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1. Transdiagnostic subgroups of cognitive impairment in early affective and psychotic illness

Author

Wenzel, Julian, Badde, Luzie, Haas, Shalaila S., Bonivento, Carolina, Van Rheenen, Tamsyn E., Antonucci, Linda A., Ruef, Anne, Penzel, Nora, Rosen, Marlene, Lichtenstein, Theresa, Lalousis, Paris Alexandros, Paolini, Marco, Stainton, Alexandra, Dannlowski, Udo, Romer, Georg, Brambilla, Paolo, Wood, Stephen J., Upthegrove, Rachel, Borgwardt, Stefan, Meisenzahl, Eva, Salokangas, Raimo K. R., Pantelis, Christos, Lencer, Rebekka, Bertolino, Alessandro, Kambeitz, Joseph, Koutsouleris, Nikolaos, Dwyer, Dominic B., and Kambeitz-Ilankovic, Lana

Published
2024
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2. Brain texture as a marker of transdiagnostic clinical profiles in patients with recent-onset psychosis and depression

Author

Korda, Alexandra I., Andreou, Christina, Ruef, Anne, Hahn, Lisa, Schmidt, André, Dannlowski, Udo, Kambeitz-Ilankovic, Lana, Dwyer, Dominic B., Kambeitz, Joseph, Wenzel, Julian, Ruhrmann, Stephan, Wood, Stephen J., Salokangas, Raimo K. R., Pantelis, Christos, Schultze-Lutter, Frauke, Meisenzahl, Eva, Brambilla, Paolo, Selvaggi, Pierluigi, Bertolino, Alessandro, Hietala, Jarmo, Upthegrove, Rachel, Lalousis, Paris Alexandros, Riecher-Rössler, Anita, Davatzikos, Christos, Lencer, Rebekka, Koutsouleris, Nikolaos, and Borgwardt, Stefan

Published
2024
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3. Alterations of Functional Connectivity Dynamics in Affective and Psychotic Disorders

Author

Betz, Linda, Erkens, Anne, Gussmann, Eva, Haas, Shalaila, Hasan, Alkomiet, Hoff, Claudius, Khanyaree, Ifrah, Melo, Aylin, Muckenhuber-Sternbauer, Susanna, Köhler, Janis, Öztürk, Ömer, Penzel, Nora, Popovic, David, Rangnick, Adrian, von Saldern, Sebastian, Sanfelici, Rachele, Spangemacher, Moritz, Tupac, Ana, Urquijo, Maria Fernanda, Weiske, Johanna, Wosgien, Antonia, Blume, Karsten, Gebhardt, Dominika, Kaiser, Nathalie, Milz, Ruth, Nikolaides, Alexandra, Seves, Mauro, Vent, Silke, Wassen, Martina, Andreou, Christina, Egloff, Laura, Harrisberger, Fabienne, Lenz, Claudia, Leanza, Letizia, Mackintosh, Amatya, Smieskova, Renata, Studerus, Erich, Walter, Anna, Widmayer, Sonja, Day, Chris, Iqbal, Mariam, Pelton, Mirabel, Mallikarjun, Pavan, Stainton, Alexandra, Lin, Ashleigh, Denissoff, Alexander, Ellilä, Anu, From, Tiina, Heinimaa, Markus, Ilonen, Tuula, Jalo, Päivi, Laurikainen, Heikki, Luutonen, Antti, Mäkela, Akseli, Paju, Janina, Pesonen, Henri, Säilä, Reetta-Liina, Toivonen, Anna, Turtonen, Otto, Solana, Ana Beatriz, Abraham, Manuela, Hehn, Nicolas, Schirmer, Timo, Altamura, Carlo, Belleri, Marika, Bottinelli, Francesca, Ferro, Adele, Re, Marta, Monzani, Emiliano, Sberna, Maurizio, D’Agostino, Armando, Del Fabro, Lorenzo, Perna, Giampaolo, Nobile, Maria, Alciati, Alessandra, Balestrieri, Matteo, Bonivento, Carolina, Cabras, Giuseppe, Fabbro, Franco, Garzitto, Marco, Piccin, Sara, Hoheisel, Linnea, Kambeitz-Ilankovic, Lana, Wenzel, Julian, Haas, Shalaila S., Antonucci, Linda A., Ruef, Anne, Schultze-Lutter, Frauke, Lichtenstein, Theresa, Rosen, Marlene, Dwyer, Dominic B., Salokangas, Raimo K.R., Lencer, Rebekka, Brambilla, Paolo, Borgwardt, Stephan, Wood, Stephen J., Upthegrove, Rachel, Bertolino, Alessandro, Ruhrmann, Stephan, Meisenzahl, Eva, Koutsouleris, Nikolaos, Fink, Gereon R., Daun, Silvia, and Kambeitz, Joseph

Published
2024
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4. Toward Generalizable and Transdiagnostic Tools for Psychosis Prediction: An Independent Validation and Improvement of the NAPLS-2 Risk Calculator in the Multisite PRONIA Cohort.

Author

Koutsouleris, Nikolaos, Worthington, Michelle, Dwyer, Dominic B, Kambeitz-Ilankovic, Lana, Sanfelici, Rachele, Fusar-Poli, Paolo, Rosen, Marlene, Ruhrmann, Stephan, Anticevic, Alan, Addington, Jean, Perkins, Diana O, Bearden, Carrie E, Cornblatt, Barbara A, Cadenhead, Kristin S, Mathalon, Daniel H, McGlashan, Thomas, Seidman, Larry, Tsuang, Ming, Walker, Elaine F, Woods, Scott W, Falkai, Peter, Lencer, Rebekka, Bertolino, Alessandro, Kambeitz, Joseph, Schultze-Lutter, Frauke, Meisenzahl, Eva, Salokangas, Raimo KR, Hietala, Jarmo, Brambilla, Paolo, Upthegrove, Rachel, Borgwardt, Stefan, Wood, Stephen, Gur, Raquel E, McGuire, Philip, and Cannon, Tyrone D

Subjects
Humans, Prognosis, Risk Factors, Longitudinal Studies, Psychotic Disorders, Prodromal Symptoms, Clinical high-risk states, First-episode depression, Machine learning, Psychosis prediction, Reciprocal external validation, Risk calculators, Prevention, Mental Health, Brain Disorders, Patient Safety, Mental health, Good Health and Well Being, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

BackgroundTransition to psychosis is among the most adverse outcomes of clinical high-risk (CHR) syndromes encompassing ultra-high risk (UHR) and basic symptom states. Clinical risk calculators may facilitate an early and individualized interception of psychosis, but their real-world implementation requires thorough validation across diverse risk populations, including young patients with depressive syndromes.MethodsWe validated the previously described NAPLS-2 (North American Prodrome Longitudinal Study 2) calculator in 334 patients (26 with transition to psychosis) with CHR or recent-onset depression (ROD) drawn from the multisite European PRONIA (Personalised Prognostic Tools for Early Psychosis Management) study. Patients were categorized into three risk enrichment levels, ranging from UHR, over CHR, to a broad-risk population comprising patients with CHR or ROD (CHR|ROD). We assessed how risk enrichment and different predictive algorithms influenced prognostic performance using reciprocal external validation.ResultsAfter calibration, the NAPLS-2 model predicted psychosis with a balanced accuracy (BAC) (sensitivity, specificity) of 68% (73%, 63%) in the PRONIA-UHR cohort, 67% (74%, 60%) in the CHR cohort, and 70% (73%, 66%) in patients with CHR|ROD. Multiple model derivation in PRONIA-CHR|ROD and validation in NAPLS-2-UHR patients confirmed that broader risk definitions produced more accurate risk calculators (CHR|ROD-based vs. UHR-based performance: 67% [68%, 66%] vs. 58% [61%, 56%]). Support vector machines were superior in CHR|ROD (BAC = 71%), while ridge logistic regression and support vector machines performed similarly in CHR (BAC = 67%) and UHR cohorts (BAC = 65%). Attenuated psychotic symptoms predicted psychosis across risk levels, while younger age and reduced processing speed became increasingly relevant for broader risk cohorts.ConclusionsClinical-neurocognitive machine learning models operating in young patients with affective and CHR syndromes facilitate a more precise and generalizable prediction of psychosis. Future studies should investigate their therapeutic utility in large-scale clinical trials.

Published
2021

5. Psychosis brain subtypes validated in first-episode cohorts and related to illness remission: results from the PHENOM consortium

Author

Dwyer, Dominic B., Chand, Ganesh B., Pigoni, Alessandro, Khuntia, Adyasha, Wen, Junhao, Antoniades, Mathilde, Hwang, Gyujoon, Erus, Guray, Doshi, Jimit, Srinivasan, Dhivya, Varol, Erdem, Kahn, Rene S., Schnack, Hugo G., Meisenzahl, Eva, Wood, Stephen J., Zhuo, Chuanjun, Sotiras, Aristeidis, Shinohara, Russell T., Shou, Haochang, Fan, Yong, Schaulfelberger, Maristela, Rosa, Pedro, Lalousis, Paris A., Upthegrove, Rachel, Kaczkurkin, Antonia N., Moore, Tyler M., Nelson, Barnaby, Gur, Raquel E., Gur, Ruben C., Ritchie, Marylyn D., Satterthwaite, Theodore D., Murray, Robin M., Di Forti, Marta, Ciufolini, Simone, Zanetti, Marcus V., Wolf, Daniel H., Pantelis, Christos, Crespo-Facorro, Benedicto, Busatto, Geraldo F., Davatzikos, Christos, Koutsouleris, Nikolaos, and Dazzan, Paola

Published
2023
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6. Structural and Functional Brain Patterns Predict Formal Thought Disorder’s Severity and Its Persistence in Recent-Onset Psychosis: Results From the PRONIA Study

Author

Buciuman, Madalina-Octavia, Oeztuerk, Oemer Faruk, Popovic, David, Enrico, Paolo, Ruef, Anne, Bieler, Nadia, Sarisik, Elif, Weiske, Johanna, Dong, Mark Sen, Dwyer, Dominic B., Kambeitz-Ilankovic, Lana, Haas, Shalaila S., Stainton, Alexandra, Ruhrmann, Stephan, Chisholm, Katharine, Kambeitz, Joseph, Riecher-Rössler, Anita, Upthegrove, Rachel, Schultze-Lutter, Frauke, Salokangas, Raimo K.R., Hietala, Jarmo, Pantelis, Christos, Lencer, Rebekka, Meisenzahl, Eva, Wood, Stephen J., Brambilla, Paolo, Borgwardt, Stefan, Falkai, Peter, Antonucci, Linda A., Bertolino, Alessandro, Liddle, Peter, and Koutsouleris, Nikolaos

Published
2023
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8. The impact of visual dysfunctions in recent-onset psychosis and clinical high-risk state for psychosis

Author

Schwarzer, Johanna M., Meyhoefer, Inga, Antonucci, Linda A., Kambeitz-Ilankovic, Lana, Surmann, Marian, Bienek, Olga, Romer, Georg, Dannlowski, Udo, Hahn, Tim, Korda, Alexandra, Dwyer, Dominic B., Ruef, Anne, Haas, Shalaila S., Rosen, Marlene, Lichtenstein, Theresa, Ruhrmann, Stephan, Kambeitz, Joseph, Salokangas, Raimo K. R., Pantelis, Christos, Schultze-Lutter, Frauke, Meisenzahl, Eva, Brambilla, Paolo, Bertolino, Alessandro, Borgwardt, Stefan, Upthegrove, Rachel, Koutsouleris, Nikolaos, and Lencer, Rebekka

Published
2022
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9. The clinical relevance of formal thought disorder in the early stages of psychosis: results from the PRONIA study

Author

Oeztuerk, Oemer Faruk, Pigoni, Alessandro, Wenzel, Julian, Haas, Shalaila S., Popovic, David, Ruef, Anne, Dwyer, Dominic B., Kambeitz-Ilankovic, Lana, Ruhrmann, Stephan, Chisholm, Katharine, Lalousis, Paris, Griffiths, Sian Lowri, Lichtenstein, Theresa, Rosen, Marlene, Kambeitz, Joseph, Schultze-Lutter, Frauke, Liddle, Peter, Upthegrove, Rachel, Salokangas, Raimo K. R., Pantelis, Christos, Meisenzahl, Eva, Wood, Stephen J., Brambilla, Paolo, Borgwardt, Stefan, Falkai, Peter, Antonucci, Linda A., and Koutsouleris, Nikolaos

Published
2022
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10. Cognitive subtypes in recent onset psychosis: distinct neurobiological fingerprints?

Author

Wenzel, Julian, Haas, Shalaila S., Dwyer, Dominic B., Ruef, Anne, Oeztuerk, Oemer Faruk, Antonucci, Linda A., von Saldern, Sebastian, Bonivento, Carolina, Garzitto, Marco, Ferro, Adele, Paolini, Marco, Blautzik, Janusch, Borgwardt, Stefan, Brambilla, Paolo, Meisenzahl, Eva, Salokangas, Raimo K. R., Upthegrove, Rachel, Wood, Stephen J., Kambeitz, Joseph, Koutsouleris, Nikolaos, and Kambeitz-Ilankovic, Lana

Published
2021
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14. Alterations of Functional Connectivity Dynamics in Affective and Psychotic Disorders

Author

Hoheisel, Linnea, Kambeitz-Ilankovic, Lana, Wenzel, Julian, Haas, Shalaila S., Antonucci, Linda A., Ruef, Anne, Penzel, Nora, Schultze-Lutter, Frauke, Lichtenstein, Theresa, Rosen, Marlene, Dwyer, Dominic B., Salokangas, Raimo K.R., Lencer, Rebekka, Brambilla, Paolo, Borgwardt, Stephan, Wood, Stephen J., Upthegrove, Rachel, Bertolino, Alessandro, Ruhrmann, Stephan, Meisenzahl, Eva, Koutsouleris, Nikolaos, Fink, Gereon R., Daun, Silvia, Kambeitz, Joseph, Betz, Linda, Erkens, Anne, Gussmann, Eva, Haas, Shalaila, Hasan, Alkomiet, Hoff, Claudius, Khanyaree, Ifrah, Melo, Aylin, Muckenhuber-Sternbauer, Susanna, Köhler, Janis, Öztürk, Ömer, Penzel, Nora, Popovic, David, Rangnick, Adrian, von Saldern, Sebastian, Sanfelici, Rachele, Spangemacher, Moritz, Tupac, Ana, Urquijo, Maria Fernanda, Weiske, Johanna, Wosgien, Antonia, Blume, Karsten, Gebhardt, Dominika, Kaiser, Nathalie, Milz, Ruth, Nikolaides, Alexandra, Seves, Mauro, Vent, Silke, Wassen, Martina, Andreou, Christina, Egloff, Laura, Harrisberger, Fabienne, Lenz, Claudia, Leanza, Letizia, Mackintosh, Amatya, Smieskova, Renata, Studerus, Erich, Walter, Anna, Widmayer, Sonja, Day, Chris, Iqbal, Mariam, Pelton, Mirabel, Mallikarjun, Pavan, Stainton, Alexandra, Lin, Ashleigh, Denissoff, Alexander, Ellilä, Anu, From, Tiina, Heinimaa, Markus, Ilonen, Tuula, Jalo, Päivi, Laurikainen, Heikki, Luutonen, Antti, Mäkela, Akseli, Paju, Janina, Pesonen, Henri, Säilä, Reetta-Liina, Toivonen, Anna, Turtonen, Otto, Solana, Ana Beatriz, Abraham, Manuela, Hehn, Nicolas, Schirmer, Timo, Altamura, Carlo, Belleri, Marika, Bottinelli, Francesca, Ferro, Adele, Re, Marta, Monzani, Emiliano, Sberna, Maurizio, D’Agostino, Armando, Del Fabro, Lorenzo, Perna, Giampaolo, Nobile, Maria, Alciati, Alessandra, Balestrieri, Matteo, Bonivento, Carolina, Cabras, Giuseppe, Fabbro, Franco, Garzitto, Marco, and Piccin, Sara

Abstract

Patients with psychosis and patients with depression exhibit widespread neurobiological abnormalities. The analysis of dynamic functional connectivity (dFC) allows for the detection of changes in complex brain activity patterns, providing insights into common and unique processes underlying these disorders.

Published
2024
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15. Assessment of Neuroanatomical Endophenotypes of Autism Spectrum Disorder and Association With Characteristics of Individuals With Schizophrenia and the General Population

Author

Hwang, Gyujoon, primary, Wen, Junhao, additional, Sotardi, Susan, additional, Brodkin, Edward S., additional, Chand, Ganesh B., additional, Dwyer, Dominic B., additional, Erus, Guray, additional, Doshi, Jimit, additional, Singhal, Pankhuri, additional, Srinivasan, Dhivya, additional, Varol, Erdem, additional, Sotiras, Aristeidis, additional, Dazzan, Paola, additional, Kahn, Rene S., additional, Schnack, Hugo G., additional, Zanetti, Marcus V., additional, Meisenzahl, Eva, additional, Busatto, Geraldo F., additional, Crespo-Facorro, Benedicto, additional, Pantelis, Christos, additional, Wood, Stephen J., additional, Zhuo, Chuanjun, additional, Shinohara, Russell T., additional, Shou, Haochang, additional, Fan, Yong, additional, Di Martino, Adriana, additional, Koutsouleris, Nikolaos, additional, Gur, Raquel E., additional, Gur, Ruben C., additional, Satterthwaite, Theodore D., additional, Wolf, Daniel H., additional, and Davatzikos, Christos, additional

Published
2023
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16. Structural and functional brain patterns predict formal thought disorder’s severity and its persistence in recent-onset psychosis:Results from the PRONIA Study

Author

Buciuman, Madalina-Octavia, Oeztuerk, Oemer Faruk, Popovic, David, Enrico, Paolo, Ruef, Anne, Bieler, Nadia, Sarisik, Elif, Weiske, Johanna, Dong, Mark Sen, Dwyer, Dominic B., Kambeitz-Ilankovic, Lana, Haas, Shalaila S., Stainton, Alexandra, Ruhrmann, Stephan, Chisholm, Katharine, Kambeitz, Joseph, Riecher-Rössler, Anita, Upthegrove, Rachel, Schultze-Lutter, Frauke, Salokangas, Raimo K.R., Hietala, Jarmo, Pantelis, Christos, Lencer, Rebekka, Meisenzahl, Eva, Wood, Stephen J., Brambilla, Paolo, Borgwardt, Stefan, Falkai, Peter, Antonucci, Linda A., Bertolino, Alessandro, Liddle, Peter, Koutsouleris, Nikolaos, Buciuman, Madalina-Octavia, Oeztuerk, Oemer Faruk, Popovic, David, Enrico, Paolo, Ruef, Anne, Bieler, Nadia, Sarisik, Elif, Weiske, Johanna, Dong, Mark Sen, Dwyer, Dominic B., Kambeitz-Ilankovic, Lana, Haas, Shalaila S., Stainton, Alexandra, Ruhrmann, Stephan, Chisholm, Katharine, Kambeitz, Joseph, Riecher-Rössler, Anita, Upthegrove, Rachel, Schultze-Lutter, Frauke, Salokangas, Raimo K.R., Hietala, Jarmo, Pantelis, Christos, Lencer, Rebekka, Meisenzahl, Eva, Wood, Stephen J., Brambilla, Paolo, Borgwardt, Stefan, Falkai, Peter, Antonucci, Linda A., Bertolino, Alessandro, Liddle, Peter, and Koutsouleris, Nikolaos

Abstract

Background: Formal thought disorder (FThD) is a core feature of psychosis, and its severity and long-term persistence relates to poor clinical outcomes. However, advances in developing early recognition and management tools for FThD are hindered by a lack of insight into the brain-level predictors of FThD states and progression at the individual level. Methods: Two hundred thirty-three individuals with recent-onset psychosis were drawn from the multisite European Prognostic Tools for Early Psychosis Management study. Support vector machine classifiers were trained within a cross-validation framework to separate two FThD symptom-based subgroups (high vs. low FThD severity), using cross-sectional whole-brain multiband fractional amplitude of low frequency fluctuations, gray matter volume and white matter volume data. Moreover, we trained machine learning models on these neuroimaging readouts to predict the persistence of high FThD subgroup membership from baseline to 1-year follow-up. Results: Cross-sectionally, multivariate patterns of gray matter volume within the salience, dorsal attention, visual, and ventral attention networks separated the FThD severity subgroups (balanced accuracy [BAC] = 60.8%). Longitudinally, distributed activations/deactivations within all fractional amplitude of low frequency fluctuation sub-bands (BAC slow-5 = 73.2%, BAC slow-4 = 72.9%, BAC slow-3 = 68.0%), gray matter volume patterns overlapping with the cross-sectional ones (BAC = 62.7%), and smaller frontal white matter volume (BAC = 73.1%) predicted the persistence of high FThD severity from baseline to follow-up, with a combined multimodal balanced accuracy of BAC = 77%. Conclusions: We report the first evidence of brain structural and functional patterns predictive of FThD severity and persistence in early psychosis. These findings open up avenues for the development of neuroimaging-based diagnostic, prognostic, and treatment options for the early recognition and management of FThD

Published
2023

17. Psychosis brain subtypes validated in first-episode cohorts and related to illness remission: results from the PHENOM consortium

Author

Onderzoek, Brain, Dwyer, Dominic B, Chand, Ganesh B, Pigoni, Alessandro, Khuntia, Adyasha, Wen, Junhao, Antoniades, Mathilde, Hwang, Gyujoon, Erus, Guray, Doshi, Jimit, Srinivasan, Dhivya, Varol, Erdem, Kahn, Rene S, Schnack, Hugo G, Meisenzahl, Eva, Wood, Stephen J, Zhuo, Chuanjun, Sotiras, Aristeidis, Shinohara, Russell T, Shou, Haochang, Fan, Yong, Schaulfelberger, Maristela, Rosa, Pedro, Lalousis, Paris A, Upthegrove, Rachel, Kaczkurkin, Antonia N, Moore, Tyler M, Nelson, Barnaby, Gur, Raquel E, Gur, Ruben C, Ritchie, Marylyn D, Satterthwaite, Theodore D, Murray, Robin M, Di Forti, Marta, Ciufolini, Simone, Zanetti, Marcus V, Wolf, Daniel H, Pantelis, Christos, Crespo-Facorro, Benedicto, Busatto, Geraldo F, Davatzikos, Christos, Koutsouleris, Nikolaos, Dazzan, Paola, Onderzoek, Brain, Dwyer, Dominic B, Chand, Ganesh B, Pigoni, Alessandro, Khuntia, Adyasha, Wen, Junhao, Antoniades, Mathilde, Hwang, Gyujoon, Erus, Guray, Doshi, Jimit, Srinivasan, Dhivya, Varol, Erdem, Kahn, Rene S, Schnack, Hugo G, Meisenzahl, Eva, Wood, Stephen J, Zhuo, Chuanjun, Sotiras, Aristeidis, Shinohara, Russell T, Shou, Haochang, Fan, Yong, Schaulfelberger, Maristela, Rosa, Pedro, Lalousis, Paris A, Upthegrove, Rachel, Kaczkurkin, Antonia N, Moore, Tyler M, Nelson, Barnaby, Gur, Raquel E, Gur, Ruben C, Ritchie, Marylyn D, Satterthwaite, Theodore D, Murray, Robin M, Di Forti, Marta, Ciufolini, Simone, Zanetti, Marcus V, Wolf, Daniel H, Pantelis, Christos, Crespo-Facorro, Benedicto, Busatto, Geraldo F, Davatzikos, Christos, Koutsouleris, Nikolaos, and Dazzan, Paola

Published
2023

18. Assessment of Neuroanatomical Endophenotypes of Autism Spectrum Disorder and Association With Characteristics of Individuals With Schizophrenia and the General Population

Author

Onderzoek, Brain, Hwang, Gyujoon, Wen, Junhao, Sotardi, Susan, Brodkin, Edward S, Chand, Ganesh B, Dwyer, Dominic B, Erus, Guray, Doshi, Jimit, Singhal, Pankhuri, Srinivasan, Dhivya, Varol, Erdem, Sotiras, Aristeidis, Dazzan, Paola, Kahn, Rene S, Schnack, Hugo G, Zanetti, Marcus V, Meisenzahl, Eva, Busatto, Geraldo F, Crespo-Facorro, Benedicto, Pantelis, Christos, Wood, Stephen J, Zhuo, Chuanjun, Shinohara, Russell T, Shou, Haochang, Fan, Yong, Di Martino, Adriana, Koutsouleris, Nikolaos, Gur, Raquel E, Gur, Ruben C, Satterthwaite, Theodore D, Wolf, Daniel H, Davatzikos, Christos, Onderzoek, Brain, Hwang, Gyujoon, Wen, Junhao, Sotardi, Susan, Brodkin, Edward S, Chand, Ganesh B, Dwyer, Dominic B, Erus, Guray, Doshi, Jimit, Singhal, Pankhuri, Srinivasan, Dhivya, Varol, Erdem, Sotiras, Aristeidis, Dazzan, Paola, Kahn, Rene S, Schnack, Hugo G, Zanetti, Marcus V, Meisenzahl, Eva, Busatto, Geraldo F, Crespo-Facorro, Benedicto, Pantelis, Christos, Wood, Stephen J, Zhuo, Chuanjun, Shinohara, Russell T, Shou, Haochang, Fan, Yong, Di Martino, Adriana, Koutsouleris, Nikolaos, Gur, Raquel E, Gur, Ruben C, Satterthwaite, Theodore D, Wolf, Daniel H, and Davatzikos, Christos

Published
2023

19. Psychosis brain subtypes validated in first-episode cohorts and related to illness remission: results from the PHENOM consortium

Author

National Institutes of Health (US), National Health and Medical Research Council (Australia), Council of Australian University Librarians, Dwyer, Dominic B., Chand, Ganesh B., Pigoni, Alessandro, Khuntia, Adyasha, Wen, Junhao, Antoniades, Mathilde, Hwang, Gyujoon, Erus, Guray, Doshi, Jimit, Srinivasan, Dhivya, Varol, Erdem, Kahn, Rene S., Schnack, Hugo G., Meisenzahl, Eva, Wood, Stephen J., Zhuo, Chuanjun, Sotiras, Aristeidis, Shinohara, Russell T., Shou, Haochang, Fan, Yong, Schaulfelberger, Maristela, Rosa, Pedro, Lalousis, Paris A., Upthegrove, Rachel, Kaczkurkin, Antonia N., Moore, Tyler M., Nelson, Barnaby, Gur, Rachel E., Gur, Ruben C., Ritchie, Marylyn D., Satterthwaite, Theodore D., Murray, Robin M., Forti, Marta Di, Ciufolini, Simone, Zanetti, Marcus V., Wolf, Daniel H., Pantelis, Christos, Crespo-Facorro, Benedicto, Busatto, Geraldo F., Davatzikos, Christos, Koutsouleris, Nikolaos, Dazzan, Paola, National Institutes of Health (US), National Health and Medical Research Council (Australia), Council of Australian University Librarians, Dwyer, Dominic B., Chand, Ganesh B., Pigoni, Alessandro, Khuntia, Adyasha, Wen, Junhao, Antoniades, Mathilde, Hwang, Gyujoon, Erus, Guray, Doshi, Jimit, Srinivasan, Dhivya, Varol, Erdem, Kahn, Rene S., Schnack, Hugo G., Meisenzahl, Eva, Wood, Stephen J., Zhuo, Chuanjun, Sotiras, Aristeidis, Shinohara, Russell T., Shou, Haochang, Fan, Yong, Schaulfelberger, Maristela, Rosa, Pedro, Lalousis, Paris A., Upthegrove, Rachel, Kaczkurkin, Antonia N., Moore, Tyler M., Nelson, Barnaby, Gur, Rachel E., Gur, Ruben C., Ritchie, Marylyn D., Satterthwaite, Theodore D., Murray, Robin M., Forti, Marta Di, Ciufolini, Simone, Zanetti, Marcus V., Wolf, Daniel H., Pantelis, Christos, Crespo-Facorro, Benedicto, Busatto, Geraldo F., Davatzikos, Christos, Koutsouleris, Nikolaos, and Dazzan, Paola

Abstract

Using machine learning, we recently decomposed the neuroanatomical heterogeneity of established schizophrenia to discover two volumetric subgroups—a ‘lower brain volume’ subgroup (SG1) and an ‘higher striatal volume’ subgroup (SG2) with otherwise normal brain structure. In this study, we investigated whether the MRI signatures of these subgroups were also already present at the time of the first-episode of psychosis (FEP) and whether they were related to clinical presentation and clinical remission over 1-, 3-, and 5-years. We included 572 FEP and 424 healthy controls (HC) from 4 sites (Sao Paulo, Santander, London, Melbourne) of the PHENOM consortium. Our prior MRI subgrouping models (671 participants; USA, Germany, and China) were applied to both FEP and HC. Participants were assigned into 1 of 4 categories: subgroup 1 (SG1), subgroup 2 (SG2), no subgroup membership (‘None’), and mixed SG1 + SG2 subgroups (‘Mixed’). Voxel-wise analyses characterized SG1 and SG2 subgroups. Supervised machine learning analyses characterized baseline and remission signatures related to SG1 and SG2 membership. The two dominant patterns of ‘lower brain volume’ in SG1 and ‘higher striatal volume’ (with otherwise normal neuromorphology) in SG2 were identified already at the first episode of psychosis. SG1 had a significantly higher proportion of FEP (32%) vs. HC (19%) than SG2 (FEP, 21%; HC, 23%). Clinical multivariate signatures separated the SG1 and SG2 subgroups (balanced accuracy = 64%; p < 0.0001), with SG2 showing higher education but also greater positive psychosis symptoms at first presentation, and an association with symptom remission at 1-year, 5-year, and when timepoints were combined. Neuromorphological subtypes of schizophrenia are already evident at illness onset, separated by distinct clinical presentations, and differentially associated with subsequent remission. These results suggest that the subgroups may be underlying risk phenotypes that could be targeted in future t

Published
2023

22. Visual disturbances in recent-onset psychosis and clinical high-risk state for psychosis

Author

Lencer, Rebekka, primary, Schwarzer, Johanna, additional, Meyhoefer, Inga, additional, Antonucci, Linda A., additional, Kambeitz-Ilankovic, Lana, additional, Surmann, Marian, additional, Bienek, Olga, additional, Romer, Georg, additional, Dannlowski, Udo, additional, Hahn, Tim, additional, Korda, Alexandra, additional, Dwyer, Dominic B., additional, Ruef, Anne, additional, Haas, Shalaila S., additional, Kambeitz, Joseph, additional, Salokangas, Raimo K.R., additional, Pantelis, Christos, additional, Schultze-Lutter, Frauke, additional, Meisenzahl, Eva, additional, Brambilla, Paolo, additional, Bertolino, Alessandro, additional, Borgwardt, Stefan, additional, Upthegrove, Rachel, additional, and Koutsouleris, Nikolaos, additional

Published
2022
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23. Schizophrenia Imaging Signatures and Their Associations With Cognition, Psychopathology, and Genetics in the General Population

Author

Chand, Ganesh B., primary, Singhal, Pankhuri, additional, Dwyer, Dominic B., additional, Wen, Junhao, additional, Erus, Guray, additional, Doshi, Jimit, additional, Srinivasan, Dhivya, additional, Mamourian, Elizabeth, additional, Varol, Erdem, additional, Sotiras, Aristeidis, additional, Hwang, Gyujoon, additional, Dazzan, Paola, additional, Kahn, Rene S., additional, Schnack, Hugo G., additional, Zanetti, Marcus V., additional, Meisenzahl, Eva, additional, Busatto, Geraldo F., additional, Crespo-Facorro, Benedicto, additional, Pantelis, Christos, additional, Wood, Stephen J., additional, Zhuo, Chuanjun, additional, Shinohara, Russell T., additional, Shou, Haochang, additional, Fan, Yong, additional, Koutsouleris, Nikolaos, additional, Kaczkurkin, Antonia N., additional, Moore, Tyler M., additional, Verma, Anurag, additional, Calkins, Monica E., additional, Gur, Raquel E., additional, Gur, Ruben C., additional, Ritchie, Marylyn D., additional, Satterthwaite, Theodore D., additional, Wolf, Daniel H., additional, and Davatzikos, Christos, additional

Published
2022
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24. Three Imaging Endophenotypes Characterize Neuroanatomical Heterogeneity of Autism Spectrum Disorder

Author

Hwang, Gyujoon, primary, Wen, Junhao, additional, Sotardi, Susan, additional, Brodkin, Edward S, additional, Chand, Ganesh B, additional, Dwyer, Dominic B, additional, Erus, Guray, additional, Doshi, Jimit, additional, Singhal, Pankhuri, additional, Srinivasan, Dhivya, additional, Varol, Erdem, additional, Sotiras, Aristeidis, additional, Dazzan, Paola, additional, Kahn, Rene S, additional, Schnack, Hugo G, additional, Zanetti, Marcus V, additional, Meisenzahl, Eva, additional, Busatto, Geraldo F, additional, Crespo-Facorro, Benedicto, additional, Pantelis, Christos, additional, Wood, Stephen J, additional, Zhuo, Chuanjun, additional, Shinohara, Russell T, additional, Shou, Haochang, additional, Fan, Yong, additional, Koutsouleris, Nikolaos, additional, Gur, Raquel E, additional, Gur, Ruben C, additional, Satterhwaite, Theodore D, additional, Wolf, Daniel H, additional, and Davatzikos, Christos, additional

Published
2022
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25. Exploring Links Between Psychosis and Frontotemporal Dementia Using Multimodal Machine Learning Dementia Praecox Revisited

Author

Koutsouleris, Nikolaos, Pantelis, Christos, Velakoulis, Dennis, McGuire, Philip, Dwyer, Dominic B., Urquijo-Castro, Maria-Fernanda, Paul, Riya, Popovic, David, Oeztuerk, Oemer, Kambeitz, Joseph, Salokangas, Raimo K. R., Hietala, Jarmo, Bertolino, Alessandro, Brambilla, Paolo, Upthegrove, Rachel, Wood, Stephen J., Lencer, Rebekka, Borgwardt, Stefan, Maj, Carlo, Nothen, Markus, Degenhardt, Franziska, Polyakova, Maryna, Mueller, Karsten, Villringer, Arno, Danek, Adrian, Fassbender, Klaus, Fliessbach, Klaus, Jahn, Holger, Kornhuber, Johannes, Landwehrmeyer, Bernhard, Anderl-Straub, Sarah, Prudlo, Johannes, Synofzik, Matthis, Wiltfang, Jens, Riedl, Lina, Diehl-Schmid, Janine, Otto, Markus, Meisenzahl, Eva, Falkai, Peter, Schroeter, Matthias L., Koutsouleris, Nikolaos, Pantelis, Christos, Velakoulis, Dennis, McGuire, Philip, Dwyer, Dominic B., Urquijo-Castro, Maria-Fernanda, Paul, Riya, Popovic, David, Oeztuerk, Oemer, Kambeitz, Joseph, Salokangas, Raimo K. R., Hietala, Jarmo, Bertolino, Alessandro, Brambilla, Paolo, Upthegrove, Rachel, Wood, Stephen J., Lencer, Rebekka, Borgwardt, Stefan, Maj, Carlo, Nothen, Markus, Degenhardt, Franziska, Polyakova, Maryna, Mueller, Karsten, Villringer, Arno, Danek, Adrian, Fassbender, Klaus, Fliessbach, Klaus, Jahn, Holger, Kornhuber, Johannes, Landwehrmeyer, Bernhard, Anderl-Straub, Sarah, Prudlo, Johannes, Synofzik, Matthis, Wiltfang, Jens, Riedl, Lina, Diehl-Schmid, Janine, Otto, Markus, Meisenzahl, Eva, Falkai, Peter, and Schroeter, Matthias L.

Abstract

IMPORTANCE The behavioral and cognitive symptoms of severe psychotic disorders overlap with those seen in dementia. However, shared brain alterations remain disputed, and their relevance for patients in at-risk disease stages has not been explored so far. OBJECTIVE To use machine learning to compare the expression of structural magnetic resonance imaging (MRI) patterns of behavioral-variant frontotemporal dementia (bvFTD), Alzheimer disease (AD). and schizophrenia; estimate predictability in patients with bvFTD and schizophrenia based on sociodemographic, clinical, and biological data; and examine prognostic value, genetic underpinnings, and progression in patients with clinical high-risk (CHR) states for psychosis or recent-onset depression (ROD). DESIGN, SETTING, AND PARTICIPANTS This study included 1870 individuals from S cohorts, including (1) patients with bvFTD (n =108), established AD (n = 44), mild cognitive impairment or early-stage AD (n = 96), schizophrenia (n = 157), or major depression (n = 102) to derive and compare diagnostic patterns and (2) patients with CHR (n = 160) or ROD (n = 161) to test patterns' prognostic relevance and progression. Healthy individuals (n = 1042) were used for age-related and cohort-related data calibration. Data were collected from January 1996 to July 2019 and analyzed between April 2020 and April 2022. MAIN OUTCOMES AND MEASURES Case assignments based on diagnostic patterns; sociodemographic, clinical, and biological data; 2-year functional outcomes and genetic separability of patients with CHR and ROD with high vs low pattern expression; and pattern progression from baseline to follow-up MRI scans in patients with nonrecovery vs preserved recovery. RESULTS Of 1870 included patients, 902 (48.2%) were female, and the mean (SD) age was 38.0 (19.3) years. The bvFTD pattern comprising prefrontal, insular, and limbic volume reductions was more expressed in patients with schizophrenia (65 of 157 [41.2%]) and major depression (22

Published
2022

26. Novel Gyrification Networks Reveal Links with Psychiatric Risk Factors in Early Illness

Author

Sanfelici, Rachele, Ruef, Anne, Antonucci, Linda A., Penzel, Nora, Sotiras, Aristeidis, Sen Dong, Mark, Urquijo-Castro, Maria, Wenzel, Julian, Kambeitz-Ilankovic, Lana, Hettwer, Meike D., Ruhrmann, Stephan, Chisholm, Katharine, Riecher-Rossler, Anita, Falkai, Peter, Pantelis, Christos, Salokangas, Raimo K. R., Lencer, Rebekka, Bertolino, Alessandro, Kambeitz, Joseph, Meisenzahl, Eva, Borgwardt, Stefan, Brambilla, Paolo, Wood, Stephen J., Upthegrove, Rachel, Schultze-Lutter, Frauke, Koutsouleris, Nikolaos, Dwyer, Dominic B., Sanfelici, Rachele, Ruef, Anne, Antonucci, Linda A., Penzel, Nora, Sotiras, Aristeidis, Sen Dong, Mark, Urquijo-Castro, Maria, Wenzel, Julian, Kambeitz-Ilankovic, Lana, Hettwer, Meike D., Ruhrmann, Stephan, Chisholm, Katharine, Riecher-Rossler, Anita, Falkai, Peter, Pantelis, Christos, Salokangas, Raimo K. R., Lencer, Rebekka, Bertolino, Alessandro, Kambeitz, Joseph, Meisenzahl, Eva, Borgwardt, Stefan, Brambilla, Paolo, Wood, Stephen J., Upthegrove, Rachel, Schultze-Lutter, Frauke, Koutsouleris, Nikolaos, and Dwyer, Dominic B.

Abstract

Adult gyrification provides a window into coordinated early neurodevelopment when disruptions predispose individuals to psychiatric illness. We hypothesized that the echoes of such disruptions should be observed within structural gyrification networks in early psychiatric illness that would demonstrate associations with developmentally relevant variables rather than specific psychiatric symptoms. We employed a new data-driven method (Orthogonal Projective Non-Negative Matrix Factorization) to delineate novel gyrification-based networks of structural covariance in 308 healthy controls. Gyrification within the networks was then compared to 713 patients with recent onset psychosis or depression, and at clinical high-risk. Associations with diagnosis, symptoms, cognition, and functioning were investigated using linear models. Results demonstrated 18 novel gyrification networks in controls as verified by internal and external validation. Gyrification was reduced in patients in temporal-insular, lateral occipital, and lateral fronto-parietal networks (p(FDR) < 0.01) and was not moderated by illness group. Higher gyrification was associated with better cognitive performance and lifetime role functioning, but not with symptoms. The findings demonstrated that gyrification can be parsed into novel brain networks that highlight generalized illness effects linked to developmental vulnerability. When combined, our study widens the window into the etiology of psychiatric risk and its expression in adulthood.

Published
2022

27. Clinical, Brain, and Multilevel Clustering in Early Psychosis and Affective Stages

Author

Dwyer, Dominic B., Buciuman, Madalina-Octavia, Ruef, Anne, Kambeitz, Joseph, Sen Dong, Mark, Stinson, Caedyn, Kambeitz-Ilankovic, Lana, Degenhardt, Franziska, Sanfelici, Rachele, Antonucci, Linda A., Lalousis, Paris Alexandros, Wenzel, Julian, Urquijo-Castro, Maria Fernanda, Popovic, David, Oeztuerk, Oemer Faruk, Haas, Shalaila S., Weiske, Johanna, Hauke, Daniel, Neufang, Susanne, Schmidt-Kraepelin, Christian, Ruhrmann, Stephan, Penzel, Nora, Lichtenstein, Theresa, Rosen, Marlene, Chisholm, Katharine, Riecher-Roessler, Anita, Egloff, Laura, Schmidt, Andre, Andreou, Christina, Hietala, Jarmo, Schirmer, Timo, Romer, Georg, Michel, Chantal, Rossler, Wulf, Maj, Carlo, Borisov, Oleg, Krawitz, Peter M., Falkai, Peter, Pantelis, Christos, Lencer, Rebekka, Bertolino, Alessandro, Borgwardt, Stefan, Noethen, Markus, Brambilla, Paolo, Schultze-Lutter, Frauke, Meisenzahl, Eva, Wood, Stephen J., Davatzikos, Christos, Upthegrove, Rachel, Salokangas, Raimo K. R., Koutsouleris, Nikolaos, Dwyer, Dominic B., Buciuman, Madalina-Octavia, Ruef, Anne, Kambeitz, Joseph, Sen Dong, Mark, Stinson, Caedyn, Kambeitz-Ilankovic, Lana, Degenhardt, Franziska, Sanfelici, Rachele, Antonucci, Linda A., Lalousis, Paris Alexandros, Wenzel, Julian, Urquijo-Castro, Maria Fernanda, Popovic, David, Oeztuerk, Oemer Faruk, Haas, Shalaila S., Weiske, Johanna, Hauke, Daniel, Neufang, Susanne, Schmidt-Kraepelin, Christian, Ruhrmann, Stephan, Penzel, Nora, Lichtenstein, Theresa, Rosen, Marlene, Chisholm, Katharine, Riecher-Roessler, Anita, Egloff, Laura, Schmidt, Andre, Andreou, Christina, Hietala, Jarmo, Schirmer, Timo, Romer, Georg, Michel, Chantal, Rossler, Wulf, Maj, Carlo, Borisov, Oleg, Krawitz, Peter M., Falkai, Peter, Pantelis, Christos, Lencer, Rebekka, Bertolino, Alessandro, Borgwardt, Stefan, Noethen, Markus, Brambilla, Paolo, Schultze-Lutter, Frauke, Meisenzahl, Eva, Wood, Stephen J., Davatzikos, Christos, Upthegrove, Rachel, Salokangas, Raimo K. R., and Koutsouleris, Nikolaos

Abstract

IMPORTANCE Approaches are needed to stratify individuals in early psychosis stages beyond positive symptom severity to investigate specificity related to affective and normative variation and to validate solutions with premorbid, longitudinal, and genetic risk measures. OBJECTIVE To use machine learning techniques to cluster, compare, and combine subgroup solutions using clinical and brain structural imaging data from early psychosis and depression stages. DESIGN, SETTING, AND PARTICIPANTS A multisite, naturalistic, longitudinal cohort study (10 sites in 5 European countries; including major follow-up intervals at 9 and 18 months) with a referred patient sample of those with clinical high risk for psychosis (CHR-P), recent-onset psychosis (ROP), recent-onset depression (ROD), and healthy controls were recruited between February 1, 2014, to July 1, 2019. Data were analyzed between January 2020 and January 2022. MAIN OUTCOMES AND MEASURES A nonnegative matrix factorization technique separately decomposed clinical (287 variables) and parcellated brain structural volume (204 gray, white, and cerebrospinal fluid regions) data across CHR-P, ROP, ROD, and healthy controls study groups. Stability criteria determined cluster number using nested cross-validation. Validation targets were compared across subgroup solutions (premorbid, longitudinal, and schizophrenia polygenic risk scores). Multiclass supervised machine learning produced a transferable solution to the validation sample. RESULTS There were a total of 749 individuals in the discovery group and 610 individuals in the validation group. Individuals included those with CHR-P (n = 287), ROP (n = 323), ROD (n = 285), and healthy controls (n = 464), The mean (SD) age was 25.1 (5.9) years, and 702 (51.7%) were female. A clinical 4-dimensional solution separated individuals based on positive symptoms, negative symptoms, depression, and functioning, demonstrating associations with all validation targets. Brain clustering re

Published
2022

28. Schizophrenia Imaging Signatures and Their Associations With Cognition, Psychopathology, and Genetics in the General Population

Author

Onderzoeksgroep 11, Brain, Onderzoek, Chand, Ganesh B, Singhal, Pankhuri, Dwyer, Dominic B, Wen, Junhao, Erus, Guray, Doshi, Jimit, Srinivasan, Dhivya, Mamourian, Elizabeth, Varol, Erdem, Sotiras, Aristeidis, Hwang, Gyujoon, Dazzan, Paola, Kahn, Rene S, Schnack, Hugo G, Zanetti, Marcus V, Meisenzahl, Eva, Busatto, Geraldo F, Crespo-Facorro, Benedicto, Pantelis, Christos, Wood, Stephen J, Zhuo, Chuanjun, Shinohara, Russell T, Shou, Haochang, Fan, Yong, Koutsouleris, Nikolaos, Kaczkurkin, Antonia N, Moore, Tyler M, Verma, Anurag, Calkins, Monica E, Gur, Raquel E, Gur, Ruben C, Ritchie, Marylyn D, Satterthwaite, Theodore D, Wolf, Daniel H, Davatzikos, Christos, Onderzoeksgroep 11, Brain, Onderzoek, Chand, Ganesh B, Singhal, Pankhuri, Dwyer, Dominic B, Wen, Junhao, Erus, Guray, Doshi, Jimit, Srinivasan, Dhivya, Mamourian, Elizabeth, Varol, Erdem, Sotiras, Aristeidis, Hwang, Gyujoon, Dazzan, Paola, Kahn, Rene S, Schnack, Hugo G, Zanetti, Marcus V, Meisenzahl, Eva, Busatto, Geraldo F, Crespo-Facorro, Benedicto, Pantelis, Christos, Wood, Stephen J, Zhuo, Chuanjun, Shinohara, Russell T, Shou, Haochang, Fan, Yong, Koutsouleris, Nikolaos, Kaczkurkin, Antonia N, Moore, Tyler M, Verma, Anurag, Calkins, Monica E, Gur, Raquel E, Gur, Ruben C, Ritchie, Marylyn D, Satterthwaite, Theodore D, Wolf, Daniel H, and Davatzikos, Christos

Published
2022

29. P580. Two Schizophrenia Neuroanatomical Signatures From the PHENOM Consortium and Their Association With Psychopathology, Cognition, and Genetics in the Population-Level Samples

Author

Chand, Ganesh, primary, Singhal, Pankhuri, additional, Dwyer, Dominic B., additional, Wen, Junhao, additional, Erus, Guray, additional, Varol, Erdem, additional, Hwang, Gyujoon, additional, Dazzan, Paola, additional, Kahn, Rene S., additional, Schnack, Hugo G., additional, Zanetti, Marcus V., additional, Busatto, Geraldo F., additional, Crespo-Facorro, Benedicto, additional, Pantelis, Christos, additional, Wood, Stephen J., additional, Zhuo, Chuanjun, additional, Shou, Haochang, additional, Fan, Yong, additional, Koutsouleris, Nikolaos, additional, Gur, Raquel, additional, Gur, Ruben C., additional, Ritchie, Marylyn, additional, Satterthwaite, Theodore D., additional, Wolf, Daniel H., additional, and Davatzikos, Christos, additional

Published
2022
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30. Two schizophrenia imaging signatures and their associations with cognition, psychopathology, and genetics in the general population

Author

Chand, Ganesh B, primary, Singhal, Pankhuri, additional, Dwyer, Dominic B, additional, Wen, Junhao, additional, Erus, Guray, additional, Doshi, Jimit, additional, Srinivasan, Dhivya, additional, Mamourian, Elizabeth, additional, Varol, Erdem, additional, Sotiras, Aristeidis, additional, Hwang, Gyujoon, additional, Dazzan, Paola, additional, Kahn, Rene S, additional, Schnack, Hugo G, additional, Zanetti, Marcus V, additional, Meisenzahl, Eva, additional, Busatto, Geraldo F, additional, Crespo-Facorro, Benedicto, additional, Pantelis, Christos, additional, Wood, Stephen J, additional, Zhuo, Chuanjun, additional, Shinohara, Russell T, additional, Shou, Haochang, additional, Fan, Yong, additional, Koutsouleris, Nikolaos, additional, Kaczkurkin, Antonia N, additional, Moore, Tyler M, additional, Verma, Anurag, additional, Calkins, Monica E, additional, Gur, Raquel E, additional, Gur, Ruben C, additional, Ritchie, Marylyn D, additional, Satterthwaite, Theodore D, additional, Wolf, Daniel H, additional, and Davatzikos, Christos, additional

Published
2022
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31. Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes

Author

Wen, Junhao, primary, Varol, Erdem, additional, Sotiras, Aristeidis, additional, Yang, Zhijian, additional, Chand, Ganesh B., additional, Erus, Guray, additional, Shou, Haochang, additional, Abdulkadir, Ahmed, additional, Hwang, Gyujoon, additional, Dwyer, Dominic B., additional, Pigoni, Alessandro, additional, Dazzan, Paola, additional, Kahn, Rene S., additional, Schnack, Hugo G., additional, Zanetti, Marcus V., additional, Meisenzahl, Eva, additional, Busatto, Geraldo F., additional, Crespo-Facorro, Benedicto, additional, Rafael, Romero-Garcia, additional, Pantelis, Christos, additional, Wood, Stephen J., additional, Zhuo, Chuanjun, additional, Shinohara, Russell T., additional, Fan, Yong, additional, Gur, Ruben C., additional, Gur, Raquel E., additional, Satterthwaite, Theodore D., additional, Koutsouleris, Nikolaos, additional, Wolf, Daniel H., additional, and Davatzikos, Christos, additional

Published
2022
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32. The clinical relevance of formal thought disorder in the early stages of psychosis: results from the PRONIA study

Author

Oeztuerk, Oemer Faruk, Pigoni, Alessandro, Wenzel, Julian, Haas, Shalaila S, Popovic, David, Ruef, Anne, Dwyer, Dominic B, Kambeitz-Ilankovic, Lana, Ruhrmann, Stephan, Chisholm, Katharine, Lalousis, Paris, Griffiths, Sian Lowri, Lichtenstein, Theresa, Rosen, Marlene, Kambeitz, Joseph, Schultze-Lutter, Frauke, Liddle, Peter, Upthegrove, Rachel, Salokangas, Raimo K R, Pantelis, Christos, Meisenzahl, Eva, Wood, Stephen J, Brambilla, Paolo, Borgwardt, Stefan, Falkai, Peter, Antonucci, Linda A, Koutsouleris, Nikolaos, and PRONIA Consortium

Subjects
mental disorders
Abstract

Background: Formal thought disorder (FTD) has been associated with more severe illness courses and functional deficits in patients with psychotic disorders. However, it remains unclear whether the presence of FTD characterises a specific subgroup of patients showing more prominent illness severity, neurocognitive and functional impairments. This study aimed to identify stable and generalizable FTD-subgroups of patients with recent-onset psychosis (ROP) by applying a comprehensive data-driven clustering approach and to test the validity of these subgroups by assessing associations between this FTD-related stratification, social and occupational functioning, and neurocognition. Methods: 279 patients with ROP were recruited as part of the multi-site European PRONIA study (Personalised Prognostic Tools for Early Psychosis Management; www.pronia.eu). Five FTD-related symptoms (conceptual disorganization, poverty of content of speech, difficulty in abstract thinking, increased latency of response and poverty of speech) were assessed with Positive and Negative Symptom Scale (PANSS) and the Scale for the Assessment of Negative Symptoms (SANS). Results: The results with two patient subgroups showing different levels of FTD were the most stable and generalizable clustering solution (predicted clustering strength value = 0.86). FTD-High subgroup had lower scores in social (p fdr < 0.001) and role (p fdr < 0.001) functioning, as well as worse neurocognitive performance in semantic (p fdr < 0.001) and phonological verbal fluency (p fdr < 0.001), short-term verbal memory (p fdr = 0.002) and abstract thinking (p fdr = 0.010), in comparison to FTD-Low group. Conclusions: Clustering techniques allowed us to identify patients with more pronounced FTD showing more severe deficits in functioning and neurocognition, thus suggesting that FTD may be a relevant marker of illness severity in the early psychosis pathway.

Published
2021

34. Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression

Author

Koutsouleris, Nikolaos, Dwyer, Dominic B, Degenhardt, Franziska, Maj, Carlo, Urquijo-Castro, Maria Fernanda, Sanfelici, Rachele, Popovic, David, Oeztuerk, Oemer, Haas, Shalaila S, Weiske, Johanna, Ruef, Anne, Kambeitz-Ilankovic, Lana, Antonucci, Linda A, Neufang, Susanne, Schmidt-Kraepelin, Christian, Ruhrmann, Stephan, Penzel, Nora, Kambeitz, Joseph, Haidl, Theresa K, Rosen, Marlene, Chisholm, Katharine, Riecher-Rössler, Anita, Egloff, Laura, Schmidt, André, Andreou, Christina, Hietala, Jarmo, Schirmer, Timo, Romer, Georg, Walger, Petra, Franscini, Maurizia, et al, Traber-Walker, Nina, Rössler, Wulf, Heekeren, Karsten, Büchler, Roman, Theodoridou, Anastasia, University of Zurich, and Koutsouleris, Nikolaos

Subjects
2738 Psychiatry and Mental Health, Psychiatry and Mental health, 10043 Clinic for Neuroradiology, 10054 Clinic for Psychiatry, Psychotherapy, and Psychosomatics, 610 Medicine & health, 10058 Department of Child and Adolescent Psychiatry
Published
2021
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35. The clinical relevance of formal thought disorder in the early stages of psychosis: results from the PRONIA study

Author

PRONIA Consortium, Oeztuerk, Oemer Faruk, Pigoni, Alessandro, Wenzel, Julian, Haas, Shalaila S, Popovic, David, Ruef, Anne, Dwyer, Dominic B, Kambeitz-Ilankovic, Lana, Ruhrmann, Stephan, Chisholm, Katharine, Lalousis, Paris, Griffiths, Sian Lowri, Lichtenstein, Theresa, Rosen, Marlene, Kambeitz, Joseph, Schultze-Lutter, Frauke, Liddle, Peter, Upthegrove, Rachel, Salokangas, Raimo K R, Pantelis, Christos, Meisenzahl, Eva, Wood, Stephen J, Brambilla, Paolo, Borgwardt, Stefan, Falkai, Peter, Antonucci, Linda A, Koutsouleris, Nikolaos, PRONIA Consortium, Oeztuerk, Oemer Faruk, Pigoni, Alessandro, Wenzel, Julian, Haas, Shalaila S, Popovic, David, Ruef, Anne, Dwyer, Dominic B, Kambeitz-Ilankovic, Lana, Ruhrmann, Stephan, Chisholm, Katharine, Lalousis, Paris, Griffiths, Sian Lowri, Lichtenstein, Theresa, Rosen, Marlene, Kambeitz, Joseph, Schultze-Lutter, Frauke, Liddle, Peter, Upthegrove, Rachel, Salokangas, Raimo K R, Pantelis, Christos, Meisenzahl, Eva, Wood, Stephen J, Brambilla, Paolo, Borgwardt, Stefan, Falkai, Peter, Antonucci, Linda A, and Koutsouleris, Nikolaos

Abstract

Background: Formal thought disorder (FTD) has been associated with more severe illness courses and functional deficits in patients with psychotic disorders. However, it remains unclear whether the presence of FTD characterises a specific subgroup of patients showing more prominent illness severity, neurocognitive and functional impairments. This study aimed to identify stable and generalizable FTD-subgroups of patients with recent-onset psychosis (ROP) by applying a comprehensive data-driven clustering approach and to test the validity of these subgroups by assessing associations between this FTD-related stratification, social and occupational functioning, and neurocognition. Methods: 279 patients with ROP were recruited as part of the multi-site European PRONIA study (Personalised Prognostic Tools for Early Psychosis Management; www.pronia.eu). Five FTD-related symptoms (conceptual disorganization, poverty of content of speech, difficulty in abstract thinking, increased latency of response and poverty of speech) were assessed with Positive and Negative Symptom Scale (PANSS) and the Scale for the Assessment of Negative Symptoms (SANS). Results: The results with two patient subgroups showing different levels of FTD were the most stable and generalizable clustering solution (predicted clustering strength value = 0.86). FTD-High subgroup had lower scores in social (p fdr < 0.001) and role (p fdr < 0.001) functioning, as well as worse neurocognitive performance in semantic (p fdr < 0.001) and phonological verbal fluency (p fdr < 0.001), short-term verbal memory (p fdr = 0.002) and abstract thinking (p fdr = 0.010), in comparison to FTD-Low group. Conclusions: Clustering techniques allowed us to identify patients with more pronounced FTD showing more severe deficits in functioning and neurocognition, thus suggesting that FTD may be a relevant marker of illness severity in the early psychosis pathway.

Published
2021

36. The Psychopathology and Neuroanatomical Markers of Depression in Early Psychosis

Author

Upthegrove, Rachel, Lalousis, Paris, Mallikarjun, Pavan, Chisholm, Katharine, Griffiths, Sian Lowri, Iqbal, Mariam, Pelton, Mirabel, Reniers, Renate, Stainton, Alexandra, Rosen, Marlene, Ruef, Anne, Dwyer, Dominic B., Surman, Marian, Haidl, Theresa, Penzel, Nora, Kambeitz-Llankovic, Lana, Bertolino, Alessandro, Brambilla, Paolo, Borgwardt, Stefan, Kambeitz, Joseph, Lencer, Rebekka, Pantelis, Christos, Ruhrmann, Stephan, Schultze-Lutter, Frauke, Salokangas, Raimo K. R., Meisenzahl, Eva, Wood, Stephen J., Koutsouleris, Nikolaos, Upthegrove, Rachel, Lalousis, Paris, Mallikarjun, Pavan, Chisholm, Katharine, Griffiths, Sian Lowri, Iqbal, Mariam, Pelton, Mirabel, Reniers, Renate, Stainton, Alexandra, Rosen, Marlene, Ruef, Anne, Dwyer, Dominic B., Surman, Marian, Haidl, Theresa, Penzel, Nora, Kambeitz-Llankovic, Lana, Bertolino, Alessandro, Brambilla, Paolo, Borgwardt, Stefan, Kambeitz, Joseph, Lencer, Rebekka, Pantelis, Christos, Ruhrmann, Stephan, Schultze-Lutter, Frauke, Salokangas, Raimo K. R., Meisenzahl, Eva, Wood, Stephen J., and Koutsouleris, Nikolaos

Abstract

Depression frequently occurs in first-episode psychosis (FEP) and predicts longer-term negative outcomes. It is possible that this depression is seen primarily in a distinct subgroup, which if identified could allow targeted treatments. We hypothesize that patients with recent-onset psychosis (ROP) and comorbid depression would be identifiable by symptoms and neuroanatomical features similar to those seen in recent-onset depression (ROD). Data were extracted from the multisite PRONIA study: 154 ROP patients (FEP within 3 months of treatment onset), of whom 83 were depressed (ROP+D) and 71 who were not depressed (ROP-D), 146 ROD patients, and 265 healthy controls (HC). Analyses included a (1) principal component analysis that established the similar symptom structure of depression in ROD and ROP+D, (2) supervised machine learning (ML) classification with repeated nested cross-validation based on depressive symptoms separating ROD vs ROP+D, which achieved a balanced accuracy (BAC) of 51%, and (3) neuroanatomical ML-based classification, using regions of interest generated from ROD subjects, which identified BAC of 50% (no better than chance) for separation of ROP+D vs ROP-D. We conclude that depression at a symptom level is broadly similar with or without psychosis status in recent-onset disorders; however, this is not driven by a separable depressed subgroup in FEP. Depression may be intrinsic to early stages of psychotic disorder, and thus treating depression could produce widespread benefit.

Published
2021

37. Multimodal prognosis of negative symptom severity in individuals at increased risk of developing psychosis

Author

Hauke, Daniel J., Schmidt, Andre, Studerus, Erich, Andreou, Christina, Riecher-Roessler, Anita, Radua, Joaquim, Kambeitz, Joseph, Ruef, Anne, Dwyer, Dominic B., Kambeitz-Ilankovic, Lana, Lichtenstein, Theresa, Sanfelici, Rachele, Penzel, Nora, Haas, Shalaila S., Antonucci, Linda A., Lalousis, Paris Alexandros, Chisholm, Katharine, Schultze-Lutter, Frauke, Ruhrmann, Stephan, Hietala, Jarmo, Brambilla, Paolo, Koutsouleris, Nikolaos, Meisenzahl, Eva, Pantelis, Christos, Rosen, Marlene, Salokangas, Raimo K. R., Upthegrove, Rachel, Wood, Stephen J., Borgwardt, Stefan, Hauke, Daniel J., Schmidt, Andre, Studerus, Erich, Andreou, Christina, Riecher-Roessler, Anita, Radua, Joaquim, Kambeitz, Joseph, Ruef, Anne, Dwyer, Dominic B., Kambeitz-Ilankovic, Lana, Lichtenstein, Theresa, Sanfelici, Rachele, Penzel, Nora, Haas, Shalaila S., Antonucci, Linda A., Lalousis, Paris Alexandros, Chisholm, Katharine, Schultze-Lutter, Frauke, Ruhrmann, Stephan, Hietala, Jarmo, Brambilla, Paolo, Koutsouleris, Nikolaos, Meisenzahl, Eva, Pantelis, Christos, Rosen, Marlene, Salokangas, Raimo K. R., Upthegrove, Rachel, Wood, Stephen J., and Borgwardt, Stefan

Abstract

Negative symptoms occur frequently in individuals at clinical high risk (CHR) for psychosis and contribute to functional impairments. The aim of this study was to predict negative symptom severity in CHR after 9 months. Predictive models either included baseline negative symptoms measured with the Structured Interview for Psychosis-Risk Syndromes (SIPS-N), whole-brain gyrification, or both to forecast negative symptoms of at least moderate severity in 94 CHR. We also conducted sequential risk stratification to stratify CHR into different risk groups based on the SIPS-N and gyrification model. Additionally, we assessed the models' ability to predict functional outcomes in CHR and their transdiagnostic generalizability to predict negative symptoms in 96 patients with recent-onset psychosis (ROP) and 97 patients with recent-onset depression (ROD). Baseline SIPS-N and gyrification predicted moderate/severe negative symptoms with significant balanced accuracies of 68 and 62%, while the combined model achieved 73% accuracy. Sequential risk stratification stratified CHR into a high (83%), medium (40-64%), and low (19%) risk group regarding their risk of having moderate/severe negative symptoms at 9 months follow-up. The baseline SIPS-N model was also able to predict social (61%), but not role functioning (59%) at above-chance accuracies, whereas the gyrification model achieved significant accuracies in predicting both social (76%) and role (74%) functioning in CHR. Finally, only the baseline SIPS-N model showed transdiagnostic generalization to ROP (63%). This study delivers a multimodal prognostic model to identify those CHR with a clinically relevant negative symptom severity and functional impairments, potentially requiring further therapeutic consideration.

Published
2021

38. Traces of trauma – a multivariate pattern analysis of childhood trauma, brain structure and clinical phenotypes

Author

Popovic, David, Ruef, Anne, Dwyer, Dominic B., Antonucci, Linda A., Eder, Julia, Sanfelici, Rachele, Kambeitz-ilankovic, Lana, Oeztuerk, Oemer Faruk, Dong, Mark S., Paul, Riya, Paolini, Marco, Hedderich, Dennis, Haidl, Theresa, Kambeitz, Joseph, Ruhrmann, Stephan, Chisholm, Katharine, Schultze-lutter, Frauke, Falkai, Peter, Pergola, Giulio, Blasi, Giuseppe, Bertolino, Alessandro, Lencer, Rebekka, Dannlowski, Udo, Upthegrove, Rachel, Salokangas, Raimo K.r., Pantelis, Christos, Meisenzahl, Eva, Wood, Stephen J., Brambilla, Paolo, Borgwardt, Stefan, and Koutsouleris, Nikolaos

Abstract

Background: Childhood trauma (CT) is a major yet elusive psychiatric risk factor, whose multidimensional conceptualization and heterogeneous effects on brain morphology might demand advanced mathematical modeling. Therefore, we present an unsupervised machine learning approach to characterize the clinical and neuroanatomical complexity of CT in a larger, transdiagnostic context. Methods: We used a multicenter European cohort of 1076 female and male individuals (discovery: n = 649; replication: n = 427) comprising young, minimally medicated patients with clinical high-risk states for psychosis; patients with recent-onset depression or psychosis; and healthy volunteers. We employed multivariate sparse partial least squares analysis to detect parsimonious associations between combinations of items from the Childhood Trauma Questionnaire and gray matter volume and tested their generalizability via nested cross-validation as well as via external validation. We investigated the associations of these CT signatures with state (functioning, depressivity, quality of life), trait (personality), and sociodemographic levels. Results: We discovered signatures of age-dependent sexual abuse and sex-dependent physical and sexual abuse, as well as emotional trauma, which projected onto gray matter volume patterns in prefronto-cerebellar, limbic, and sensory networks. These signatures were associated with predominantly impaired clinical state- and trait-level phenotypes, while pointing toward an interaction between sexual abuse, age, urbanicity, and education. We validated the clinical profiles for all three CT signatures in the replication sample. Conclusions: Our results suggest distinct multilayered associations between partially age- and sex-dependent patterns of CT, distributed neuroanatomical networks, and clinical profiles. Hence, our study highlights how machine learning approaches can shape future, more fine-grained CT research.

Published
2020

39. Three Distinct Neuroanatomical Subtypes of Autism Spectrum Disorder, Revealed via Machine Learning, and Their Similarities With Schizophrenia Subtypes

Author

Hwang, Gyujoon, primary, Brodkin, Edward S., additional, Chand, Ganesh B., additional, Dwyer, Dominic B., additional, Wen, Junhao, additional, Erus, Guray, additional, Doshi, Jimit, additional, Srinivasan, Dhivya, additional, Varol, Erdem, additional, Sotiras, Aristeidis, additional, Dazzan, Paola, additional, Kahn, Rene S., additional, Schnack, Hugo G., additional, Zanetti, Marcus V., additional, Meisenzahl, Eva, additional, Busatto, Geraldo F., additional, Crespo-Facorro, Benedicto, additional, Pantelis, Christos, additional, Wood, Stephen J., additional, Zhuo, Chuanjun, additional, Shinohara, Russell T., additional, Shou, Haochang, additional, Fan, Yong, additional, Koutsouleris, Nikolaos, additional, Gur, Raquel E., additional, Gur, Ruben C., additional, Satterthwaite, Theodore D., additional, Wolf, Daniel H., additional, and Davatzikos, Christos, additional

Published
2021
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40. Heterogeneity and Classification of Recent Onset Psychosis and Depression: A Multimodal Machine Learning Approach

Author

Lalousis, Paris Alexandros, primary, Wood, Stephen J., additional, Schmaal, Lianne, additional, Chisholm, Katharine, additional, Griffiths, Sian, additional, Reniers, Renate, additional, Bertolino, Alessandro, additional, Borgwardt, Stefan, additional, Brambilla, Paolo, additional, Kambeitz, Joseph, additional, Lencer, Rebekka, additional, Pantelis, Christos, additional, Ruhrmann, Stephan, additional, Salokangas, Raimo K.R., additional, Schultze-Lutter, Frauke, additional, Bonivento, Carolina, additional, Dwyer, Dominic B., additional, Ferro, Adele, additional, Haidl, Theresa, additional, Rosen, Marlene, additional, Schmidt, Andre, additional, Meisenzahl, Eva, additional, Koutsouleris, Nikolaos, additional, and Upthegrove, Rachel, additional

Published
2021
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41. An Investigation of Psychosis Subgroups With Prognostic Validation and Exploration of Genetic Underpinnings

Author

Dwyer, Dominic B., Kalman, Janos L., Gade, Katrin, Reich-Erkelenz, Daniela, Adorjan, Kristina, Senner, Fanny, Schaupp, Sabrina, Andlauer, Till F. M., Comes, Ashley L., Schulte, Eva C., Klöhn-Saghatolislam, Farah, Gryaznova, Anna, Budde, Monika, Hake, Maria, Bartholdi, Kim, Flatau-Nagel, Laura, Reitt, Markus, Quast, Silke, Stegmaier, Sophia, Meyers, Milena, Emons, Barbara, Haußleiter, Ida Sybille, Juckel, Georg, Kambeitz, Joseph, Nieratschker, Vanessa, Dannlowski, Udo, Yoshida, Tomoya, Schmauß, Max, Zimmermann, Jörg, Reimer, Jens, Wiltfang, Jens, Reininghaus, Eva, Anghelescu, Ion-George, Arolt, Volker, Ruef, Anne, Baune, Bernhard T., Konrad, Carsten, Thiel, Andreas, Fallgatter, Andreas J., Figge, Christian, von Hagen, Martin, Koller, Manfred, Lang, Fabian U., Wigand, Moritz E., Becker, Thomas, Antonucci, Linda A., Jäger, Markus, Dietrich, Detlef E., Scherk, Harald, Spitzer, Carsten, Folkerts, Here, Witt, Stephanie H., Degenhardt, Franziska, Forstner, Andreas J., Rietschel, Marcella, Nöthen, Markus M., Kambeitz-Ilankovic, Lana, Mueller, Nikola, Papiol, Sergi, Heilbronner, Urs, Falkai, Peter, Schulze, Thomas G., Koutsouleris, Nikolaos, Hasan, Alkomiet, Kondofersky, Ivan, and Anderson-Schmidt, Heike

Subjects
Adult, Male, psychology [Psychotic Disorders], genetics [Depressive Disorder, Major], Reproducibility of Results, genetics [Psychotic Disorders], Middle Aged, Prognosis, classification [Psychotic Disorders], Educational Status, Humans, diagnosis [Psychotic Disorders], Female, genetics [Schizophrenia], ddc:610, Longitudinal Studies, genetics [Genetic Predisposition to Disease], genetics [Multifactorial Inheritance], genetics [Bipolar Disorder]
Abstract

Importance Identifying psychosis subgroups could improve clinical and research precision. Research has focused on symptom subgroups, but there is a need to consider a broader clinical spectrum, disentangle illness trajectories, and investigate genetic associations.Objective To detect psychosis subgroups using data-driven methods and examine their illness courses over 1.5 years and polygenic scores for schizophrenia, bipolar disorder, major depression disorder, and educational achievement.Design, Setting, and Participants This ongoing multisite, naturalistic, longitudinal (6-month intervals) cohort study began in January 2012 across 18 sites. Data from a referred sample of 1223 individuals (765 in the discovery sample and 458 in the validation sample) with DSM-IV diagnoses of schizophrenia, bipolar affective disorder (I/II), schizoaffective disorder, schizophreniform disorder, and brief psychotic disorder were collected from secondary and tertiary care sites. Discovery data were extracted in September 2016 and analyzed from November 2016 to January 2018, and prospective validation data were extracted in October 2018 and analyzed from January to May 2019.Main Outcomes and Measures A clinical battery of 188 variables measuring demographic characteristics, clinical history, symptoms, functioning, and cognition was decomposed using nonnegative matrix factorization clustering. Subtype-specific illness courses were compared with mixed models and polygenic scores with analysis of covariance. Supervised learning was used to replicate results in validation data with the most reliably discriminative 45 variables.Results Of the 765 individuals in the discovery sample, 341 (44.6%) were women, and the mean (SD) age was 42.7 (12.9) years. Five subgroups were found and labeled as affective psychosis (n = 252), suicidal psychosis (n = 44), depressive psychosis (n = 131), high-functioning psychosis (n = 252), and severe psychosis (n = 86). Illness courses with significant quadratic interaction terms were found for psychosis symptoms (R2 = 0.41; 95% CI, 0.38-0.44), depression symptoms (R2 = 0.28; 95% CI, 0.25-0.32), global functioning (R2 = 0.16; 95% CI, 0.14-0.20), and quality of life (R2 = 0.20; 95% CI, 0.17-0.23). The depressive and severe psychosis subgroups exhibited the lowest functioning and quadratic illness courses with partial recovery followed by reoccurrence of severe illness. Differences were found for educational attainment polygenic scores (mean [SD] partial η2 = 0.014 [0.003]) but not for diagnostic polygenic risk. Results were largely replicated in the validation cohort.Conclusions and Relevance Psychosis subgroups were detected with distinctive clinical signatures and illness courses and specificity for a nondiagnostic genetic marker. New data-driven clinical approaches are important for future psychosis taxonomies. The findings suggest a need to consider short-term to medium-term service provision to restore functioning in patients stratified into the depressive and severe psychosis subgroups.

Published
2020
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42. NEUROBIOLOGICAL FINGERPRINTS OF COGNITIVE SUBTYPES IN RECENT ONSET PSYCHOSIS PATIENTS

Author

Wenzel, Julian, Dwyer, Dominic B., Ruef, Anne, Ozturk, Omer, Haas, Shalaila, Kambeitz, Joseph, Brambilla, Paolo, Koutsouleris, Nikolaos, Kambeitz-Ilankovic, Lana, Wenzel, Julian, Dwyer, Dominic B., Ruef, Anne, Ozturk, Omer, Haas, Shalaila, Kambeitz, Joseph, Brambilla, Paolo, Koutsouleris, Nikolaos, and Kambeitz-Ilankovic, Lana

Published
2020

43. SIGNS OF ADVERSITY - A NOVEL MACHINE LEARNING APPROACH TO CHILDHOOD TRAUMA, BRAIN STRUCTURE AND CLINICAL PROFILES

Author

Popovic, David, Ruef, Anne, Dwyer, Dominic B., Hedderich, Dennis, Antonucci, Linda A., Kambeitz-Ilankovic, Lana, Oeztuerk, Oemer F., Dong, Mark S., Paul, Riya, Kambeitz, Joseph, Ruhrmann, Stephan, Chisholm, Katharine, Schultze-Lutter, Frauke, Falkai, Peter, Bertolino, Alessandro, Lencer, Rebekka, Dannlowski, Udo, Upthegrove, Rachel, Salokangas, Raimo K. R., Pantelis, Christos, Meisenzahl, Eva, Wood, Stephen, Brambilla, Paolo, Borgwardt, Stefan, Koutsouleris, Nikolaos, Popovic, David, Ruef, Anne, Dwyer, Dominic B., Hedderich, Dennis, Antonucci, Linda A., Kambeitz-Ilankovic, Lana, Oeztuerk, Oemer F., Dong, Mark S., Paul, Riya, Kambeitz, Joseph, Ruhrmann, Stephan, Chisholm, Katharine, Schultze-Lutter, Frauke, Falkai, Peter, Bertolino, Alessandro, Lencer, Rebekka, Dannlowski, Udo, Upthegrove, Rachel, Salokangas, Raimo K. R., Pantelis, Christos, Meisenzahl, Eva, Wood, Stephen, Brambilla, Paolo, Borgwardt, Stefan, and Koutsouleris, Nikolaos

Published
2020

44. ASSOCIATION BETWEEN CLUSTERS OF FORMAL THOUGHT DISORDERS SEVERITY AND NEUROCOGNITIVE AND FUNCTIONAL OUTCOME INDICES IN THE EARLY STAGES OF PSYCHOSIS - RESULTS FROM THE PRONIA COHORT

Author

Ozturk, Omer Faruk, Pigoni, Alessandro, Wenzel, Julian, Haas, Shalaila, Popovic, David, Ruef, Anne, Dwyer, Dominic B., Kambeitz-Ilankovic, Lana, Haidl, Theresa, Rosen, Marlene, Kambeitz, Joseph, Ruhrmann, Stephan, Chisholm, Katharine, Schultze-Lutter, Frauke, Liddle, Peter F., Upthegrove, Rachel, Salokangas, Raimo K. R., Pantelis, Christos, Meisenzahl, Eva, Wood, Stephen J., Brambilla, Paolo, Borgwardt, Stefan, Falkai, Peter, Antonucci, Linda A., Koutsouleris, Nikolaos, Ozturk, Omer Faruk, Pigoni, Alessandro, Wenzel, Julian, Haas, Shalaila, Popovic, David, Ruef, Anne, Dwyer, Dominic B., Kambeitz-Ilankovic, Lana, Haidl, Theresa, Rosen, Marlene, Kambeitz, Joseph, Ruhrmann, Stephan, Chisholm, Katharine, Schultze-Lutter, Frauke, Liddle, Peter F., Upthegrove, Rachel, Salokangas, Raimo K. R., Pantelis, Christos, Meisenzahl, Eva, Wood, Stephen J., Brambilla, Paolo, Borgwardt, Stefan, Falkai, Peter, Antonucci, Linda A., and Koutsouleris, Nikolaos

Published
2020

45. An Investigation of Psychosis Subgroups With Prognostic Validation and Exploration of Genetic Underpinnings The PsyCourse Study

Author

Dwyer, Dominic B., Kalman, Janos L., Budde, Monika, Kambeitz, Joseph, Ruef, Anne, Antonucci, Linda A., Kambeitz-Ilankovic, Lana, Hasan, Alkomiet, Kondofersky, Ivan, Anderson-Schmidt, Heike, Gade, Katrin, Reich-Erkelenz, Daniela, Adorjan, Kristina, Senner, Fanny, Schaupp, Sabrina, Andlauer, Till F. M., Comes, Ashley L., Schulte, Eva C., Kloehn-Saghatolislam, Farah, Gryaznova, Anna, Hake, Maria, Bartholdi, Kim, Flatau-Nagel, Laura, Reitt, Markus, Quast, Silke, Stegmaier, Sophia, Meyers, Milena, Emons, Barbara, Haussleiter, Ida Sybille, Juckel, Georg, Nieratschker, Vanessa, Dannlowski, Udo, Yoshida, Tomoya, Schmauss, Max, Zimmermann, Joerg, Reimer, Jens, Wiltfang, Jens, Reininghaus, Eva, Anghelescu, Ion-George, Arolt, Volker, Baune, Bernhard T., Konrad, Carsten, Thiel, Andreas, Fallgatter, Andreas J., Figge, Christian, von Hagen, Martin, Koller, Manfred, Lang, Fabian U., Wigand, Moritz E., Becker, Thomas, Jaeger, Markus, Dietrich, Detlef E., Scherk, Harald, Spitzer, Carsten, Folkerts, Here, Witt, Stephanie H., Degenhardt, Franziska, Forstner, Andreas J., Rietschel, Marcella, Noethen, Markus M., Mueller, Nikola, Papiol, Sergi, Heilbronner, Urs, Falkai, Peter, Schulze, Thomas G., Koutsouleris, Nikolaos, Dwyer, Dominic B., Kalman, Janos L., Budde, Monika, Kambeitz, Joseph, Ruef, Anne, Antonucci, Linda A., Kambeitz-Ilankovic, Lana, Hasan, Alkomiet, Kondofersky, Ivan, Anderson-Schmidt, Heike, Gade, Katrin, Reich-Erkelenz, Daniela, Adorjan, Kristina, Senner, Fanny, Schaupp, Sabrina, Andlauer, Till F. M., Comes, Ashley L., Schulte, Eva C., Kloehn-Saghatolislam, Farah, Gryaznova, Anna, Hake, Maria, Bartholdi, Kim, Flatau-Nagel, Laura, Reitt, Markus, Quast, Silke, Stegmaier, Sophia, Meyers, Milena, Emons, Barbara, Haussleiter, Ida Sybille, Juckel, Georg, Nieratschker, Vanessa, Dannlowski, Udo, Yoshida, Tomoya, Schmauss, Max, Zimmermann, Joerg, Reimer, Jens, Wiltfang, Jens, Reininghaus, Eva, Anghelescu, Ion-George, Arolt, Volker, Baune, Bernhard T., Konrad, Carsten, Thiel, Andreas, Fallgatter, Andreas J., Figge, Christian, von Hagen, Martin, Koller, Manfred, Lang, Fabian U., Wigand, Moritz E., Becker, Thomas, Jaeger, Markus, Dietrich, Detlef E., Scherk, Harald, Spitzer, Carsten, Folkerts, Here, Witt, Stephanie H., Degenhardt, Franziska, Forstner, Andreas J., Rietschel, Marcella, Noethen, Markus M., Mueller, Nikola, Papiol, Sergi, Heilbronner, Urs, Falkai, Peter, Schulze, Thomas G., and Koutsouleris, Nikolaos

Abstract

This cohort study aims to detect psychosis subgroups and examine their illness courses over 1.5 years and their polygenic scores for schizophrenia, bipolar disorder, major depression disorder, and educational achievement. Question Will data-driven clustering using high-dimensional clinical data reveal psychosis subgroups with relevance to prognoses and polygenic risk? Findings In this cohort study including 1223 individuals, in the discovery sample of 765 individuals with predominantly bipolar and schizophrenia diagnoses, 5 subgroups were detected with different clinical signatures, illness trajectories, and genetic scores for educational attainment. Results were validated in a sample of 458 individuals. Meaning New data-driven clustering paired with rigorous validation may offer a means to extend symptom-based psychosis taxonomies toward functional outcomes, genetic markers, and trajectory-based stratifications. Importance Identifying psychosis subgroups could improve clinical and research precision. Research has focused on symptom subgroups, but there is a need to consider a broader clinical spectrum, disentangle illness trajectories, and investigate genetic associations. Objective To detect psychosis subgroups using data-driven methods and examine their illness courses over 1.5 years and polygenic scores for schizophrenia, bipolar disorder, major depression disorder, and educational achievement. Design, Setting, and Participants This ongoing multisite, naturalistic, longitudinal (6-month intervals) cohort study began in January 2012 across 18 sites. Data from a referred sample of 1223 individuals (765 in the discovery sample and 458 in the validation sample) with DSM-IV diagnoses of schizophrenia, bipolar affective disorder (I/II), schizoaffective disorder, schizophreniform disorder, and brief psychotic disorder were collected from secondary and tertiary care sites. Discovery data were extracted in September 2016 and analyzed from November 2016 to January 2018, a

Published
2020

46. Two distinc neuroanatomica subtypes of schizophrenia revealed using machine learning

Author

Onderzoeksgroep 11, Brain, Onderzoeksgroep 1, Chand, Ganesh B., Dwyer, Dominic B., Erus, Guray, Sotiras, Aristeidis, Varol, Erdem, Srinivasan, Dhivya, Doshi, Jimit, Pomponio, Raymond, Pigoni, Alessandro, Dazzan, Paola, Kahn, Rene S., Schnack, Hugo G., Zanetti, Marcus V., Meisenzahl, Eva, Busatto, Geraldo F., Crespo-Facorro, Benedicto, Pantelis, Christos, Wood, Stephen J., Zhuo, Chuanjun, Shinohara, Russell T., Shou, Haochang, Fan, Yong, Gur, Ruben C., Gur, Raquel E., Satterthwaite, Theodore D., Koutsouleris, Nikolaos, Wolf, Daniel H., Davatzikos, Christos, Onderzoeksgroep 11, Brain, Onderzoeksgroep 1, Chand, Ganesh B., Dwyer, Dominic B., Erus, Guray, Sotiras, Aristeidis, Varol, Erdem, Srinivasan, Dhivya, Doshi, Jimit, Pomponio, Raymond, Pigoni, Alessandro, Dazzan, Paola, Kahn, Rene S., Schnack, Hugo G., Zanetti, Marcus V., Meisenzahl, Eva, Busatto, Geraldo F., Crespo-Facorro, Benedicto, Pantelis, Christos, Wood, Stephen J., Zhuo, Chuanjun, Shinohara, Russell T., Shou, Haochang, Fan, Yong, Gur, Ruben C., Gur, Raquel E., Satterthwaite, Theodore D., Koutsouleris, Nikolaos, Wolf, Daniel H., and Davatzikos, Christos

Published
2020

47. Traces of Trauma: A Multivariate Pattern Analysis of Childhood Trauma, Brain Structure, and Clinical Phenotypes

Author

Popovic, David, primary, Ruef, Anne, additional, Dwyer, Dominic B., additional, Antonucci, Linda A., additional, Eder, Julia, additional, Sanfelici, Rachele, additional, Kambeitz-Ilankovic, Lana, additional, Oztuerk, Omer Faruk, additional, Dong, Mark S., additional, Paul, Riya, additional, Paolini, Marco, additional, Hedderich, Dennis, additional, Haidl, Theresa, additional, Kambeitz, Joseph, additional, Ruhrmann, Stephan, additional, Chisholm, Katharine, additional, Schultze-Lutter, Frauke, additional, Falkai, Peter, additional, Pergola, Giulio, additional, Blasi, Giuseppe, additional, Bertolino, Alessandro, additional, Lencer, Rebekka, additional, Dannlowski, Udo, additional, Upthegrove, Rachel, additional, Salokangas, Raimo K.R., additional, Pantelis, Christos, additional, Meisenzahl, Eva, additional, Wood, Stephen J., additional, Brambilla, Paolo, additional, Borgwardt, Stefan, additional, Koutsouleris, Nikolaos, additional, Dong, Mark Sen, additional, Erkens, Anne, additional, Gussmann, Eva, additional, Haas, Shalaila, additional, Hasan, Alkomiet, additional, Hoff, Claudius, additional, Khanyaree, Ifrah, additional, Melo, Aylin, additional, Muckenhuber-Sternbauer, Susanna, additional, Köhler, Janis, additional, Öztürk, Ömer Faruk, additional, Penzel, Nora, additional, Rangnick, Adrian, additional, von Saldern, Sebastian, additional, Spangemacher, Moritz, additional, Tupac, Ana, additional, Urquijo, Maria Fernanda, additional, Weiske, Johanna, additional, Wenzel, Julian, additional, Wosgien, Antonia, additional, Betz, Linda, additional, Blume, Karsten, additional, Seves, Mauro, additional, Kaiser, Nathalie, additional, Lichtenstein, Thorsten, additional, Woopen, Christiane, additional, Andreou, Christina, additional, Egloff, Laura, additional, Harrisberger, Fabienne, additional, Lenz, Claudia, additional, Leanza, Letizia, additional, Mackintosh, Amatya, additional, Smieskova, Renata, additional, Studerus, Erich, additional, Walter, Anna, additional, Widmayer, Sonja, additional, Day, Chris, additional, Griffiths, Sian Lowri, additional, Iqbal, Mariam, additional, Pelton, Mirabel, additional, Mallikarjun, Pavan, additional, Stainton, Alexandra, additional, Lin, Ashleigh, additional, Denissoff, Alexander, additional, Ellilä, Anu, additional, From, Tiina, additional, Heinimaa, Markus, additional, Ilonen, Tuula, additional, Jalo, Päivi, additional, Laurikainen, Heikki, additional, Lehtinen, Maarit, additional, Luutonen, Antti, additional, Mäkela, Akseli, additional, Paju, Janina, additional, Pesonen, Henri, additional, Armio (Säilä, Reetta-Liina, additional, Sormunen, Elina, additional, Toivonen, Anna, additional, Turtonen, Otto, additional, Solana, Ana Beatriz, additional, Abraham, Manuela, additional, Hehn, Nicolas, additional, Schirmer, Timo, additional, Altamura, Carlo, additional, Belleri, Marika, additional, Bottinelli, Francesca, additional, Ferro, Adele, additional, Re, Marta, additional, Monzani, Emiliano, additional, Percudani, Mauro, additional, Sberna, Maurizio, additional, D’Agostino, Armando, additional, Del Fabro, Lorenzo, additional, Perna, Giampaolo, additional, Nobile, Maria, additional, Alciati, Alessandra, additional, Balestrieri, Matteo, additional, Bonivento, Carolina, additional, Cabras, Giuseppe, additional, Fabbro, Franco, additional, Garzitto, Marco, additional, and Piccin, Sara, additional

Published
2020
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49. Neuroanatomical Dimensional Phenotypes of Schizophrenia: Expression in Youth With Psychosis-Spectrum Symptoms and Correlation With Cognition

Author

Chand, Ganesh, primary, Wolf, Daniel H., additional, Erus, Guray, additional, Srinivasan, Dhivya, additional, Dwyer, Dominic B., additional, Pomponio, Raymond, additional, Sotiras, Aristeidis, additional, Varol, Erdem, additional, Doshi, Jimit, additional, Pigoni, Alessandro, additional, Dazzan, Paola, additional, Kahn, Rene S., additional, Schnack, Hugo G., additional, Zanetti, Marcus V., additional, Meisenzahl, Eva, additional, Busatto, Geraldo F., additional, Crespo-Facorro, Benedicto, additional, Pantelis, Christos, additional, Wood, Stephen J., additional, Zhuo, Chuanjun, additional, Shinohara, Russell T., additional, Shou, Haochang, additional, Fan, Yong, additional, Koutsouleris, Nikolaos, additional, Moore, Tyler M., additional, Gur, Raquel E., additional, Gur, Ruben C., additional, Satterthwaite, Theodore D., additional, and Davatzikos, Christos, additional

Published
2020
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50. An Investigation of Psychosis Subgroups With Prognostic Validation and Exploration of Genetic Underpinnings

Author

Dwyer, Dominic B., primary, Kalman, Janos L., additional, Budde, Monika, additional, Kambeitz, Joseph, additional, Ruef, Anne, additional, Antonucci, Linda A., additional, Kambeitz-Ilankovic, Lana, additional, Hasan, Alkomiet, additional, Kondofersky, Ivan, additional, Anderson-Schmidt, Heike, additional, Gade, Katrin, additional, Reich-Erkelenz, Daniela, additional, Adorjan, Kristina, additional, Senner, Fanny, additional, Schaupp, Sabrina, additional, Andlauer, Till F. M., additional, Comes, Ashley L., additional, Schulte, Eva C., additional, Klöhn-Saghatolislam, Farah, additional, Gryaznova, Anna, additional, Hake, Maria, additional, Bartholdi, Kim, additional, Flatau-Nagel, Laura, additional, Reitt, Markus, additional, Quast, Silke, additional, Stegmaier, Sophia, additional, Meyers, Milena, additional, Emons, Barbara, additional, Haußleiter, Ida Sybille, additional, Juckel, Georg, additional, Nieratschker, Vanessa, additional, Dannlowski, Udo, additional, Yoshida, Tomoya, additional, Schmauß, Max, additional, Zimmermann, Jörg, additional, Reimer, Jens, additional, Wiltfang, Jens, additional, Reininghaus, Eva, additional, Anghelescu, Ion-George, additional, Arolt, Volker, additional, Baune, Bernhard T., additional, Konrad, Carsten, additional, Thiel, Andreas, additional, Fallgatter, Andreas J., additional, Figge, Christian, additional, von Hagen, Martin, additional, Koller, Manfred, additional, Lang, Fabian U., additional, Wigand, Moritz E., additional, Becker, Thomas, additional, Jäger, Markus, additional, Dietrich, Detlef E., additional, Scherk, Harald, additional, Spitzer, Carsten, additional, Folkerts, Here, additional, Witt, Stephanie H., additional, Degenhardt, Franziska, additional, Forstner, Andreas J., additional, Rietschel, Marcella, additional, Nöthen, Markus M., additional, Mueller, Nikola, additional, Papiol, Sergi, additional, Heilbronner, Urs, additional, Falkai, Peter, additional, Schulze, Thomas G., additional, and Koutsouleris, Nikolaos, additional

Published
2020
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