This presentation by Nikolaos Koutsouleris, Germany, was recorded on 20 January 2025 at the ECNP Roadmap Meeting on Precision Psychiatry in Frankfurt, Germany.
The talk focuses on how advances in neuroimaging offer promising opportunities for enhancing psychiatric diagnostics and treatments. It explores how to use neuroimaging biomarkers to refine the classification and management of psychiatric disorders, particularly depression. Traditional diagnoses based on clinical symptoms fail to account for biological variability, leading to varied treatment responses. Using machine learning, 76% accuracy is achieved in distinguishing depression from schizophrenia, with key factors being age of onset and brain age. Findings suggest early-onset depression may represent a distinct neurobiological phenotype. Integrating neurobiological factors into psychiatric diagnosis can improve precision, and neuroimaging data offers valuable insights into disease mechanisms and targeted interventions.
Views and opinions expressed in these videos are those of the presenters and do not necessarily reflect the official position of ECNP. The content of these videos should not be used in any way as the basis for treatment decisions.
