Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

Autor: Vladimir Belov, Tracy Erwin-Grabner, Moji Aghajani, Andre Aleman, Alyssa R. Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Robin Bülow, Christopher R. K. Ching, Colm G. Connolly, Kathryn Cullen, Christopher G. Davey, Danai Dima, Annemiek Dols, Jennifer W. Evans, Cynthia H. Y. Fu, Ali Saffet Gonul, Ian H. Gotlib, Hans J. Grabe, Nynke Groenewold, J Paul Hamilton, Ben J. Harrison, Tiffany C. Ho, Benson Mwangi, Natalia Jaworska, Neda Jahanshad, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas Lancaster, Meng Li, David E. J. Linden, Frank P. MacMaster, David M. A. Mehler, Elisa Melloni, Bryon A. Mueller, Amar Ojha, Mardien L. Oudega, Brenda W. J. H. Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J. Portella, Elena Pozzi, Liesbeth Reneman, Matthew D. Sacchet, Philipp G. Sämann, Anouk Schrantee, Kang Sim, Jair C. Soares, Dan J. Stein, Sophia I. Thomopoulos, Aslihan Uyar-Demir, Nic J. A. van der Wee, Steven J. A. van der Werff, Henry Völzke, Sarah Whittle, Katharina Wittfeld, Margaret J. Wright, Mon-Ju Wu, Tony T. Yang, Carlos Zarate, Dick J. Veltman, Lianne Schmaal, Paul M. Thompson, Roberto Goya-Maldonado, the ENIGMA Major Depressive Disorder working group

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)

Abstract Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predictive power of the existing algorithms has been limited by smal

Externí odkaz: https://doaj.org/article/da78bdb629a3452faf57ce1549e6ab7a

Coordinated cortical thickness alterations across six neurodevelopmental and psychiatric disorders

Autor: M. D. Hettwer, S. Larivière, B. Y. Park, O. A. van den Heuvel, L. Schmaal, O. A. Andreassen, C. R. K. Ching, M. Hoogman, J. Buitelaar, D. van Rooij, D. J. Veltman, D. J. Stein, B. Franke, T. G. M. van Erp, ENIGMA ADHD Working Group, ENIGMA Autism Working Group, ENIGMA Bipolar Disorder Working Group, ENIGMA Major Depression Working Group, ENIGMA OCD Working Group, ENIGMA Schizophrenia Working Group, N. Jahanshad, P. M. Thompson, S. I. Thomopoulos, R. A. I. Bethlehem, B. C. Bernhardt, S. B. Eickhoff, S. L. Valk

Publikováno v: Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)

Neuropsychiatric disorders may have shared features. Here the authors identified hubs of transdiagnostic co-alteration networks using meta-analytical maps of ENIGMA neuroimaging data for six neurodevelopmental and psychiatric disorders.

Externí odkaz: https://doaj.org/article/2add61d6889b42fb83bceaab6937cca5

Local molecular and global connectomic contributions to cross-disorder cortical abnormalities

Autor: Justine Y. Hansen, Golia Shafiei, Jacob W. Vogel, Kelly Smart, Carrie E. Bearden, Martine Hoogman, Barbara Franke, Daan van Rooij, Jan Buitelaar, Carrie R. McDonald, Sanjay M. Sisodiya, Lianne Schmaal, Dick J. Veltman, Odile A. van den Heuvel, Dan J. Stein, Theo G. M. van Erp, Christopher R. K. Ching, Ole A. Andreassen, Tomas Hajek, Nils Opel, Gemma Modinos, André Aleman, Ysbrand van der Werf, Neda Jahanshad, Sophia I. Thomopoulos, Paul M. Thompson, Richard E. Carson, Alain Dagher, Bratislav Misic

Publikováno v: Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)

Changes to structural and functional connectivity can give rise to neurodegeneration and neurodevelopmental diseases. Here the authors investigate molecular and connectomic patterns in 13 different neurological, psychiatric and neurodevelopmental dis

Externí odkaz: https://doaj.org/article/11c2b0390df94b209db1b1e370e1f240

Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses

Autor: Johanna M. M. Bayer, Paul M. Thompson, Christopher R. K. Ching, Mengting Liu, Andrew Chen, Alana C. Panzenhagen, Neda Jahanshad, Andre Marquand, Lianne Schmaal, Philipp G. Sämann

Publikováno v: Frontiers in Neurology, Vol 13 (2022)

Site differences, or systematic differences in feature distributions across multiple data-acquisition sites, are a known source of heterogeneity that may adversely affect large-scale meta- and mega-analyses of independently collected neuroimaging dat

Externí odkaz: https://doaj.org/article/6712154179e246fcb1f711e42ffcdce3

1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans

Autor: Ida E. Sønderby, Dennis van der Meer, Clara Moreau, Tobias Kaufmann, G. Bragi Walters, Maria Ellegaard, Abdel Abdellaoui, David Ames, Katrin Amunts, Micael Andersson, Nicola J. Armstrong, Manon Bernard, Nicholas B. Blackburn, John Blangero, Dorret I. Boomsma, Henry Brodaty, Rachel M. Brouwer, Robin Bülow, Rune Bøen, Wiepke Cahn, Vince D. Calhoun, Svenja Caspers, Christopher R. K. Ching, Sven Cichon, Simone Ciufolini, Benedicto Crespo-Facorro, Joanne E. Curran, Anders M. Dale, Shareefa Dalvie, Paola Dazzan, Eco J. C. de Geus, Greig I. de Zubicaray, Sonja M. C. de Zwarte, Sylvane Desrivieres, Joanne L. Doherty, Gary Donohoe, Bogdan Draganski, Stefan Ehrlich, Else Eising, Thomas Espeseth, Kim Fejgin, Simon E. Fisher, Tormod Fladby, Oleksandr Frei, Vincent Frouin, Masaki Fukunaga, Thomas Gareau, Tian Ge, David C. Glahn, Hans J. Grabe, Nynke A. Groenewold, Ómar Gústafsson, Jan Haavik, Asta K. Haberg, Jeremy Hall, Ryota Hashimoto, Jayne Y. Hehir-Kwa, Derrek P. Hibar, Manon H. J. Hillegers, Per Hoffmann, Laurena Holleran, Avram J. Holmes, Georg Homuth, Jouke-Jan Hottenga, Hilleke E. Hulshoff Pol, Masashi Ikeda, Neda Jahanshad, Christiane Jockwitz, Stefan Johansson, Erik G. Jönsson, Niklas R. Jørgensen, Masataka Kikuchi, Emma E. M. Knowles, Kuldeep Kumar, Stephanie Le Hellard, Costin Leu, David E. J. Linden, Jingyu Liu, Arvid Lundervold, Astri Johansen Lundervold, Anne M. Maillard, Nicholas G. Martin, Sandra Martin-Brevet, Karen A. Mather, Samuel R. Mathias, Katie L. McMahon, Allan F. McRae, Sarah E. Medland, Andreas Meyer-Lindenberg, Torgeir Moberget, Claudia Modenato, Jennifer Monereo Sánchez, Derek W. Morris, Thomas W. Mühleisen, Robin M. Murray, Jacob Nielsen, Jan E. Nordvik, Lars Nyberg, Loes M. Olde Loohuis, Roel A. Ophoff, Michael J. Owen, Tomas Paus, Zdenka Pausova, Juan M. Peralta, G. Bruce Pike, Carlos Prieto, Erin B. Quinlan, Céline S. Reinbold, Tiago Reis Marques, James J. H. Rucker, Perminder S. Sachdev, Sigrid B. Sando, Peter R. Schofield, Andrew J. Schork, Gunter Schumann, Jean Shin, Elena Shumskaya, Ana I. Silva, Sanjay M. Sisodiya, Vidar M. Steen, Dan J. Stein, Lachlan T. Strike, Ikuo K. Suzuki, Christian K. Tamnes, Alexander Teumer, Anbupalam Thalamuthu, Diana Tordesillas-Gutiérrez, Anne Uhlmann, Magnus O. Ulfarsson, Dennis van ‘t Ent, Marianne B. M. van den Bree, Pierre Vanderhaeghen, Evangelos Vassos, Wei Wen, Katharina Wittfeld, Margaret J. Wright, Ingrid Agartz, Srdjan Djurovic, Lars T. Westlye, Hreinn Stefansson, Kari Stefansson, Sébastien Jacquemont, Paul M. Thompson, Ole A. Andreassen, for the ENIGMA-CNV working group

Publikováno v: Translational Psychiatry, Vol 11, Iss 1, Pp 1-16 (2021)

Abstract Low-frequency 1q21.1 distal deletion and duplication copy number variant (CNV) carriers are predisposed to multiple neurodevelopmental disorders, including schizophrenia, autism and intellectual disability. Human carriers display a high prev

Externí odkaz: https://doaj.org/article/d73de80b364645c5b361b86e0292b8a5