Publications

Exploring Links Between Psychosis and Frontotemporal Dementia Using Multimodal Machine Learning: Dementia Praecox Revisited Nikolaos Koutsouleris, … Stefan Borgwardt, ….  DOI: 10.1001/jamapsychiatry.2022.2075 Abstract 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 […]

  Special Collection on  “Hallucinations and Delusions” – call for submissions   Hallucination is understood as the perception of something that is not there and delusion as the belief of something despite contrary evidence. Both are commonly associated with psychiatric conditions such as schizophrenia, Alzheimer’s disease, or bipolar disorder. However, they sometimes also manifest in

Think-aloud analysis of commonly used screening instruments for Internet use disorders: The CIUS, the IGDT-10, and the BSMAS Hannah Schmidt, … Stefan Borgwardt, ….  DOI: 10.1556/2006.2022.00034 Abstract Despite the constant publication of new screening instruments for Internet use disorders (IUD), little is known about their content validity. This study aimed to identify potential mismatches between the

Pattern of predictive features of continued cannabis use in patients with recent-onset psychosis and clinical high-risk for psychosis Nora Penzel,…, Stefan Borgwardt, … DOI: 10.1038/s41537-022-00218-y Abstract Continued cannabis use (CCu) is an important predictor for poor long-term outcomes in psychosis and clinically high-risk patients, but no generalizable model has hitherto been tested for its ability to

The Basal Forebrain Cholinergic Nuclei and Their Relevance to Schizophrenia and Other Psychotic Disorders Sofia Eickhoff, Léon Franzen, Alexandra Korda, Helena Rogg, Valerie-Noelle Trulley, Stefan Borgwardt & Mihai Avram   DOI: 10.3389/fpsyt.2022.909961 Abstract The basal forebrain cholinergic nuclei (BFCN) provide the main cholinergic input to prefrontal cortices, the hippocampi, and amygdala. These structures are highly relevant for the regulation and maintenance of many

Negative symptoms, striatal dopamine, and model-free reward decision-making in schizophrenia Felix Brandl, …Mihai Avram,… Brain, awac268doi: 10.1093/brain/awac268   Abstract Negative symptoms, such as lack of motivation or social withdrawal, are highly prevalent and debilitating in patients with schizophrenia. Underlying mechanisms of negative symptoms are incompletely understood, thereby preventing the development of targeted treatments. We hypothesized that

  Latent state-trait structure of BPRS subscales in clinical high-risk state and first episode psychosis Hochstrasser, L., … S. Borgwardt …    Scientific Reports doi: 10.1038/s41598-022-10207-x   Abstract To investigate the longitudinal latent state-trait structure of the different dimensions of psychosis symptoms in clinical high-risk state (CHRS) and first episode psychosis (FEP) individuals over a one

Novel Gyrification Networks Reveal Links with Psychiatric Risk Factors in Early Illness Sanfelici, R. … S. Borgwardt … PRONIA Consortium   2022. Cerebral Cortex doi: 10.1093/cercor/bhab288   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

Clinical, Brain, and Multilevel Clustering in Early Psychosis and Affective Stages Dwyer, D. B. … C. Andreou … S. Borgwardt … PRONIA Consortium   2022. JAMA Psychiatry doi: 10.1001/jamapsychiatry.2022.1163   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

Neurobiologically Based Stratification of Recent-Onset Depression and Psychosis: Identification of Two Distinct Transdiagnostic Phenotypes Lalousis, P. A. … C. Andreou … S. Borgwardt    2022. Biological Psychiatry doi: 10.1016/j.biopsych.2022.03.021   Abstract Background Identifying neurobiologically based transdiagnostic categories of depression and psychosis may elucidate heterogeneity and provide better candidates for predictive modeling. We aimed to identify