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Time to Recover From Daily Caffeine Intake
Time to Recover From Daily Caffeine Intake Lin Y., …. Borgwardt, S. … Frontiers Nutrition doi: 10.3389/fnut.2021.787225 Abstract Caffeine elicits widespread effects in the …
The association of brain networks common to source monitoring and semantic integration with the symptoms of schizophrenia
Department of Psychiatry Science Lunch 2022 Sofia Eickhoff, Department of Psychiatry and Psychotherapy at the University of Lübeck, presented her research on the association of …
Charakterisierung veränderter thalamokortikaler Konnektivität nach d-Amphetamin, LSD und MDMA Gabe
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 …
Optimizing the effects of psychotherapy: efficacy, predictors, and side effects in routine inpatient care
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. …
Association between age of cannabis initiation and gray matter covariance networks in recent onset psychosis
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 …
Towards Clinical Application of Prediction Models for Transition to Psychosis
Neurosci Biobehav Rev Towards Clinical Application of Prediction Models for Transition to Psychosis: A Systematic Review and External Validation Study in the PRONIA Sample …
Personalized Estimates of Brain Structural Variability in Individuals With Early Psychosis
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 …
Heterogeneity and Classification of Recent Onset Psychosis and Depression: A Multimodal Machine Learning Approach
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 …
Pattern classification as decision support tool in antipsychotic treatment algorithms
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 …
Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression
JAMA Psychiatry Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression Nikolaos Koutsouleris123, Dominic B Dwyer1, Franziska …
Does Hippocampal Volume Predict Transition to Psychosis in a High-Risk Group? A Meta-Analysis
Front Psychiatry Does Hippocampal Volume Predict Transition to Psychosis in a High-Risk Group? A Meta-Analysis Bernd Hinney 1, Anna Walter 1, Soheila Aghlmandi 2, Christina Andreou 1, Stefan Borgwardt 1 2021 Jan 14; …
Psychotic disorders, dopaminergic agents and EEG/MEG resting-state functional connectivity: A systematic review
Neuroscience & Biobehavioral Reviews Psychotic disorders, dopaminergic agents and EEG/MEG resting-state functional connectivity: A systematic review Amatya Johanna Mackintoshab, Renate de Bockab, Zehwi Lima, …