[1075] Transdiagnostic multimodal neuroscience

Our lab studies brain organization in psychosis and related disorders, with the goal of understanding how disruptions in large-scale networks contribute to clinical symptoms, disease progression, and individual differences in outcome. A central aim of our work is to translate these insights into biomarkers and interventions that are relevant for clinical practice.

We use a transdiagnostic and multimodal approach that combines network neuroscience, multimodal neuroimaging, biological profiling, and computational modeling. This framework allows us to study how brain systems, molecular processes, and environmental factors jointly shape clinical phenotypes across traditional diagnostic boundaries. Our research is organized along two closely connected axes.

1.) Network and Clinical Neuroscience in Psychiatry

We use large-scale clinical, genetic, and multimodal neuroimaging data to characterize individual patterns of brain network organization across psychosis, addiction, and related conditions. Our work focuses on developing network models to better understand vulnerability and disease progression within a transdiagnostic framework of psychopathology and brain health across the lifespan.

2.) Multimodal Deep Phenotyping and Clinical Translation

We study transdiagnostic symptom dimensions, with a particular focus on motivational and cognitive dysfunction. We integrate ultra-high-field multimodal MRI with biological and digital behavioral assessments to identify individualized, multidomain MRI markers of circuit- and system-level organization. Building on these insights, we aim to advance personalized neuromodulation, targeted pharmacology, and modular psychotherapy tailored to specific cognitive–motivational profiles.

The overarching goal of our lab is to contribute to precision psychiatry by developing innovative prevention and personalized treatment strategies informed by neuroimaging and neuroscience to maintain and restore mental health.