DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features

Autor: Belov, Vladimir, Erwin-Grabner, Tracy, Zeng, Ling-Li, Ching, Christopher R. K., Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Brosch, Katharina, Bülow, Robin, Colle, Romain, Connolly, Colm G., Corruble, Emmanuelle, Couvy-Duchesne, Baptiste, Cullen, Kathryn, Dannlowski, Udo, Davey, Christopher G., Dols, Annemiek, Ernsting, Jan, Evans, Jennifer W., Fisch, Lukas, Fuentes-Claramonte, Paola, Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke A., Grotegerd, Dominik, Hahn, Tim, Hamilton, J. Paul, Han, Laura K. M., Harrison, Ben J, Ho, Tiffany C., Jahanshad, Neda, Jamieson, Alec J., Karuk, Andriana, Kircher, Tilo, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Leenings, Ramona, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Meinert, Susanne, Melloni, Elisa, Mueller, Bryon A., Mwangi, Benson, Nenadić, Igor, Ojha, Amar, Okamoto, Yasumasa, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Radua, Joaquim, Rodríguez-Cano, Elena, Sacchet, Matthew D., Salvador, Raymond, Schrantee, Anouk, Sim, Kang, Soares, Jair C., Solanes, Aleix, Stein, Dan J., Stein, Frederike, Stolicyn, Aleks, Thomopoulos, Sophia I., Toenders, Yara J., Uyar-Demir, Aslihan, Vieta, Eduard, Vives-Gilabert, Yolanda, Völzke, Henry, Walter, Martin, Whalley, Heather C., Whittle, Sarah, Winter, Nils, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto

Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, likely due t

Externí odkaz: http://arxiv.org/abs/2311.11046

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

Brain activity during Stroop task performance at age 74 after exposure to the Dutch famine during early gestation

Autor: Boots, A., Schrantee, A., Wiegersma, A.M., Aflalo, S., Groot, P.F.C., Roseboom, T.J., de Rooij, S.R.

Publikováno v: In Brain and Cognition June 2024 177

Glutamate and GABA levels in the anterior cingulate cortex in treatment resistant first episode psychosis patients

Autor: van der Pluijm, Marieke, Alting, Maartje, Schrantee, Anouk, Edden, Richard A.E., Booij, Jan, de Haan, Lieuwe, van de Giessen, Elsmarieke

Publikováno v: In Schizophrenia Research February 2024 264:471-478

Intestinal acetate and butyrate availability is associated with glucose metabolism in healthy individuals

Autor: Madelief Wijdeveld, Anouk Schrantee, Anouk Hagemeijer, Aart J. Nederveen, Torsten P.M. Scheithauer, Johannes H.M. Levels, Andrei Prodan, Willem M. de Vos, Max Nieuwdorp, Richard G. Ijzerman

Publikováno v: iScience, Vol 26, Iss 12, Pp 108478- (2023)

Summary: Animal studies suggest that short-chain fatty acids acetate and butyrate are key players in the gut-brain axis and may affect insulin sensitivity. We investigated the association of intestinal acetate and butyrate availability (measured by b

Externí odkaz: https://doaj.org/article/09d4dd24ff9c4f06bae958ab960b6d3d