Department of Psychiatry Science Lunch 2021 Dr. Mihai Avram, Department of Psychology at the University of Lübeck, presented his research on “Charakterisierung veränderter thalamokortikaler Konnektivität nach d-Amphetamin, LSD und MDMA Gabe”. Our weekly “Science Lunch” takes place on Wednesdays at noon (12pm CEST) online via the Webex platform. Once a month, external speakers are invited […]
Department of Psychiatry Science Lunch Dr. Philipp Herzog, Department of Psychiatry at Lübeck University, presented his research on how to optimize the effects of psychotherapy. Our weekly “Science Lunch” takes place on Wednesdays at noon (12pm CEST) online via the Webex platform. Once a month, external speakers are invited to present their research during the
Department of Psychiatry Science Lunch Dr. Felix Müller, Department of Psychiatry at Basel University (Switzerland), presented his recent studies on the effects of hallucinogens (psilocybin, mescaline, LSD) on major depression. Our weekly “Science Lunch” takes place on Wednesdays at noon (12pm CEST) online via the Webex platform. Once a month, external speakers are invited to
Mushrooms instead of pills? The Renaissance of Hallucinogens in Psychiatry Read More »
Neuropsychopharmacology Association between age of cannabis initiation and gray matter covariance networks in recent onset psychosis Nora Penzel12, Linda A Antonucci23, Linda T Betz1, Rachele Sanfelici24, Johanna Weiske2, Oliver Pogarell2, Paul Cumming56, Boris B Quednow7, Oliver Howes891011, Peter Falkai2, Rachel Upthegrove12, Alessandro Bertolino13,Stefan Borgwardt1415, Paolo Brambilla1617, Rebekka Lencer151819, Eva Meisenzahl20, Marlene Rosen1, Theresa Haidl1, Lana Kambeitz-Ilankovic12, Stephan Ruhrmann1, Raimo R K Salokangas21, Christos Pantelis22, Stephen J Wood122324, Nikolaos Koutsouleris2825, Joseph Kambeitz26, PRONIA Consortium 2021 Mar 3. doi: 10.1038/s41386-021-00977-9. Online ahead
Neurosci Biobehav Rev Towards Clinical Application of Prediction Models for Transition to Psychosis: A Systematic Review and External Validation Study in the PRONIA Sample Marlene Rosen1, Linda T Betz1, Frauke Schultze-Lutter2, Katharine Chisholm3, Theresa K Haidl1, Lana Kambeitz-Ilankovic4, Alessandro Bertolino5, Stefan Borgwardt6, Paolo Brambilla7, Rebekka Lencer8, Eva Meisenzahl9, Stephan Ruhrmann1, Raimo K R Salokangas10, Rachel Upthegrove11, Stephen J Wood12, Nikolaos Koutsouleris13, Joseph Kambeitz14, PRONIA Consortium 2021 February 23; S0149-7634(21)00086-5. doi: 10.1016/j.neubiorev.2021.02.032. Online
Towards Clinical Application of Prediction Models for Transition to Psychosis Read More »
In January 2021, the Open Science Initiative Lübeck was founded . The Open Science movement aims to ensure the reproducibility and thus sustainability of science and to enable as many people as possible to access data and research results from all fields. On Feb. 18 2021, the virtual kick-off event with Prof. Ulrich Dirnagl (Charité,
Department of Psychiatry Science Lunch 2021 Dr. Sebastian Heinzel, Integrative data analytics (IDA) group at the Department of Neurology, Christian-Albrechts-University Kiel, presented his latest research on the prodromal state of Parkinson’s disease. Our weekly “Science Lunch” takes place on Wednesdays at noon (12pm CEST) online via the Webex platform. Once a month, external speakers are
Research diagnostic criteria and prodromal score in Parkinson’s disease Read More »
Personalized Estimates of Brain Structural Variability in Individuals With Early Psychosis Mathilde Antoniades, Shalaila S Haas, Amirhossein Modabbernia, Oleg Bykowsky, Sophia Frangou, Stefan Borgwardt, André Schmidt Author Notes Schizophrenia Bulletin, sbab005, https://doi.org/10.1093/schbul/sbab005 Published: 06 February 2021
Heterogeneity and Classification of Recent Onset Psychosis and Depression: A Multimodal Machine Learning Approach Paris Alexandros Lalousis, Stephen J Wood, Lianne Schmaal, Katharine Chisholm, Sian Lowri Griffiths, Renate L E P Reniers, Alessandro Bertolino, Stefan Borgwardt, Paolo Brambilla, Joseph Kambeitz, Rebekka Lencer, Christos Pantelis, Stephan Ruhrmann, Raimo K R Salokangas, Frauke Schultze-Lutter, Carolina Bonivento, Dominic Dwyer, Adele Ferro, Theresa Haidl, Marlene Rosen, Andre Schmidt, Eva Meisenzahl, Nikolaos Koutsouleris, Rachel Upthegrove, PRONIA Consortium Author Notes Schizophrenia Bulletin,
Pattern classification as decision support tool in antipsychotic treatment algorithms Alexandra I Korda 1, Christina Andreou 1, Stefan Borgwardt 2 Abstract Pattern classification aims to establish a new approach in personalized treatment. The scope is to tailor treatment on individual characteristics during all phases of care including prevention, diagnosis, treatment, and clinical outcome. In psychotic disorders, this need results
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