genetics
Unsupervised methods
Neurodevelopmental outcomes
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811924002155

Internet

http://www.sciencedirect.com/science/article/pii/S1053811924002155

Similar Items