Machine-learning based exploration of determinants of gray matter volume in the KORA-MRI study

To identify the most important factors that impact brain volume, while accounting for potential collinearity, we used a data-driven machine-learning approach. Gray Matter Volume (GMV) was derived from magnetic resonance imaging (3T, FLAIR) and adjusted for intracranial volume (ICV). 93 potential det...

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Detalles Bibliográficos
Autores principales: Galiè, Franziska, Rospleszcz, Susanne, Keeser, Daniel, Beller, Ebba, Illigens, Ben, Lorbeer, Roberto, Grosu, Sergio, Selder, Sonja, Auweter, Sigrid, Schlett, Christopher L., Rathmann, Wolfgang, Schwettmann, Lars, Ladwig, Karl-Heinz, Linseisen, Jakob, Peters, Annette, Bamberg, Fabian, Ertl-Wagner, Birgit, Stoecklein, Sophia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239887/
https://www.ncbi.nlm.nih.gov/pubmed/32433583
http://dx.doi.org/10.1038/s41598-020-65040-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239887/
https://www.ncbi.nlm.nih.gov/pubmed/32433583
http://dx.doi.org/10.1038/s41598-020-65040-x

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