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Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies—PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice

2019; Oxford University Press; Volume: 46; Issue: 2 Linguagem: Inglês

10.1093/schbul/sbz067

1745-1701

Stefania Tognin, Hendrika H. van Hell, Kate Merritt, Inge Winter-van Rossum, Matthijs G. Bossong, Matthew J. Kempton, Gemma Modinos, Paolo Fusar‐Poli, Andrea Mechelli, Paola Dazzan, A. Ter Maat, Lieuwe de Haan, Benedicto Crespo‐Facorro, Birte Glenthøj, Stephen M. Lawrie, Colm McDonald, Oliver Gruber, Thérèse van Amelsvoort, Celso Arango, Tilo Kircher, Barnaby Nelson, Silvana Galderisi, Rodrigo A. Bressan, Jun Soo Kwon, Mark Weiser, Romina Mizrahi, Gabriele Sachs, Anke Maatz, René S. Kahn, Philip McGuire, Philip McGuire, Stefania Tognin, Paolo Fusar‐Poli, Matthew J. Kempton, Gemma Modinos, Kate Merritt, Andrea Mechelli, Paola Dazzan, George Gifford, Natalia Petros, Mathilde Antoniades, Andrea De Micheli, Sandra Vieira, Thomas Spencer, Cristina Scarpazza, Emily Hird, René S. Kahn, A. Ter Maat, Erika van Hell, Inge Winter, Wiepke Cahn, Hugo G. Schnack, Lieuwe de Haan, Dieuwke Siegmann, Jana Barkhof, Lotte Hendriks, Iris de Wit, Benedicto Crespo‐Facorro, Diana Tordesillas‐Gutiérrez, Esther Setién‐Suero, Rosa Ayesa‐Arriola, Paula Suárez‐Pinilla, MariaLuz Ramirez-Bonilla, Víctor Ortiz‐García de la Foz, Birte Glenthøj, Mikkel Sørensen, Karen Tangmose, Helle Schæbel, Brian V. Broberg, Egill Rostrup, Stephen M. Lawrie, Colm McDonald, Brian Hallahan, Dara M. Cannon, James McLoughlin, Martha Finnegan, Oliver Gruber, Thérèse van Amelsvoort, Danny Deckers, Machteld Marcelis, Claudia Vingerhoets, Celso Arango, Covadonga M. Díaz‐Caneja, Miriam Ayora, Joost Janssen, Roberto Rodríguez‐Jiménez, Marina Dı́az-Marsá, Tilo Kircher, Irina Falkenberg, Florian Bitsch, Philipp Berger, Jens Sommer, Kyeon Raab, Babette Jakobi, Barnaby Nelson, Patrick D. McGorry, G. Paul Amminger, Meredith McHugh, Silvana Galderisi, Armida Mucci, Paola Bucci, Giuseppe Piegari, Daria Pietrafesa, Alessia Nicita, Sara Patriarca, Rodrigo A. Bressan, André Zugman, Ary Gadelha, Graccielle R. Cunha, Jun Soo Kwon, Kang Ik K. Cho, Tae Young Lee, Minah Kim, Yoo Bin Kwak, Wu Jeong Hwang, Mark Weiser, Romina Mizrahi, Michael Kiang, Cory Gerritsen, Margaret Maheandiran, Sarah Ahmed, Ivana Prce, Jenny Lepock, Gabriele Sachs, Matthäus Willeit, Marzena Lenczowski, U Sauerzopf, Ana Weidenauer, Julia Furtner-Srajer, Matthias Kirschner, Anke Maatz, Achim Burrer, Philipp Stämpfli, Naemi Huber, Stefan Kaiser, Wolfram Kawohl, Michael J. Brammer, Jonathan Young, Edward T. Bullmore, Sarah E. Morgan,

Advanced Neuroimaging Techniques and Applications

In the last 2 decades, several neuroimaging studies investigated brain abnormalities associated with the early stages of psychosis in the hope that these could aid the prediction of onset and clinical outcome. Despite advancements in the field, neuroimaging has yet to deliver. This is in part explained by the use of univariate analytical techniques, small samples and lack of statistical power, lack of external validation of potential biomarkers, and lack of integration of nonimaging measures (eg, genetic, clinical, cognitive data). PSYSCAN is an international, longitudinal, multicenter study on the early stages of psychosis which uses machine learning techniques to analyze imaging, clinical, cognitive, and biological data with the aim of facilitating the prediction of psychosis onset and outcome. In this article, we provide an overview of the PSYSCAN protocol and we discuss benefits and methodological challenges of large multicenter studies that employ neuroimaging measures.