Machine Learning Prediction of Estimated Risk for Bipolar Disorders Using Hippocampal Subfield and Amygdala Nuclei Volumes

The pathophysiology of bipolar disorder (BD) remains mostly unclear. Yet, a valid biomarker is necessary to improve upon the early detection of this serious disorder. Patients with manifest BD display reduced volumes of the hippocampal subfields and amygdala nuclei. In this pre-registered analysis,...

Descripción completa

Detalles Bibliográficos
Autores principales: Huth, Fabian, Tozzi, Leonardo, Marxen, Michael, Riedel, Philipp, Bröckel, Kyra, Martini, Julia, Berndt, Christina, Sauer, Cathrin, Vogelbacher, Christoph, Jansen, Andreas, Kircher, Tilo, Falkenberg, Irina, Thomas-Odenthal, Florian, Lambert, Martin, Kraft, Vivien, Leicht, Gregor, Mulert, Christoph, Fallgatter, Andreas J., Ethofer, Thomas, Rau, Anne, Leopold, Karolina, Bechdolf, Andreas, Reif, Andreas, Matura, Silke, Biere, Silvia, Bermpohl, Felix, Fiebig, Jana, Stamm, Thomas, Correll, Christoph U., Juckel, Georg, Flasbeck, Vera, Ritter, Philipp, Bauer, Michael, Pfennig, Andrea, Mikolas, Pavol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296102/
https://www.ncbi.nlm.nih.gov/pubmed/37371350
http://dx.doi.org/10.3390/brainsci13060870

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296102/
https://www.ncbi.nlm.nih.gov/pubmed/37371350
http://dx.doi.org/10.3390/brainsci13060870

Ejemplares similares