Research areas

1) Conceptualizing exposure theray as dynamic feedback system

We aim at better understanding and optimizing exposure therapy.Specifically, we investigate psychological, peripheral physiologicaland neuroimaging measures to computationally model exposure therapy as closed-loop feedback systems.

Contact:  Alexander Karner, Cindy Lor, Filip Melinšcak, Mengfan Zhang, Frank Scharnowski

2) Real-time fMRI Neurofeedback

We develop new brain imaging methods and apply them to clinical conditions. Specifically, we use functional magnetic resonance imaging (fMRI) as a non-invasive therapeutic tool. This can be achieved by using real-time fMRI and neurofeedback of brain signals to teach participants and patients to self-regulate their brain activity. With our work, we aim to translate this cutting-edge technology to the clinics to benefit patients.

Contact: Alexander Karner, Cindy Lor, Kathrin Kostorz,  Mengfan Zhang,  Frank Scharnowski

3) Machine-learning with psychological data

Generally, machine-learning techniques are powerful tools for dataanalysis. Particularly in psychology, where heterogeneous,multimodal data are ubiquitous. We offer the chance to dive into thishot topic and to gain hands-on experience with real world machinelearningapplications.

Contact: David Steyrl, Frank Scharnowski