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

Nunes, Abraham; G. Schnack, Hugo; R. K. Ching, Christopher; Agartz, Ingrid; N. Akudjedu, Theophilus; Alda, Martin; Alnæs, Dag; Alonso-Lana, Sílvia; Bauer, Jochen; T. Baune, Bernhard; Bøen, Erlend; del Mar Bonnín, Caterina; F. Busatto, Geraldo; J. Canales‐Rodríguez, Erick; M. Cannon, Dara; Caseras, Xavier; Chaim-Avancini, Tiffany; Dannlowski, Udo; M. Díaz‐Zuluaga, Ana; Dietsche, Bruno; Trung Doan, Nhat; Duchesnay, Édouard; Elvsåshagen, Torbjørn; Emden, Daniel; T. Eyler, Lisa; Fatjó‐Vilas, Mar; Favre, Pauline; Foley, Sonya; M. Fullerton, Janice; C. Glahn, David; Manuel Goikolea, José; Grotegerd, Dominik; Hahn, Tim; Henry, Chantal; P. Hibar, Derrek; Houenou, Josselin; M. Howells, Fleur; Jahanshad, Neda; Kaufmann, Tobias; Kenney, Joanne; Kircher, Tilo; Krug, Axel; Vik Lagerberg, Trine; Lenroot, Rhoshel; López‐Jaramillo, Carlos; Machado‐Vieira, Rodrigo; Fredrik Malt, Ulrik; McDonald, Colm; B. Mitchell, Philip; Mwangi, Benson; Nabulsi, Leila; Opel, Nils; J. Overs, Bronwyn; A. Pineda‐Zapata, Julian; Pomarol‐Clotet, Edith; Redlich, Ronny; Roberts, Gloria; G. P. Rosa, Pedro; Salvador, Raymond; D. Satterthwaite, Theodore; C. Soares, Jair; J. Stein, Dan; Temmingh, Henk; Trappenberg, Thomas; Uhlmann, Anne; E.M. van Haren, Neeltje; Vieta, Eduard; T. Westlye, Lars; H. Wolf, Daniel; Yüksel, Dilara; V. Zanetti, Marcus; A. Andreassen, Ole; M. Thompson, Paul; Hájek, Tomáš; the ENIGMA Bipolar Disorders Working Group, for

doi:10.1038/s41380-018-0228-9

Public

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

Published in Molecular Psychiatry • Aug 31, 2018

Authors:

Abraham Nunes

Hugo G. Schnack

Christopher R. K. Ching

Abstract

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...

Subject

Neuroimaging

Kappa

Bipolar disorder

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