One of the major challenges for people diagnosed high on the autism spectrum order is the ability to relate and interact with other people. The aim of this project is to study the potential of a specific type of EEG neurofeedback to treat Autism Spectrum Disorders (ASD), by focusing on Mu waves that have been linked to the mirror neuron system of the brain. This project will focus on improving social cognition and interaction in people with ASDs via neurofeedback training (NFT).

The impact of NFT will be assessed via behavioral clinical tests (such as the Autism Spectrum Quotient, the WHO quality of life questionnaire), experimental tests (such as on facial emotion recognition) and via event-related brain potentials (ERPs) that correlate with specific aspects of social cognition. The project will deliver a targeted therapeutic method for ASD that is potentially as effective as standard medication-based therapy but with longer-lasting effects and no negative side effects.

Principal Investigators: Prof. Dr. Stefan R. Schweinberger & Dr. Stella J. Wuttke