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

Author

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., and Goya-Maldonado, Roberto

Subjects
Quantitative Biology - Quantitative Methods, Computer Science - Machine Learning, Quantitative Biology - Neurons and Cognition
Abstract

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 to the heterogeneity of this disorder. The application of deep learning tools to neuroimaging data, capable of capturing complex non-linear patterns, has the potential to provide diagnostic and predictive biomarkers for MDD. However, previous attempts to demarcate MDD patients and healthy controls (HC) based on segmented cortical features via linear machine learning approaches have reported low accuracies. In this study, we used globally representative data from the ENIGMA-MDD working group containing an extensive sample of people with MDD (N=2,772) and HC (N=4,240), which allows a comprehensive analysis with generalizable results. Based on the hypothesis that integration of vertex-wise cortical features can improve classification performance, we evaluated the classification of a DenseNet and a Support Vector Machine (SVM), with the expectation that the former would outperform the latter. As we analyzed a multi-site sample, we additionally applied the ComBat harmonization tool to remove potential nuisance effects of site. We found that both classifiers exhibited close to chance performance (balanced accuracy DenseNet: 51%; SVM: 53%), when estimated on unseen sites. Slightly higher classification performance (balanced accuracy DenseNet: 58%; SVM: 55%) was found when the cross-validation folds contained subjects from all sites, indicating site effect. In conclusion, the integration of vertex-wise morphometric features and the use of the non-linear classifier did not lead to the differentiability between MDD and HC. Our results support the notion that MDD classification on this combination of features and classifiers is unfeasible.

Published
2023

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

Author

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

Published
2024
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4. White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group

Author

Kim, Bo-Gyeom, Kim, Gakyung, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie, Anticevic, Alan, Arnold, Paul D., Balachander, Srinivas, Banaj, Nerisa, Bargalló, Nuria, Batistuzzo, Marcelo C., Benedetti, Francesco, Bertolín, Sara, Beucke, Jan Carl, Bollettini, Irene, Brem, Silvia, Brennan, Brian P., Buitelaar, Jan K., Calvo, Rosa, Castelo-Branco, Miguel, Cheng, Yuqi, Chhatkuli, Ritu Bhusal, Ciullo, Valentina, Coelho, Ana, Couto, Beatriz, Dallaspezia, Sara, Ely, Benjamin A., Ferreira, Sónia, Fontaine, Martine, Fouche, Jean-Paul, Grazioplene, Rachael, Gruner, Patricia, Hagen, Kristen, Hansen, Bjarne, Hanna, Gregory L., Hirano, Yoshiyuki, Höxter, Marcelo Q., Hough, Morgan, Hu, Hao, Huyser, Chaim, Ikuta, Toshikazu, Jahanshad, Neda, James, Anthony, Jaspers-Fayer, Fern, Kasprzak, Selina, Kathmann, Norbert, Kaufmann, Christian, Kim, Minah, Koch, Kathrin, Kvale, Gerd, Kwon, Jun Soo, Lazaro, Luisa, Lee, Junhee, Lochner, Christine, Lu, Jin, Manrique, Daniela Rodriguez, Martínez-Zalacaín, Ignacio, Masuda, Yoshitada, Matsumoto, Koji, Maziero, Maria Paula, Menchón, Jose M., Minuzzi, Luciano, Moreira, Pedro Silva, Morgado, Pedro, Narayanaswamy, Janardhanan C., Narumoto, Jin, Ortiz, Ana E., Ota, Junko, Pariente, Jose C., Perriello, Chris, Picó-Pérez, Maria, Pittenger, Christopher, Poletti, Sara, Real, Eva, Reddy, Y. C. Janardhan, van Rooij, Daan, Sakai, Yuki, Sato, João Ricardo, Segalas, Cinto, Shavitt, Roseli G., Shen, Zonglin, Shimizu, Eiji, Shivakumar, Venkataram, Soreni, Noam, Soriano-Mas, Carles, Sousa, Nuno, Sousa, Mafalda Machado, Spalletta, Gianfranco, Stern, Emily R., Stewart, S. Evelyn, Szeszko, Philip R., Thomas, Rajat, Thomopoulos, Sophia I., Vecchio, Daniela, Venkatasubramanian, Ganesan, Vriend, Chris, Walitza, Susanne, Wang, Zhen, Watanabe, Anri, Wolters, Lidewij, Xu, Jian, Yamada, Kei, Yun, Je-Yeon, Zarei, Mojtaba, Zhao, Qing, Zhu, Xi, Thompson, Paul M., Bruin, Willem B., van Wingen, Guido A., Piras, Federica, Piras, Fabrizio, Stein, Dan J., van den Heuvel, Odile A., Simpson, Helen Blair, Marsh, Rachel, and Cha, Jiook

Published
2024
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5. Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning

Author

Bruin, Willem B., Zhutovsky, Paul, van Wingen, Guido A., Bas-Hoogendam, Janna Marie, Groenewold, Nynke A., Hilbert, Kevin, Winkler, Anderson M., Zugman, Andre, Agosta, Federica, Åhs, Fredrik, Andreescu, Carmen, Antonacci, Chase, Asami, Takeshi, Assaf, Michal, Barber, Jacques P., Bauer, Jochen, Bavdekar, Shreya Y., Beesdo-Baum, Katja, Benedetti, Francesco, Bernstein, Rachel, Björkstrand, Johannes, Blair, Robert J., Blair, Karina S., Blanco-Hinojo, Laura, Böhnlein, Joscha, Brambilla, Paolo, Bressan, Rodrigo A., Breuer, Fabian, Cano, Marta, Canu, Elisa, Cardinale, Elise M., Cardoner, Narcís, Cividini, Camilla, Cremers, Henk, Dannlowski, Udo, Diefenbach, Gretchen J., Domschke, Katharina, Doruyter, Alexander G. G., Dresler, Thomas, Erhardt, Angelika, Filippi, Massimo, Fonzo, Gregory A., Freitag, Gabrielle F., Furmark, Tomas, Ge, Tian, Gerber, Andrew J., Gosnell, Savannah N., Grabe, Hans J., Grotegerd, Dominik, Gur, Ruben C., Gur, Raquel E., Hamm, Alfons O., Han, Laura K. M., Harper, Jennifer C., Harrewijn, Anita, Heeren, Alexandre, Hofmann, David, Jackowski, Andrea P., Jahanshad, Neda, Jett, Laura, Kaczkurkin, Antonia N., Khosravi, Parmis, Kingsley, Ellen N., Kircher, Tilo, Kostic, Milutin, Larsen, Bart, Lee, Sang-Hyuk, Leehr, Elisabeth J., Leibenluft, Ellen, Lochner, Christine, Lui, Su, Maggioni, Eleonora, Manfro, Gisele G., Månsson, Kristoffer N. T., Marino, Claire E., Meeten, Frances, Milrod, Barbara, Jovanovic, Ana Munjiza, Mwangi, Benson, Myers, Michael J., Neufang, Susanne, Nielsen, Jared A., Ohrmann, Patricia A., Ottaviani, Cristina, Paulus, Martin P., Perino, Michael T., Phan, K. Luan, Poletti, Sara, Porta-Casteràs, Daniel, Pujol, Jesus, Reinecke, Andrea, Ringlein, Grace V., Rjabtsenkov, Pavel, Roelofs, Karin, Salas, Ramiro, Salum, Giovanni A., Satterthwaite, Theodore D., Schrammen, Elisabeth, Sindermann, Lisa, Smoller, Jordan W., Soares, Jair C., Stark, Rudolf, Stein, Frederike, Straube, Thomas, Straube, Benjamin, Strawn, Jeffrey R., Suarez-Jimenez, Benjamin, Sylvester, Chad M., Talati, Ardesheer, Thomopoulos, Sophia I., Tükel, Raşit, van Nieuwenhuizen, Helena, Werwath, Kathryn, Wittfeld, Katharina, Wright, Barry, Wu, Mon-Ju, Yang, Yunbo, Zilverstand, Anna, Zwanzger, Peter, Blackford, Jennifer U., Avery, Suzanne N., Clauss, Jacqueline A., Lueken, Ulrike, Thompson, Paul M., Pine, Daniel S., Stein, Dan J., van der Wee, Nic J. A., Veltman, Dick J., and Aghajani, Moji

Published
2024
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6. Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

Author

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

Subjects
Quantitative Biology - Quantitative Methods
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 small sample sizes, lack of representativeness, data leakage, and/or overfitting. Here, we overcome these limitations with the largest multi-site sample size to date (n=5,356) to provide a generalizable ML classification benchmark of major depressive disorder (MDD). Using brain measures from standardized ENIGMA analysis pipelines in FreeSurfer, we were able to classify MDD vs healthy controls (HC) with around 62% balanced accuracy, but when harmonizing the data using ComBat balanced accuracy dropped to approximately 52%. Similar results were observed in stratified groups according to age of onset, antidepressant use, number of episodes and sex. Future studies incorporating higher dimensional brain imaging/phenotype features, and/or using more advanced machine and deep learning methods may achieve more encouraging prospects., Comment: main document 37 pages; supplementary material 24 pages

Published
2022

7. Multimodal brain-derived subtypes of Major depressive disorder differentiate patients for anergic symptoms, immune-inflammatory markers, history of childhood trauma and treatment-resistance

Author

Colombo, Federica, Calesella, Federico, Bravi, Beatrice, Fortaner-Uyà, Lidia, Monopoli, Camilla, Tassi, Emma, Carminati, Matteo, Zanardi, Raffaella, Bollettini, Irene, Poletti, Sara, Lorenzi, Cristina, Spadini, Sara, Brambilla, Paolo, Serretti, Alessandro, Maggioni, Eleonora, Fabbri, Chiara, Benedetti, Francesco, and Vai, Benedetta

Published
2024
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9. A Delphi-method-based consensus guideline for definition of treatment-resistant depression for clinical trials

Author

Sforzini, Luca, Worrell, Courtney, Kose, Melisa, Anderson, Ian M, Aouizerate, Bruno, Arolt, Volker, Bauer, Michael, Baune, Bernhard T, Blier, Pierre, Cleare, Anthony J, Cowen, Philip J, Dinan, Timothy G, Fagiolini, Andrea, Ferrier, I Nicol, Hegerl, Ulrich, Krystal, Andrew D, Leboyer, Marion, McAllister-Williams, R Hamish, McIntyre, Roger S, Meyer-Lindenberg, Andreas, Miller, Andrew H, Nemeroff, Charles B, Normann, Claus, Nutt, David, Pallanti, Stefano, Pani, Luca, Penninx, Brenda WJH, Schatzberg, Alan F, Shelton, Richard C, Yatham, Lakshmi N, Young, Allan H, Zahn, Roland, Aislaitner, Georgios, Butlen-Ducuing, Florence, Fletcher, Christine, Haberkamp, Marion, Laughren, Thomas, Mäntylä, Fanni-Laura, Schruers, Koen, Thomson, Andrew, Arteaga-Henríquez, Gara, Benedetti, Francesco, Cash-Gibson, Lucinda, Chae, Woo Ri, De Smedt, Heidi, Gold, Stefan M, Hoogendijk, Witte JG, Mondragón, Valeria Jordán, Maron, Eduard, Martynowicz, Jadwiga, Melloni, Elisa, Otte, Christian, Perez-Fuentes, Gabriela, Poletti, Sara, Schmidt, Mark E, van de Ketterij, Edwin, Woo, Katherine, Flossbach, Yanina, Ramos-Quiroga, J Antoni, Savitz, Adam J, and Pariante, Carmine M

Subjects
Clinical Trials and Supportive Activities, Depression, Clinical Research, Mental Health, Brain Disorders, Serious Mental Illness, Major Depressive Disorder, Good Health and Well Being, Depressive Disorder, Major, Depressive Disorder, Treatment-Resistant, Humans, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

Criteria for treatment-resistant depression (TRD) and partially responsive depression (PRD) as subtypes of major depressive disorder (MDD) are not unequivocally defined. In the present document we used a Delphi-method-based consensus approach to define TRD and PRD and to serve as operational criteria for future clinical studies, especially if conducted for regulatory purposes. We reviewed the literature and brought together a group of international experts (including clinicians, academics, researchers, employees of pharmaceutical companies, regulatory bodies representatives, and one person with lived experience) to evaluate the state-of-the-art and main controversies regarding the current classification. We then provided recommendations on how to design clinical trials, and on how to guide research in unmet needs and knowledge gaps. This report will feed into one of the main objectives of the EUropean Patient-cEntric clinicAl tRial pLatforms, Innovative Medicines Initiative (EU-PEARL, IMI) MDD project, to design a protocol for platform trials of new medications for TRD/PRD.

Published
2022

12. What we learn about bipolar disorder from large‐scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group

Author

Ching, Christopher RK, Hibar, Derrek P, Gurholt, Tiril P, Nunes, Abraham, Thomopoulos, Sophia I, Abé, Christoph, Agartz, Ingrid, Brouwer, Rachel M, Cannon, Dara M, Zwarte, Sonja MC, Eyler, Lisa T, Favre, Pauline, Hajek, Tomas, Haukvik, Unn K, Houenou, Josselin, Landén, Mikael, Lett, Tristram A, McDonald, Colm, Nabulsi, Leila, Patel, Yash, Pauling, Melissa E, Paus, Tomas, Radua, Joaquim, Soeiro‐de‐Souza, Marcio G, Tronchin, Giulia, Haren, Neeltje EM, Vieta, Eduard, Walter, Henrik, Zeng, Ling‐Li, Alda, Martin, Almeida, Jorge, Alnæs, Dag, Alonso‐Lana, Silvia, Altimus, Cara, Bauer, Michael, Baune, Bernhard T, Bearden, Carrie E, Bellani, Marcella, Benedetti, Francesco, Berk, Michael, Bilderbeck, Amy C, Blumberg, Hilary P, Bøen, Erlend, Bollettini, Irene, Bonnin, Caterina Mar, Brambilla, Paolo, Canales‐Rodríguez, Erick J, Caseras, Xavier, Dandash, Orwa, Dannlowski, Udo, Delvecchio, Giuseppe, Díaz‐Zuluaga, Ana M, Dima, Danai, Duchesnay, Édouard, Elvsåshagen, Torbjørn, Fears, Scott C, Frangou, Sophia, Fullerton, Janice M, Glahn, David C, Goikolea, Jose M, Green, Melissa J, Grotegerd, Dominik, Gruber, Oliver, Haarman, Bartholomeus CM, Henry, Chantal, Howells, Fleur M, Ives‐Deliperi, Victoria, Jansen, Andreas, Kircher, Tilo TJ, Knöchel, Christian, Kramer, Bernd, Lafer, Beny, López‐Jaramillo, Carlos, Machado‐Vieira, Rodrigo, MacIntosh, Bradley J, Melloni, Elisa MT, Mitchell, Philip B, Nenadic, Igor, Nery, Fabiano, Nugent, Allison C, Oertel, Viola, Ophoff, Roel A, Ota, Miho, Overs, Bronwyn J, Pham, Daniel L, Phillips, Mary L, Pineda‐Zapata, Julian A, Poletti, Sara, Polosan, Mircea, Pomarol‐Clotet, Edith, Pouchon, Arnaud, Quidé, Yann, Rive, Maria M, Roberts, Gloria, Ruhe, Henricus G, Salvador, Raymond, Sarró, Salvador, Satterthwaite, Theodore D, Schene, Aart H, and Sim, Kang

Subjects
Serious Mental Illness, Brain Disorders, Biomedical Imaging, Bipolar Disorder, Clinical Research, Behavioral and Social Science, Mental Health, Neurosciences, Mental health, Neurological, Good Health and Well Being, Cerebral Cortex, Humans, Magnetic Resonance Imaging, Meta-Analysis as Topic, Multicenter Studies as Topic, Neuroimaging, bipolar disorder, cortical surface area, cortical thickness, ENIGMA, mega-analysis, meta-analysis, MRI, neuroimaging, psychiatry, volume, ENIGMA Bipolar Disorder Working Group, Cognitive Sciences, Experimental Psychology
Abstract

MRI-derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis-driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Working Group applies standardized processing and analysis techniques to empower large-scale meta- and mega-analyses of multimodal brain MRI and improve the replicability of studies relating brain variation to clinical and genetic data. Initial BD Working Group studies reveal widespread patterns of lower cortical thickness, subcortical volume and disrupted white matter integrity associated with BD. Findings also include mapping brain alterations of common medications like lithium, symptom patterns and clinical risk profiles and have provided further insights into the pathophysiological mechanisms of BD. Here we discuss key findings from the BD working group, its ongoing projects and future directions for large-scale, collaborative studies of mental illness.

Published
2022

13. Correction: White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group

Author

Kim, Bo-Gyeom, Kim, Gakyung, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie, Anticevic, Alan, Arnold, Paul D., Balachander, Srinivas, Banaj, Nerisa, Bargalló, Nuria, Batistuzzo, Marcelo C., Benedetti, Francesco, Bertolín, Sara, Beucke, Jan Carl, Bollettini, Irene, Brem, Silvia, Brennan, Brian P., Buitelaar, Jan K., Calvo, Rosa, Castelo-Branco, Miguel, Cheng, Yuqi, Chhatkuli, Ritu Bhusal, Ciullo, Valentina, Coelho, Ana, Couto, Beatriz, Dallaspezia, Sara, Ely, Benjamin A., Ferreira, Sónia, Fontaine, Martine, Fouche, Jean-Paul, Grazioplene, Rachael, Gruner, Patricia, Hagen, Kristen, Hansen, Bjarne, Hanna, Gregory L., Hirano, Yoshiyuki, Höxter, Marcelo Q., Hough, Morgan, Hu, Hao, Huyser, Chaim, Ikuta, Toshikazu, Jahanshad, Neda, James, Anthony, Jaspers-Fayer, Fern, Kasprzak, Selina, Kathmann, Norbert, Kaufmann, Christian, Kim, Minah, Koch, Kathrin, Kvale, Gerd, Kwon, Jun Soo, Lazaro, Luisa, Lee, Junhee, Lochner, Christine, Lu, Jin, Manrique, Daniela Rodriguez, Martínez-Zalacaín, Ignacio, Masuda, Yoshitada, Matsumoto, Koji, Maziero, Maria Paula, Menchón, Jose M., Minuzzi, Luciano, Moreira, Pedro Silva, Morgado, Pedro, Narayanaswamy, Janardhanan C., Narumoto, Jin, Ortiz, Ana E., Ota, Junko, Pariente, Jose C., Perriello, Chris, Picó-Pérez, Maria, Pittenger, Christopher, Poletti, Sara, Real, Eva, Reddy, Y. C. Janardhan, van Rooij, Daan, Sakai, Yuki, Sato, João Ricardo, Segalas, Cinto, Shavitt, Roseli G., Shen, Zonglin, Shimizu, Eiji, Shivakumar, Venkataram, Soreni, Noam, Soriano-Mas, Carles, Sousa, Nuno, Sousa, Mafalda Machado, Spalletta, Gianfranco, Stern, Emily R., Stewart, S. Evelyn, Szeszko, Philip R., Thomas, Rajat, Thomopoulos, Sophia I., Vecchio, Daniela, Venkatasubramanian, Ganesan, Vriend, Chris, Walitza, Susanne, Wang, Zhen, Watanabe, Anri, Wolters, Lidewij, Xu, Jian, Yamada, Kei, Yun, Je-Yeon, Zarei, Mojtaba, Zhao, Qing, Zhu, Xi, Thompson, Paul M., Bruin, Willem B., van Wingen, Guido A., Piras, Federica, Piras, Fabrizio, Stein, Dan J., van den Heuvel, Odile A., Simpson, Helen Blair, Marsh, Rachel, and Cha, Jiook

Published
2024
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16. Current state-of-the-art and gaps in platform trials: 10 things you should know, insights from EU-PEARL

Author

Sánchez-Montalva, Adrian, Estevez, Ana Belén, Sánchez, Àlex, Sanjuan, Anna, Sena, Elena, Granados, Emma, Arévalo de Andrés, Esther, Nuñez, Fátima, Arteaga, Gara, Fuentes Ruiz, Gabriela Perez, Fernández, Guillermo, Rivera-Esteban, Jesus, Comella, Joan, Ramos-Quiroga, Josep Antoni, Genescà, Joan, Espinosa, Juan, Pericàs, Juan Manuel, Murcia, Lada, Cash-Gibson, Lucinda, de Valles Silvosa, Maria, Barroso de Sousa, María Fernanda, Sánchez-Maroto Carrizo, Olga, Ibañez-Jiménez, Pol, Augustin, Salvador, Perez-Hoyos, Santiago, Rodríguez-Navarro, Sarai, Muñoz-Martínez, Sergio, Serres, Silvia, Kalko, Susana, Michon, Amelie, Ussi, Anton, Lydall, Ben, van de Ketterij, Edwin, Quiles, Ignacio, Carapina, Tamara, Kumaus, Constantin, Ramazanova, Dariga, Meyer, Elias Laurin, Koenig, Franz, Roig, Marta Bofill, Brunner, Martin, Posch, Martin, Krotka, Pavla, Zehetmayer, Sonja, Carton, Charlotte, Legius, Eric, Begum, Amina, Pariante, Carmine, Worrell, Courtney, Lombardo, Giulia, Sforzini, Luca, Brown, Mollie, Gullet, Nancy, Amasi-Hartoonian, Nare, Ferner, Rosalie, Kose, Melisa, Spitaleri, Andrea, Ghodousi, Arash, Di Serio, Clelia, Cirillo, Daniela, Cugnata, Federica, Saluzzo, Francesca, Benedetti, Francesco, Scarale, Maria Giovanna, Zini, Michela, Rancoita, Paola Maria, Alagna, Riccardo, Poletti, Sara, Dhaenens, Britt, Van Der Lei, Johan, de Steenwinkel, Jurriaan, Moinat, Maxim, Oostenbrink, Rianne, Hoogendijk, Witte, Hölscher, Michael, Heinrich, Norbert, Otte, Christian, Potratz, Cornelia, Zocholl, Dario, Kulakova, Eugenia, Tacke, Frank, Brasanac, Jelena, Leubner, Jonas, Krajewska, Maja, Freitag, Michaela Maria, Gold, Stefan, Zoller, Thomas, Chae, Woo Ri, Daniel, Christel, Kara, Leila, Vaterkowski, Morgan, Griffon, Nicolas, Wolkenstein, Pierre, Pais, Raluca, Ratziu, Vlad, Voets, David, Maes, Christophe, Kalra, Dipak, Thienpoint, Geert, Deckerck, Jens, Lea, Nathan, Singleton, Peter, Viele, Kert, Jacko, Peter, Berry, Scott, Parke, Tom, Aydin, Burç, Kubiak, Christine, Demotes, Jacques, Ueda, Keiko, Matei, Mihaela, Contrino, Sergio, Röhl, Claas, Cordero, Estefania, Greenhalgh, Fiona, Jarke, Hannes, Angelova, Juliana, Boudes, Mathieu, Dressler, Stephan, Strammiello, Valentina, Anstee, Quentin, Gutierrez-Ibarluzea, Iñaki, Otte, Maximilian, Heimbach, Natalie, Hofner, Benjamin, Burgwinkel, Cora, Kaestel, Hue, Hees, Katharina, Nguyen, Quynh, Prieto-Alhambra, Daniel, Tan, Eng Hooi (Cheryl), Raviglione, Mario, de Colombani, Pierpaolo, Villa, Simone, Maron, Eduard, Evans, Gareth, Savitz, Adam J., Van Dessel, Ann, Duca, Anna, Kaminski, Anne, Wouters, Bie, Porter, Brandon, Charron, Catherine, Spiertz, Cecile, Zizzamia, Christopher, Millar, Daniel, Hasselbaink, Danny, Orr, David, Kesters, Divya, Hubin, Ellen, Davies, Emma, Didden, Eva-Maria, Guz, Gabriela, Verstraete, Evelyn, Mao, Gary, Capuano, George, Martynowicz, Heddie, De Smedt, Heidi, Larsson, Ingela, Bruegelmans, Ines, Coste, Isabelle, Gonzalez Moreno, Jesus Maria, Niewczas, Julia, Xu, Jiajun, Rombouts, Karin, Woo, Katherine, Wuyts, Kathleen, Hersh, Kathryn, Oldenburg, Khrista, Zhang, Lingjiao, Schmidt, Mark, Szuch, Mark, Todorovic, Marija, Mangelaars, Maartje, Grewal, Melissa, Sandor, Molli, Di Prospero, Nick, Van Houten, Pamela, Minnick, Pansy, Bastos, Polyana, Patrizi, Robert, Morello, Salvatore, De Wilde, Severijn, Sun, Tao, Kline, Timothy, de Marez, Tine, Mielke, Tobias, Reijns, Tom, Popova, Vanina, Flossbach, Yanina, Tymofyeyev, Yevgen, De Groote, Zeger, Sverdlov, Alex, Bobirca, Alexandra, Krause, Annekatrin, Bobrica, Catalin, Heintz, Daniela, Magirr, Dominic, Glimm, Ekkehard, Baffert, Fabienne, Castiglione, Federica, Caruso, Franca, Patalano, Francesco, Bretz, Frank, Heimann, Guenter, Carbarns, Ian, Rodríguez, Ignacio, Ratescu, Ioana, Hampson, Lisa, Pedrosa, Marcos, Hark, Mareile, Mesenbrink, Peter, Penna, Sabina Hernandez, Bergues-Lang, Sarah, Baltes-Engler, Susanne, Arsiwala, Tasneem, Mondragon, Valeria Jordan, Guo, Hua, Da Costa, Jose Leite, Burman, Carl-Fredrik, Kirk, George, Aaes-Jørgensen, Anders, Dirach, Jorgen, Kjær, Mette Skalshøi, Martin, Alexandra, Hristov, Diyan, Rousseaux, Florent, Hittel, Norbert, Dornheim, Robert, Evans, Daniel, Sykes, Nick, Couvert, Camille, Leuven, Catherine, Notelet, Loïc, Gidh-Jain, Madhavi, Jouannin, Mathieu, Ammour, Nadir, Pierre, Suzanne, Haufe, Volker, Dong, Yingwen, Dubanchet, Catherine, de Préville, Nathalie, Baltauss, Tania, Jian, Zhu, Shnider, Sara, Bar-El, Tal, Bakker, Annette, Nievo, Marco, Iloeje, Uche, Conradie, Almari, Auffarrth, Ece, Lombard, Leandra, Benhayoun, Majda, Olugbosi, Morounfolu, Seidel, Stephanie S., Gumí, Berta, Guzmán, Claudia García, Molero, Eva, Pairó, Gisela, Machin, Núria, Cardelús, Raimon, Ramasastry, Saira, Pelzer, Saskia, Kremer, Andreas, Lindfors, Erno, Lynch, Chris, Spiertz, Cécile, Machín, Núria, and Pericàs, Juan M.

Published
2024
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27. One-year mental health outcomes in a cohort of COVID-19 survivors

Author

Vai, Benedetta, Bollettini, Irene, Melloni, Elisa Maria Teresa, Mazza, Elena Beatrice, Aggio, Veronica, Calesella, Federico, Paolini, Marco, Caselani, Elisa, Colombo, Federica, D’orsi, Greta, Di Pasquasio, Camilla, Fiore, Paola, Calvisi, Stefania, Canti, Valentina, Castellani, Jacopo, Cilla, Marta, Cinel, Elena, Damanti, Sarah, Ferrante, Marica, Martinenghi, Sabina, Santini, Chiara, Vitali, Giordano, Mazza, Mario Gennaro, Palladini, Mariagrazia, De Lorenzo, Rebecca, Bravi, Beatrice, Poletti, Sara, Furlan, Roberto, Ciceri, Fabio, Rovere-Querini, Patrizia, and Benedetti, Francesco

Published
2022
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28. Monocyte mitochondrial dysfunction, inflammaging, and inflammatory pyroptosis in major depression

Author

Simon, Maria S., Schiweck, Carmen, Arteaga-Henríquez, Gara, Poletti, Sara, Haarman, Bartholomeus C.M., Dik, Wim A., Schwarz, Markus, Vrieze, Elske, Mikova, Olya, Joergens, Silke, Musil, Richard, Claes, Stephan, Baune, Bernhard T., Leboyer, Marion, Benedetti, Francesco, Furlan, Roberto, Berghmans, Raf, de Wit, Harm, Wijkhuijs, Annemarie, Arolt, Volker, Müller, Norbert, and Drexhage, Hemmo A.

Published
2021
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36. Low-dose interleukin 2 antidepressant potentiation in unipolar and bipolar depression:Safety, efficacy, and immunological biomarkers

Author

Poletti, Sara, Zanardi, Raffaella, Mandelli, Alessandra, Aggio, Veronica, Finardi, Annamaria, Lorenzi, Cristina, Borsellino, Giovanna, Carminati, Matteo, Manfredi, Elena, Tomasi, Enrico, Spadini, Sara, Colombo, Cristina, Drexhage, Hemmo A., Furlan, Roberto, Benedetti, Francesco, Poletti, Sara, Zanardi, Raffaella, Mandelli, Alessandra, Aggio, Veronica, Finardi, Annamaria, Lorenzi, Cristina, Borsellino, Giovanna, Carminati, Matteo, Manfredi, Elena, Tomasi, Enrico, Spadini, Sara, Colombo, Cristina, Drexhage, Hemmo A., Furlan, Roberto, and Benedetti, Francesco

Abstract

Immune-inflammatory mechanisms are promising targets for antidepressant pharmacology. Immune cell abnormalities have been reported in mood disorders showing a partial T cell defect. Following this line of reasoning we defined an antidepressant potentiation treatment with add-on low-dose interleukin 2 (IL-2). IL-2 is a T-cell growth factor which has proven anti-inflammatory efficacy in autoimmune conditions, increasing thymic production of naïve CD4 + T cells, and possibly correcting the partial T cell defect observed in mood disorders. We performed a single-center, randomised, double-blind, placebo-controlled phase II trial evaluating the safety, clinical efficacy and biological responses of low-dose IL-2 in depressed patients with major depressive (MDD) or bipolar disorder (BD). 36 consecutively recruited inpatients at the Mood Disorder Unit were randomised in a 2:1 ratio to receive either aldesleukin (12 MDD and 12 BD) or placebo (6 MDD and 6 BD). Active treatment significantly potentiated antidepressant response to ongoing SSRI/SNRI treatment in both diagnostic groups, and expanded the population of T regulatory, T helper 2, and percentage of Naive CD4+/CD8 + immune cells. Changes in cell frequences were rapidly induced in the first five days of treatment, and predicted the later improvement of depression severity. No serious adverse effect was observed. This is the first randomised control trial (RCT) evidence supporting the hypothesis that treatment to strengthen the T cell system could be a successful way to correct the immuno-inflammatory abnormalities associated with mood disorders, and potentiate antidepressant response.

Published
2024

39. Mapping Cortical and Subcortical Asymmetry in Obsessive-Compulsive Disorder: Findings From the ENIGMA Consortium

Author

Kong, Xiang-Zhen, Boedhoe, Premika S.W., Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H., Anticevic, Alan, Arnold, Paul D., Assogna, Francesca, Baker, Justin T., Banaj, Nerisa, Bargalló, Nuria, Batistuzzo, Marcelo C., Benedetti, Francesco, Beucke, Jan C., Bollettini, Irene, Bose, Anushree, Brandeis, Daniel, Brem, Silvia, Brennan, Brian P., Buitelaar, Jan, Busatto, Geraldo F., Calvo, Anna, Calvo, Rosa, Cheng, Yuqi, Cho, Kang Ik K., Ciullo, Valentina, Dallaspezia, Sara, Denys, Damiaan, de Vries, Froukje E., de Wit, Stella J., Dickie, Erin, Drechsler, Renate, Ely, Benjamin A., Esteves, Madalena, Falini, Andrea, Fang, Yu, Feusner, Jamie, Figee, Martijn, Fitzgerald, Kate D., Fontaine, Martine, Fouche, Jean-Paul, Fridgeirsson, Egill A., Gruner, Patricia, Gürsel, Deniz A., Hall, Geoff, Hamatani, Sayo, Hanna, Gregory L., Hansen, Bjarne, Hauser, Tobias U., Hirano, Yoshiyuki, Hoexter, Marcelo Q., Hu, Hao, Huyser, Chaim, Ikari, Keisuke, Jahanshad, Neda, James, Anthony, Jaspers-Fayer, Fern, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Kuno, Masaru, Kvale, Gerd, Kwon, Jun Soo, Lazaro, Luisa, Liu, Yanni, Lochner, Christine, Magalhães, Ricardo, Marques, Paulo, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Masuda, Yasutaka, Mataix-Cols, David, Matsumoto, Koji, McCracken, James T., Menchón, José M., Miguel, Euripedes C., Minuzzi, Luciano, Moreira, Pedro S., Morer, Astrid, Morgado, Pedro, Nakagawa, Akiko, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C., Narumoto, Jin, Nishida, Seiji, Nurmi, Erika L., O'Neill, Joseph, Pariente, Jose C., Perriello, Chris, Piacentini, John, Piras, Fabrizio, Piras, Federica, Pittenger, Christopher, Poletti, Sara, Reddy, Y.C. Janardhan, Reess, Tim, Rus-Oswald, Oana Georgiana, Sakai, Yuki, Sato, Joao R., Schmaal, Lianne, Shimizu, Eiji, Simpson, H. Blair, Soreni, Noam, Soriano-Mas, Carles, Sousa, Nuno, Spalletta, Gianfranco, Stern, Emily R., Stevens, Michael C., Stewart, S. Evelyn, Szeszko, Philip R., Takahashi, Jumpei, Tang, Jinsong, Thorsen, Anders Lillevik, Tolin, David F., Tsuchiyagaito, Aki, van Rooij, Daan, van Wingen, Guido A., van der Werf, Ysbrand D., Veltman, Dick J., Vecchio, Daniela, Venkatasubramanian, Ganesan, Walitza, Susanne, Wang, Zhen, Watanabe, Anri, Xu, Jian, Xu, Xiufeng, Yamada, Kei, Yoshida, Tokiko, Yun, Je-Yeon, Zarei, Mojtaba, Zhao, Qing, Zhou, Cong, Thompson, Paul M., Stein, Dan J., van den Heuvel, Odile A., Francks, Clyde, Glahn, David C., and Medland, Sarah E.

Published
2020
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42. Current state-of-the-art and gaps in platform trials: 10 things you should know, insights from EU-PEARL

Author

Koenig, Franz, primary, Spiertz, Cécile, additional, Millar, Daniel, additional, Rodríguez-Navarro, Sarai, additional, Machín, Núria, additional, Van Dessel, Ann, additional, Genescà, Joan, additional, Pericàs, Juan M., additional, Posch, Martin, additional, Sánchez-Montalva, Adrian, additional, Estevez, Ana Belén, additional, Sánchez, Àlex, additional, Sanjuan, Anna, additional, Sena, Elena, additional, Granados, Emma, additional, Arévalo de Andrés, Esther, additional, Nuñez, Fátima, additional, Arteaga, Gara, additional, Fuentes Ruiz, Gabriela Perez, additional, Fernández, Guillermo, additional, Rivera-Esteban, Jesus, additional, Comella, Joan, additional, Ramos-Quiroga, Josep Antoni, additional, Espinosa, Juan, additional, Pericàs, Juan Manuel, additional, Murcia, Lada, additional, Cash-Gibson, Lucinda, additional, de Valles Silvosa, Maria, additional, Barroso de Sousa, María Fernanda, additional, Sánchez-Maroto Carrizo, Olga, additional, Ibañez-Jiménez, Pol, additional, Augustin, Salvador, additional, Perez-Hoyos, Santiago, additional, Muñoz-Martínez, Sergio, additional, Serres, Silvia, additional, Kalko, Susana, additional, Michon, Amelie, additional, Ussi, Anton, additional, Lydall, Ben, additional, van de Ketterij, Edwin, additional, Quiles, Ignacio, additional, Carapina, Tamara, additional, Kumaus, Constantin, additional, Ramazanova, Dariga, additional, Meyer, Elias Laurin, additional, Koenig, Franz, additional, Roig, Marta Bofill, additional, Brunner, Martin, additional, Krotka, Pavla, additional, Zehetmayer, Sonja, additional, Carton, Charlotte, additional, Legius, Eric, additional, Begum, Amina, additional, Pariante, Carmine, additional, Worrell, Courtney, additional, Lombardo, Giulia, additional, Sforzini, Luca, additional, Brown, Mollie, additional, Gullet, Nancy, additional, Amasi-Hartoonian, Nare, additional, Ferner, Rosalie, additional, Kose, Melisa, additional, Spitaleri, Andrea, additional, Ghodousi, Arash, additional, Di Serio, Clelia, additional, Cirillo, Daniela, additional, Cugnata, Federica, additional, Saluzzo, Francesca, additional, Benedetti, Francesco, additional, Scarale, Maria Giovanna, additional, Zini, Michela, additional, Rancoita, Paola Maria, additional, Alagna, Riccardo, additional, Poletti, Sara, additional, Dhaenens, Britt, additional, Van Der Lei, Johan, additional, de Steenwinkel, Jurriaan, additional, Moinat, Maxim, additional, Oostenbrink, Rianne, additional, Hoogendijk, Witte, additional, Hölscher, Michael, additional, Heinrich, Norbert, additional, Otte, Christian, additional, Potratz, Cornelia, additional, Zocholl, Dario, additional, Kulakova, Eugenia, additional, Tacke, Frank, additional, Brasanac, Jelena, additional, Leubner, Jonas, additional, Krajewska, Maja, additional, Freitag, Michaela Maria, additional, Gold, Stefan, additional, Zoller, Thomas, additional, Chae, Woo Ri, additional, Daniel, Christel, additional, Kara, Leila, additional, Vaterkowski, Morgan, additional, Griffon, Nicolas, additional, Wolkenstein, Pierre, additional, Pais, Raluca, additional, Ratziu, Vlad, additional, Voets, David, additional, Maes, Christophe, additional, Kalra, Dipak, additional, Thienpoint, Geert, additional, Deckerck, Jens, additional, Lea, Nathan, additional, Singleton, Peter, additional, Viele, Kert, additional, Jacko, Peter, additional, Berry, Scott, additional, Parke, Tom, additional, Aydin, Burç, additional, Kubiak, Christine, additional, Demotes, Jacques, additional, Ueda, Keiko, additional, Matei, Mihaela, additional, Contrino, Sergio, additional, Röhl, Claas, additional, Cordero, Estefania, additional, Greenhalgh, Fiona, additional, Jarke, Hannes, additional, Angelova, Juliana, additional, Boudes, Mathieu, additional, Dressler, Stephan, additional, Strammiello, Valentina, additional, Anstee, Quentin, additional, Gutierrez-Ibarluzea, Iñaki, additional, Otte, Maximilian, additional, Heimbach, Natalie, additional, Hofner, Benjamin, additional, Burgwinkel, Cora, additional, Kaestel, Hue, additional, Hees, Katharina, additional, Nguyen, Quynh, additional, Prieto-Alhambra, Daniel, additional, Tan, Eng Hooi (Cheryl), additional, Raviglione, Mario, additional, de Colombani, Pierpaolo, additional, Villa, Simone, additional, Maron, Eduard, additional, Evans, Gareth, additional, Savitz, Adam J., additional, Duca, Anna, additional, Kaminski, Anne, additional, Wouters, Bie, additional, Porter, Brandon, additional, Charron, Catherine, additional, Spiertz, Cecile, additional, Zizzamia, Christopher, additional, Hasselbaink, Danny, additional, Orr, David, additional, Kesters, Divya, additional, Hubin, Ellen, additional, Davies, Emma, additional, Didden, Eva-Maria, additional, Guz, Gabriela, additional, Verstraete, Evelyn, additional, Mao, Gary, additional, Capuano, George, additional, Martynowicz, Heddie, additional, De Smedt, Heidi, additional, Larsson, Ingela, additional, Bruegelmans, Ines, additional, Coste, Isabelle, additional, Gonzalez Moreno, Jesus Maria, additional, Niewczas, Julia, additional, Xu, Jiajun, additional, Rombouts, Karin, additional, Woo, Katherine, additional, Wuyts, Kathleen, additional, Hersh, Kathryn, additional, Oldenburg, Khrista, additional, Zhang, Lingjiao, additional, Schmidt, Mark, additional, Szuch, Mark, additional, Todorovic, Marija, additional, Mangelaars, Maartje, additional, Grewal, Melissa, additional, Sandor, Molli, additional, Di Prospero, Nick, additional, Van Houten, Pamela, additional, Minnick, Pansy, additional, Bastos, Polyana, additional, Patrizi, Robert, additional, Morello, Salvatore, additional, De Wilde, Severijn, additional, Sun, Tao, additional, Kline, Timothy, additional, de Marez, Tine, additional, Mielke, Tobias, additional, Reijns, Tom, additional, Popova, Vanina, additional, Flossbach, Yanina, additional, Tymofyeyev, Yevgen, additional, De Groote, Zeger, additional, Sverdlov, Alex, additional, Bobirca, Alexandra, additional, Krause, Annekatrin, additional, Bobrica, Catalin, additional, Heintz, Daniela, additional, Magirr, Dominic, additional, Glimm, Ekkehard, additional, Baffert, Fabienne, additional, Castiglione, Federica, additional, Caruso, Franca, additional, Patalano, Francesco, additional, Bretz, Frank, additional, Heimann, Guenter, additional, Carbarns, Ian, additional, Rodríguez, Ignacio, additional, Ratescu, Ioana, additional, Hampson, Lisa, additional, Pedrosa, Marcos, additional, Hark, Mareile, additional, Mesenbrink, Peter, additional, Penna, Sabina Hernandez, additional, Bergues-Lang, Sarah, additional, Baltes-Engler, Susanne, additional, Arsiwala, Tasneem, additional, Mondragon, Valeria Jordan, additional, Guo, Hua, additional, Da Costa, Jose Leite, additional, Burman, Carl-Fredrik, additional, Kirk, George, additional, Aaes-Jørgensen, Anders, additional, Dirach, Jorgen, additional, Kjær, Mette Skalshøi, additional, Martin, Alexandra, additional, Hristov, Diyan, additional, Rousseaux, Florent, additional, Hittel, Norbert, additional, Dornheim, Robert, additional, Evans, Daniel, additional, Sykes, Nick, additional, Couvert, Camille, additional, Leuven, Catherine, additional, Notelet, Loïc, additional, Gidh-Jain, Madhavi, additional, Jouannin, Mathieu, additional, Ammour, Nadir, additional, Pierre, Suzanne, additional, Haufe, Volker, additional, Dong, Yingwen, additional, Dubanchet, Catherine, additional, de Préville, Nathalie, additional, Baltauss, Tania, additional, Jian, Zhu, additional, Shnider, Sara, additional, Bar-El, Tal, additional, Bakker, Annette, additional, Nievo, Marco, additional, Iloeje, Uche, additional, Conradie, Almari, additional, Auffarrth, Ece, additional, Lombard, Leandra, additional, Benhayoun, Majda, additional, Olugbosi, Morounfolu, additional, Seidel, Stephanie S., additional, Gumí, Berta, additional, Guzmán, Claudia García, additional, Molero, Eva, additional, Pairó, Gisela, additional, Machin, Núria, additional, Cardelús, Raimon, additional, Ramasastry, Saira, additional, Pelzer, Saskia, additional, Kremer, Andreas, additional, Lindfors, Erno, additional, and Lynch, Chris, additional

Published
2024
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43. A machine learning pipeline for efficient differentiation between bipolar and major depressive disorder based on multimodal structural neuroimaging

Author

Calesella, Federico, primary, Colombo, Federica, additional, Bravi, Beatrice, additional, Fortaner-Uyà, Lidia, additional, Monopoli, Camilla, additional, Poletti, Sara, additional, Tassi, Emma, additional, Maggioni, Eleonora, additional, Brambilla, Paolo, additional, Colombo, Cristina, additional, Bollettini, Irene, additional, Benedetti, Francesco, additional, and Vai, Benedetta, additional

Published
2023
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