Cerebral Spinal Fluid Volumetrics and Paralimbic Predictors of Executive Dysfunction in Congenital Heart Disease: A Machine Learning Approach Informing Mechanistic Insights

The relationship between increased cerebral spinal fluid (CSF) ventricular compartments, structural and microstructural dysmaturation, and executive function in patients with congenital heart disease (CHD) is unknown. Here, we leverage a novel machine-learning data-driven technique to delineate inte...

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Detalles Bibliográficos
Autores principales: Lee, Vince K., Wallace, Julia, Meyers, Benjamin, Racki, Adriana, Shah, Anushka, Beluk, Nancy H., Cabral, Laura, Beers, Sue, Badaly, Daryaneh, Lo, Cecilia, Panigrahy, Ashok, Ceschin, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615017/
https://www.ncbi.nlm.nih.gov/pubmed/37905005
http://dx.doi.org/10.1101/2023.10.16.23297055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615017/
https://www.ncbi.nlm.nih.gov/pubmed/37905005
http://dx.doi.org/10.1101/2023.10.16.23297055

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