Sören Krach

Influence of chronotype on the incidence and severity of perinatal depression in the “Life-ON” study

Publications /

Influence of chronotype on the incidence and severity of perinatal depression in the “Life-ON” study Corrado Garbazza, …. Stefan Borgwardt,… 2022, Journal of Affective Disorders DOI: 10.1016/j.jad.2022.08.064 Abstract Perinatal depression (PND) is a severe complication of pregnancy, but there are no established risk factors predicting the disease. Evening chronotype has been associated with unhealthy lifestyle habits and […]

Influence of chronotype on the incidence and severity of perinatal depression in the “Life-ON” study Read More »

Identification of texture brain MRI abnormalities on clinical high-risk patients using explainable artificial intelligence

Talks /

Identification of texture brain MRI abnormalities on clinical high-risk patients using explainable artificial intelligence Alexandra Korda Oral presentation Dr. Alexandra Korda was being invited to give a talk on her recent advances in the identification of texture brain MRI abnormalities at the Centre for Brain, Behaviour, and Metabolism (CBBM) Research Day (University of Lübeck). 

Identification of texture brain MRI abnormalities on clinical high-risk patients using explainable artificial intelligence Read More »

Auditory perceptual and confidence decisions in humans and artificial neural networks

Talks /

Auditory perceptual and confidence decisions in humans and artificial neural networks Léon Franzen, Lea-Maria Schmitt, Christina Andreou & Jonas Obleser Poster presentation Dr. Léon Franzen and his colleagues will present their poster on the mechanisms of perceptual and confidence decisions at the Centre for Brain, Behaviour, and Metabolism (CBBM) Research Day (University of Lübeck). They

Auditory perceptual and confidence decisions in humans and artificial neural networks Read More »

Artificial intelligence in suicide prevention – using deep learning methods to interpret psychiatric free text documentation

Talks /

Auditory perceptual and confidence decisions in humans and artificial neural networks Alena Nag Poster presentation Alena Nag will present her poster on a timely investigation of cutting-edge methods for suicide prevention at the Centre for Brain, Behaviour, and Metabolism (CBBM) Research Day (University of Lübeck).

Artificial intelligence in suicide prevention – using deep learning methods to interpret psychiatric free text documentation Read More »

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

Publications /

The impact of visual dysfunctions in recent-onset psychosis and clinical high-risk state for psychosis Johanna M Schwarzer … Alexandra Korda … Stefan Borgwardt  2022, Neuropsychopharmacology DOI: 10.1038/s41386-022-01385-3 Abstract Subtle subjective visual dysfunctions (VisDys) are reported by about 50% of patients with schizophrenia and are suggested to predict psychosis states. Deeper insight into VisDys, particularly in early

The impact of visual dysfunctions in recent-onset psychosis and clinical high-risk state for psychosis Read More »

Characterizing Thalamocortical (Dys)connectivity Following D-Amphetamine, LSD, and MDMA Administration

Talks /

Characterizing Thalamocortical (Dys)connectivity Following D-Amphetamine, LSD, and MDMA Administration Mihai Avram DOI: 10.1016/j.bpsc.2022.04.003 Abstract Dr. Tamar Gur, social media editor for Biological Psychiatry, interviews Dr. Mihai Avram, whose recent article characterized the effects of psychedelics, empathogens, and psychostimulants on thalamocortical connectivity in healthy volunteers. This paper was published in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

Characterizing Thalamocortical (Dys)connectivity Following D-Amphetamine, LSD, and MDMA Administration Read More »

Exploring Links Between Psychosis and Frontotemporal Dementia Using Multimodal Machine Learning: Dementia Praecox Revisited

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

Exploring Links Between Psychosis and Frontotemporal Dementia Using Multimodal Machine Learning: Dementia Praecox Revisited Read More »

Special Collection “Hallucinations and Delusions” – call for submissions

Publications /

  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

Special Collection “Hallucinations and Delusions” – call for submissions Read More »

Think-aloud analysis of commonly used screening instruments for Internet use disorders: The CIUS, the IGDT-10, and the BSMAS

Publications /

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

Think-aloud analysis of commonly used screening instruments for Internet use disorders: The CIUS, the IGDT-10, and the BSMAS Read More »

Pattern of predictive features of continued cannabis use in patients with recent-onset psychosis and clinical high-risk for psychosis

Publications /

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

Pattern of predictive features of continued cannabis use in patients with recent-onset psychosis and clinical high-risk for psychosis Read More »

Scroll to Top