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1,168 results on '"Schultze-Lutter, Frauke"'

1. 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. Anhedonia as a Potential Transdiagnostic Phenotype With Immune-Related Changes in Recent-Onset Mental Health Disorders

Author

Lalousis, Paris Alexandros, Malaviya, Aanya, Khatibi, Ali, Saberi, Majid, Kambeitz-Ilankovic, Lana, Haas, Shalaila S., Wood, Stephen J., Barnes, Nicholas M., Rogers, Jack, Chisholm, Katharine, Bertolino, Alessandro, Borgwardt, Stefan, Brambilla, Paolo, Kambeitz, Joseph, Lencer, Rebekka, Pantelis, Christos, Ruhrmann, Stephan, Salokangas, Raimo K.R., Schultze-Lutter, Frauke, Schmidt, Andre, Meisenzahl, Eva, Dwyer, Dominic, Koutsouleris, Nikolaos, Upthegrove, Rachel, and Griffiths, Siân Lowri

Published
2024
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4. 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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6. Clinical high risk state of major depressive episodes: Assessment of prodromal phase, its occurrence, duration and symptom patterns by the instrument the DEpression Early Prediction-INventory (DEEP-IN)

Author

Meisenzahl, Eva, Wege, Natalia, Stegmüller, Veronika, Schulte-Körne, Gerd, Greimel, Ellen, Dannlowski, Udo, Hahn, Tim, Romer, Georg, Romanos, Marcel, Deserno, Lorenz, Klingele, Cosima, Theisen, Christian, Kieckhäfer, Carolin, Forstner, Andreas, Ruhrmann, Stefan, and Schultze-Lutter, Frauke

Published
2024
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8. 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

11. 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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12. 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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14. Neurobiologically Based Stratification of Recent-Onset Depression and Psychosis: Identification of Two Distinct Transdiagnostic Phenotypes

Author

Lalousis, Paris Alexandros, Schmaal, Lianne, Wood, Stephen J., Reniers, Renate L.E.P., Barnes, Nicholas M., Chisholm, Katharine, Griffiths, Sian Lowri, Stainton, Alexandra, Wen, Junhao, Hwang, Gyujoon, Davatzikos, Christos, Wenzel, Julian, Kambeitz-Ilankovic, Lana, Andreou, Christina, Bonivento, Carolina, Dannlowski, Udo, Ferro, Adele, Lichtenstein, Theresa, Riecher-Rössler, Anita, Romer, Georg, Rosen, Marlene, Bertolino, Alessandro, Borgwardt, Stefan, Brambilla, Paolo, Kambeitz, Joseph, Lencer, Rebekka, Pantelis, Christos, Ruhrmann, Stephan, Salokangas, Raimo K.R., Schultze-Lutter, Frauke, Schmidt, André, Meisenzahl, Eva, Koutsouleris, Nikolaos, Dwyer, Dominic, and Upthegrove, Rachel

Published
2022
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16. 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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19. Pattern of predictive features of continued cannabis use in patients with recent-onset psychosis and clinical high-risk for psychosis

Author

Penzel, Nora, Sanfelici, Rachele, Antonucci, Linda A., Betz, Linda T., Dwyer, Dominic, Ruef, Anne, Cho, Kang Ik K., Cumming, Paul, Pogarell, Oliver, Howes, Oliver, Falkai, Peter, Upthegrove, Rachel, Borgwardt, Stefan, Brambilla, Paolo, Lencer, Rebekka, Meisenzahl, Eva, Schultze-Lutter, Frauke, Rosen, Marlene, Lichtenstein, Theresa, Kambeitz-Ilankovic, Lana, Ruhrmann, Stephan, Salokangas, Raimo K. R., Pantelis, Christos, Wood, Stephen J., Quednow, Boris B., Pergola, Giulio, Bertolino, Alessandro, Koutsouleris, Nikolaos, and Kambeitz, Joseph

Published
2022
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21. Stressors during the prodromal phase of major depressive episode (CHR-D).

Author

Meisenzahl, Eva, Schultze-Lutter, Frauke, Stegmüller, Veronika, Schulte-Körne, Gerd, Greimel, Ellen, Klingele, Cosima, Dannlowski, Udo, Hahn, Tim, Romer, Georg, Romanos, Marcel, Deserno, Lorenz, Theisen, Christian, Kujovic, Milenko, Ruhrmann, Stefan, Forstner, Andreas J., and Wege, Natalia

Subjects
INTERPERSONAL conflict, PATIENTS' attitudes, MENTAL depression, FAMILY relations, PATIENT surveys
Abstract

Introduction: Early recognition and indicated prevention is a promising approach to decrease the incidence of Major depressive episodes (MDE), targeting the patients during their clinical high-risk state of MDE (CHR-D). The identification of a set of stressors at the CHR-D increases the success of indicated prevention with personalized early interventions. The study evaluated stressors in the early phase of depression, developed on the basis of a patient survey on stressors. Methods: Sixty-eight inpatients (ICD10: F3x.xx) with a reported high risk state for major depressive episode (CHR-D) were included in the current study. Stressors during CHR-D were retrospectively explored using a semi-structured clinical interview supplemented by open-ended questions. A qualitative explorative content analysis was provided to identify a pattern of stressors during the prodromal phase of the patients, based on the patient's perspective. A frequency analysis was performed for the evaluation of the prevalence of reported source of stress. Results: All patients reported stressors in the prodromal phase of depression. Results demonstrates that patients with depressive disorder typically report multiple stressors, with the most common number being four. First, 18 stressors-groups were identified during coding. Interpersonal conflicts and disappointments in close relationships were most frequently reported stressors during the prodromal phase at 44.1%. The second most frequent stressor mentioned was the high qualitative or quantitative demands at work (38.2%). The third frequent source of stress was changes in close relationships and in family relationships (33.8%). Based on the categories of stressors described in the patient survey during the prodromal phase we suggested a model of stressors in CHR-D during the prodromal phase of the MDE. Discussion: The identification of a set of stressors at the early stage of MDE may increase opportunities for early intervention. In everyday clinical practice, preventive psychiatry needs clinical and adapted instruments for recording stressors in today's society. This knowledge is necessary in order to develop precisely indicated prevention for depressive disorders. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Minderjährige in klinischen Prüfungen: Ethische Abwägungen ihres Einbezugs am Beispiel der indizierten Prävention psychotischer Erkrankungen.

Author

Schultze-Lutter, Frauke, Banaschewski, Tobias, Barth, Gottfried M., Bechdolf, Andreas, Bender, Stephan, Flechtner, Hans-Henning, Hackler, Sandra, Heuer, Fabiola, Hohmann, Sarah, Holzner, Laura, Huss, Michael, Koutsouleris, Nikolaos, Lipp, Michael, Mandl, Selina, Meisenzahl, Eva, Munz, Manuel, Osman, Naweed, Peschl, Jens, Reissner, Volker, and Renner, Tobias

Published
2024
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24. Enhancing Psychosis-Spectrum Nosology Through an International Data Sharing Initiative.

Author

Docherty, Anna R, Fonseca-Pedrero, Eduardo, Debbané, Martin, Chan, Raymond CK, Linscott, Richard J, Jonas, Katherine G, Cicero, David C, Green, Melissa J, Simms, Leonard J, Mason, Oliver, Watson, David, Ettinger, Ulrich, Waszczuk, Monika, Rapp, Alexander, Grant, Phillip, Kotov, Roman, DeYoung, Colin G, Ruggero, Camilo J, Eaton, Nicolas R, Krueger, Robert F, Patrick, Christopher, Hopwood, Christopher, O’Neill, F Anthony, Zald, David H, Conway, Christopher C, Adkins, Daniel E, Waldman, Irwin D, van Os, Jim, Sullivan, Patrick F, Anderson, John S, Shabalin, Andrey A, Sponheim, Scott R, Taylor, Stephan F, Grazioplene, Rachel G, Bacanu, Silviu A, Bigdeli, Tim B, Haenschel, Corinna, Malaspina, Dolores, Gooding, Diane C, Nicodemus, Kristin, Schultze-Lutter, Frauke, Barrantes-Vidal, Neus, Mohr, Christine, Carpenter, William T, and Cohen, Alex S

Subjects
Brain Disorders, Human Genome, Genetics, Mental Health, Good Health and Well Being, Datasets as Topic, Humans, Information Dissemination, Intersectoral Collaboration, Models, Theoretical, Psychotic Disorders, Schizophrenia, Schizotypal Personality Disorder, data sharing, schizotypy, schizotypal, psychos is, schizophrenia, phenotype, genetic, ICSR, HiTOP, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

The latent structure of schizotypy and psychosis-spectrum symptoms remains poorly understood. Furthermore, molecular genetic substrates are poorly defined, largely due to the substantial resources required to collect rich phenotypic data across diverse populations. Sample sizes of phenotypic studies are often insufficient for advanced structural equation modeling approaches. In the last 50 years, efforts in both psychiatry and psychological science have moved toward (1) a dimensional model of psychopathology (eg, the current Hierarchical Taxonomy of Psychopathology [HiTOP] initiative), (2) an integration of methods and measures across traits and units of analysis (eg, the RDoC initiative), and (3) powerful, impactful study designs maximizing sample size to detect subtle genomic variation relating to complex traits (the Psychiatric Genomics Consortium [PGC]). These movements are important to the future study of the psychosis spectrum, and to resolving heterogeneity with respect to instrument and population. The International Consortium of Schizotypy Research is composed of over 40 laboratories in 12 countries, and to date, members have compiled a body of schizotypy- and psychosis-related phenotype data from more than 30000 individuals. It has become apparent that compiling data into a protected, relational database and crowdsourcing analytic and data science expertise will result in significant enhancement of current research on the structure and biological substrates of the psychosis spectrum. The authors present a data-sharing infrastructure similar to that of the PGC, and a resource-sharing infrastructure similar to that of HiTOP. This report details the rationale and benefits of the phenotypic data collective and presents an open invitation for participation.

Published
2018

25. Towards clinical application of prediction models for transition to psychosis: A systematic review and external validation study in the PRONIA sample

Author

Rosen, Marlene, Betz, Linda T., Schultze-Lutter, Frauke, Chisholm, Katharine, Haidl, Theresa K., Kambeitz-Ilankovic, Lana, Bertolino, Alessandro, Borgwardt, Stefan, Brambilla, Paolo, Lencer, Rebekka, Meisenzahl, Eva, Ruhrmann, Stephan, Salokangas, Raimo K.R., Upthegrove, Rachel, Wood, Stephen J., Koutsouleris, Nikolaos, and Kambeitz, Joseph

Published
2021
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29. Evidence from comprehensive independent validation studies for smooth pursuit dysfunction as a sensorimotor biomarker for psychosis.

Author

Meyhoefer, Inga, Sprenger, Andreas, Derad, David, Grotegerd, Dominik, Leenings, Ramona, Leehr, Elisabeth J., Breuer, Fabian, Surmann, Marian, Rolfes, Karen, Arolt, Volker, Romer, Georg, Lappe, Markus, Rehder, Johanna, Koutsouleris, Nikolaos, Borgwardt, Stefan, Schultze-Lutter, Frauke, Meisenzahl, Eva, Kircher, Tilo T. J., Keedy, Sarah S., and Bishop, Jeffrey R.

Subjects
EYE movements, PSYCHOSES, AFFECTIVE disorders, BIPOLAR disorder, MULTIVARIATE analysis, PREDICTION models
Abstract

Smooth pursuit eye movements are considered a well-established and quantifiable biomarker of sensorimotor function in psychosis research. Identifying psychotic syndromes on an individual level based on neurobiological markers is limited by heterogeneity and requires comprehensive external validation to avoid overestimation of prediction models. Here, we studied quantifiable sensorimotor measures derived from smooth pursuit eye movements in a large sample of psychosis probands (N = 674) and healthy controls (N = 305) using multivariate pattern analysis. Balanced accuracies of 64% for the prediction of psychosis status are in line with recent results from other large heterogenous psychiatric samples. They are confirmed by external validation in independent large samples including probands with (1) psychosis (N = 727) versus healthy controls (N = 292), (2) psychotic (N = 49) and non-psychotic bipolar disorder (N = 36), and (3) non-psychotic affective disorders (N = 119) and psychosis (N = 51) yielding accuracies of 65%, 66% and 58%, respectively, albeit slightly different psychosis syndromes. Our findings make a significant contribution to the identification of biologically defined profiles of heterogeneous psychosis syndromes on an individual level underlining the impact of sensorimotor dysfunction in psychosis. [ABSTRACT FROM AUTHOR]

Published
2024
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31. Validation of the Bullying Scale for Adults - Results of the PRONIA-study

Author

Betz, Linda, Erkens, Anne, Gussmann, Eva, Haas, Shalaila, Hasan, Alkomiet, Hoff, Claudius, Khanya-ree, 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, Hedderich, Dennis, Blume, Karsten, Woopen, Christiane, Andreou, Christina, Egloff, Laura, Harrisberger, Fabienne, Lenz, Claudia, Leanza, Letizia, Mackin-tosh, Amatya, Smieskova, Renata, Studerus, Erich, Walter, Anna, Widmayer, Sonja, Day, Chris, Griffiths, Sian Lowri, Iqbal, Mariam, Pelton, Mirabel, Mallikarjun, Pavan, Stainton, Alexandra, Lin, Ashleigh, Denissoff, Alexander, Ellilä, Anu, From, Tiina, Heinimaa, Markus, Ilonen, Tuula, Jalo, Päivi, Lauri-kainen, Heikki, Luutonen, Antti, Mäkela, Akseli, Paju, Janina, Pesonen, Henri, Armio, 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, Percudani, Mauro, 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, Haidl, Theresa Katharina, Schneider, Nicole, Dickmann, Kim, Ruhrmann, Stephan, Kaiser, Nathalie, Rosen, Marlene, Seves, Mauro, Lichtenstein, Thorsten, Upthegrove, Rachel, Salokangas, Raimo K.R., Pantelis, Christos, Meisenzahl, Eva, Wood, Stephen J., Brambilla, Paolo, Borgwardt, Stefan, Rebekka, Lencer, Kambeitz, Joseph, Koutsouleris, Nikolaos, and Schultze-Lutter, Frauke

Published
2020
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40. 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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42. Sociodemographic and clinical predictors of depression in children and adolescents: results of a two-year follow-up study

Author

Styss, Nick, primary, Michel, Chantal, additional, Osman, Naweed, additional, Walger, Petra, additional, Franscini, Maurizia, additional, Traber-Walker, Nina, additional, Schimmelmann, Benno G., additional, Flückiger, Rahel, additional, Romanos, Marcel, additional, Meisenzahl, Eva, additional, Reissner, Volker, additional, Romer, Georg, additional, Schulte-Körne, Gerd, additional, Greimel, Ellen, additional, and Schultze-Lutter, Frauke, additional

Published
2023
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44. The role of mentalizing in the relationship between schizotypal personality traits and state signs of psychosis risk captured by cognitive and perceptive basic symptoms

Author

Salaminios, George, primary, Sprüngli-Toffel, Elodie, additional, Michel, Chantal, additional, Morosan, Larisa, additional, Eliez, Stephan, additional, Armando, Marco, additional, Fonseca-Pedrero, Eduardo, additional, Derome, Melodie, additional, Schultze-Lutter, Frauke, additional, and Debbané, Martin, additional

Published
2023
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45. Intact Mismatch Negativity Responses in Clinical High-Risk for Psychosis and First-Episode Psychosis: Evidence from Source-Reconstructed Event-Related Fields and Time-Frequency Data

Author

Dheerendra, Pradeep, primary, Grent-‘t-Jong, Tineke, additional, Gajwani, Ruchika, additional, Gross, Joachim, additional, Gumley, Andrew, I., additional, Krishnadas, Rajeev, additional, Lawrie, Stephen M., additional, Schwannauer, Matthias, additional, Schultze-Lutter, Frauke, additional, and Uhlhaas, Peter J., additional

Published
2023
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47. Contributors

Author

Addington, Jean, primary, Al-Diwani, Adam, additional, Albert, Nikolai, additional, Allott, Kelly, additional, Armando, Marco, additional, Barrantes-Vidal, Neus, additional, Bechdolf, A., additional, Bhattacharyya, Sagnik, additional, Burkhardt, E., additional, Cannon, Mary, additional, Chan, Stella W.Y., additional, Chan, Sherry K.W., additional, Chang, W.C., additional, Chen, Eric Y.H., additional, Colizzi, Marco, additional, Corsico, Paolo, additional, Devoe, Daniel J., additional, Donoghue, Brian O., additional, Eliez, Stephan, additional, Flückiger, Rahel, additional, Gifford, George, additional, Glenthøj, Louise Birkedal, additional, Hartmann, Jessica A., additional, Healy, Colm, additional, Hui, Christy L.M., additional, Jones, Hannah J., additional, Jones, Peter B., additional, Kwapil, Thomas R., additional, Lawrie, Stephen M., additional, Lee, Edwin H.M., additional, Leopold, K., additional, Lin, Ashleigh, additional, Macdonald, Alix, additional, McCutcheon, Robert, additional, McGorry, Patrick D., additional, McGuire, Philip, additional, McIntosh, Andrew M., additional, Mei, Cristina, additional, Michel, Chantal, additional, Modinos, Gemma, additional, Morgan, Craig, additional, Nelson, Barnaby, additional, Nordentoft, Merete, additional, Oliver, Dominic, additional, Perez, Jesus, additional, Piskulic, Danijela, additional, Pollak, Thomas A., additional, Racioppi, Anna, additional, Ratheesh, Aswin, additional, Roberts, Tessa, additional, Romaniuk, Liana, additional, Sandini, Corrado, additional, Santesteban-Echarri, Olga, additional, Schneider, Maude, additional, Schultze-Lutter, Frauke, additional, Singh, Ilina, additional, Soneson, Emma, additional, Spooner, Rachael, additional, Stowkowy, Jacqueline, additional, Suen, Y.N., additional, Sussmann, Jessika E., additional, Theodoridou, Anastasia, additional, Thompson, Andrew D., additional, Walters, James T.R., additional, Whalley, Heather C., additional, Yung, Alison R., additional, and Zammit, Stanley, additional

Published
2020
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