There are various aims in our research. Some projects focus on pathophysiology and on stratifying patients within the schizophrenia spectrum based on multimodal variables and thus subgrouping patients with schizophrenia. The aim here is to predict the treatment response and short-term outcome (2 years) for individual patients based on this stratification.
Other studies investigate the long-term stability of clinical, functional and neurobiological markers for schizophrenia, and how these markers relate to societal outcome measures. With these data we aim to answer key questions regarding the mechanisms behind progressive brain changes and loss of functions - among others the relations between these and the disease process, psychotic episodes and relapses, and/or environmental factors including antipsychotic treatment and other interventions.
With machine learning methods we also aim to identify subgroups of patients and predict outcome based on patterns of several endophenotypes.
Read about the different research projects at CNSR here.