Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group

Bipolar disorders (BDs) are among the leading causes of morbidity and disability. Objective biological markers, such as those based on brain imaging, could aid in clinical management of BD. Machine learning (ML) brings neuroimaging analyses to individual subject level and may potentially allow for t...

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Detalles Bibliográficos
Autores principales: Nunes, Abraham, Schnack, Hugo G., Ching, Christopher R. K., Agartz, Ingrid, Akudjedu, Theophilus N., Alda, Martin, Alnæs, Dag, Alonso-Lana, Silvia, Bauer, Jochen, Baune, Bernhard T., Bøen, Erlend, Bonnin, Caterina del Mar, Busatto, Geraldo F., Canales-Rodríguez, Erick J., Cannon, Dara M., Caseras, Xavier, Chaim-Avancini, Tiffany M., Dannlowski, Udo, Díaz-Zuluaga, Ana M., Dietsche, Bruno, Doan, Nhat Trung, Duchesnay, Edouard, Elvsåshagen, Torbjørn, Emden, Daniel, Eyler, Lisa T., Fatjó-Vilas, Mar, Favre, Pauline, Foley, Sonya F., Fullerton, Janice M., Glahn, David C., Goikolea, Jose M., Grotegerd, Dominik, Hahn, Tim, Henry, Chantal, Hibar, Derrek P., Houenou, Josselin, Howells, Fleur M., Jahanshad, Neda, Kaufmann, Tobias, Kenney, Joanne, Kircher, Tilo T. J., Krug, Axel, Lagerberg, Trine V., Lenroot, Rhoshel K., López-Jaramillo, Carlos, Machado-Vieira, Rodrigo, Malt, Ulrik F., McDonald, Colm, Mitchell, Philip B., Mwangi, Benson, Nabulsi, Leila, Opel, Nils, Overs, Bronwyn J., Pineda-Zapata, Julian A., Pomarol-Clotet, Edith, Redlich, Ronny, Roberts, Gloria, Rosa, Pedro G., Salvador, Raymond, Satterthwaite, Theodore D., Soares, Jair C., Stein, Dan J., Temmingh, Henk S., Trappenberg, Thomas, Uhlmann, Anne, van Haren, Neeltje E. M., Vieta, Eduard, Westlye, Lars T., Wolf, Daniel H., Yüksel, Dilara, Zanetti, Marcus V., Andreassen, Ole A., Thompson, Paul M., Hajek, Tomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473838/
https://www.ncbi.nlm.nih.gov/pubmed/30171211
http://dx.doi.org/10.1038/s41380-018-0228-9

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