Publications

LSD treatment affects working memory-related brainfunction in patients with major depressive disorder Friederike Holze, Kristian Larsen, Brice Ozenne, Gitte M. Knudsen, Anna M. Becker, Mihai Avram, Stefan Borgwardt, Matthias E. Liechti, Felix Müller & Patrick M. Fisher DOI: 10.1038/s41398-026-04522-4 Abstract Classic psychedelics, including lysergic acid diethylamide (LSD), are currently under investigation for the treatmentof major […]

Dentate Gyrus activation during visual but not auditory pattern separation: an investigation of perceptual modality differences in young and old individuals using fMRI Marko Rajkovic, Else Schneider, Marco Phil Caviezel, Rudolf Krug, Carolin Franziska Reichert, Stefan Borgwardt, Christoph Linnemann, Annette Beatrix Brühl, Undine Lang, Tobias Melcher DOI: 10.3389/fpsyt.2026.1900423 Abstract Introduction: Pattern separation (PS) is a

Psychedelics tune the brain to the environment Stefan Borgwardt & Mihai Avram DOI: 10.1038/d41586-026-02377-9 Abstract Classic psychedelic compounds — a group that includes psilocybin, LSD, DMT and mescaline — induce profound alterations in perception, cognition and emotion. These substances have captured scientific and clinical attention, partly because guided treatment with psychedelics can provide rapid and

Copeptin as a predictor of relapse in patients withan acute psychotic episode: a prospective 1-yearfollow-up study Clara O. Sailer, Jennifer Marian, Cihan Atila, Cemile Bathelt, Stefan Borgwardt & Mirjam Christ-Crain DOI: 10.1038/s41398-026-04374-y Abstract Arginine vasopressin (AVP), involved in higher brain functions, is increased in individuals with acute psychosis. Copeptin, a stable surrogate marker of AVP,

Transdiagnostic signatures of nonlinear gray-matter organization in major psychiatric disorders Evelyn Reger, Rossitsa Paunova, Ulviyya Mammadova, Diyana Najar, Drozdstoy Stoyanov, Stefan Borgwardt & Alexandra Korda  DOI: 10.1140/epjs/s11734-026-02554-x Abstract Schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD) are associated with structural brain abnormalities. Lyapunov-based approaches may provide additional descriptors of nonlinear gray-matter (GM) organization that might not be reflected by standard

Reliability of psychiatric diagnoses in the 21st century Mateo Boberg, Mads Gram Henriksen, … Léon Franzen, Stefan Borgwardt, … DOI: 10.3389/fpsyt.2026.1891625 Abstract Background:  Reliable diagnosis is a cornerstone of medical practice, yet concerns about diagnostic reliability have long haunted psychiatry. In the 1970s, the US–UK Diagnostic Project revealed striking international discrepancies in diagnostic practice. Although operationalized

Structural brain complexity is associated with linguistic complexity in psychosis Alexandra Korda, Wolfram Hinzen, Rui He, Peter van Dyken, Michael Mackinley, Eric Toyota, Mihai Avram, Christina Andreou, Stefan Borgwardt and Lena Palaniyappan To the article Abstract Introduction: Brain-structural and language abnormalities in people with psychotic symptoms (PSx)have long been reported. A key question is whether

Mental health outcomes in young adolescents born preterm reveal the need for earlier screening Emilia Greif, Frederike Schröpfer, Jekaterina Dudko, …, Stefan Borgwardt & Léon Franzen  DOI:  doi:10.1192/j.eurpsy.2026.12240 Abstract Early adolescence marks a critical period for the onset of psychiatric symptoms, with 50% of mental disorders emerging before age 18. Recent evidence points to individuals

Dopaminergic Drugs Modulate Resting-State EEG Microstates in Healthy Participants Renate de Bock, Amatya J. Mackintosh, Alexandra Korda, Alina Preuss, Daniel J. Hauke, Andreea O. Diaconescu, Philipp Sterzer, Stefan Borgwardt, Christina Andreou DOI: 10.1007/s10548-026-01232-4 Abstract Changes in the temporal parameters of EEG microstates are observed in various psychiatric illnesses, including psychotic disorders. These changes have also

Disentanglement learning to deconfound neuroimaging-environmental data: application to multi-site data harmonization in psychiatry Ines W. Sampaio, Anna M. Bianchi, Stefan Borgwardt, … DOI: 10.1109/ACCESS.2026.3712218 Abstract Debiasing and deconfounding represent fundamental challenges in deep learning (DL) applications to neuroimaging data, where confounding effects can significantly compromise model reliability and generalizability. Traditional debiasing approaches often require preprocessing