Psychiatry

The central focus of the research group led by Prof. Dr. Sebastian Olbrich is to identify reliable and objective predictors of suicidality that exhibit a high potential for translation into clinical use. To discover and characterize such predictors we will apply electroencephalogram (EEG) and electrocardiogram (ECG). We will specifically target markers that have consistently been linked to suicidality and affective disorders, namely heart rate variability, EEG wakefulness regulation, and functional connectivity. Apart from electrophysiological features, we will also examine data extracted from smartphones. Being ubiquitous, smartphones allow for an objective and unobtrusive collection of a wealth of data about an individual`s behavior and context, such as location, movement, activity, or sleep patterns. These so-called passively collected data or digital biomarkers seem to be a promising data source with the potential to indicate suicide risk. Research to date suggests the utility of this dataset but offers limited and inconclusive evidence of its validity and usefulness for clinical practice.  By using digital biomarkers, we aim to contribute to research in this field and help broaden the understanding of their role in the prediction of suicidal thoughts and behaviors. Our ultimate goal is to provide a solid evidence base to inform and advance practice in psychiatry, and to help achieve a shift towards more personalized approaches in the prevention of suicidal behavior in high-risk populations.