Browsing Høstingsarkiver by Author "Yüksel, Dilara"

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  • Brain structural correlates of insomnia severity in 1053 individuals with major depressive disorder: results from the ENIGMA MDD Working Group 
    Leerssen, Jeanne; Blanken, Tessa F.; Pozzi, Elena; Jahanshad, Neda; Aftanas, Lyubomir; Andreassen, Ole Andreas; Baune, Bernhard T.; Brack, Ivan; Carballedo, Angela; Ching, Christopher; Dannlowski, Udo; Dohm, Katharina; Enneking, Verena; Filimonova, Elena; Fingas, Stella M.; Frodl, Thomas; Godlewska, Beata; Goltermann, Janik; Gotlib, Ian H.; Grotegerd, Dominik; Gruber, Oliver; Harris, Mathew A.; Hatton, Sean N.; Hawkins, Emma L.; Hickie, Ian B.; Jaworska, Natalia; Kircher, Tilo; Krug, Axel; Lagopoulos, Jim; Lemke, Hannah; Li, Meng; MacMaster, Frank P.; McIntosh, Andrew M.; McLellan, Quinn; Meinert, Susanne; Mwangi, Benson; Nenadic, Igor; Osipov, Evgeny; Portella, Maria J.; Redlich, Ronny; Repple, Jonathan; Sacchet, Matthew D.; Sämann, Philipp G.; Simulionyte, Egle; Soares, Jair C.; Walter, Martin; Watanabe, Norio; Whalley, Heather C.; Yüksel, Dilara; Veltman, Dick J.; Thompson, Paul M.; Schmaal, Lianne; Van Someren, Eus J. W. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    Abstract It has been difficult to find robust brain structural correlates of the overall severity of major depressive disorder (MDD). We hypothesized that specific symptoms may better reveal correlates and investigated ...
  • Using structural MRI to identify bipolar disorders ? 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group 
    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-Rodriguez, 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; Houenou, Josselin; Howells, Fleur M.; Jahanshad, Neda; Kaufmann, Tobias; Kenney, Joanne; Kircher, Tilo T.J.; Krug, Axel; Lagerberg, Trine Vik; Lenroot, Rhoshel K.; López-Jaramillo, Carlos; Machado-Vieira, Rodrigo; Malt, Ulrik Fredrik; 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 Tjelta; Wolf, Daniel H.; Yüksel, Dilara; Zanetti, Marcus V.; Andreassen, Ole Andreas; Thompson, Paul M.; Hájek, Tomás (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
    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 ...