Prof. Markus Ploner | Developing EEG biomarkers of brain disorders

Biomarker discovery in neurological and psychiatric disorders critically depends on reproducible and transparent methods applied to large-scale datasets. Electroencephalography (EEG) is a promising tool for identifying biomarkers. However, recording, preprocessing, and analysis of EEG data is time-consuming and researcher-dependent. Therefore, we developed DISCOVER-EEG, an open and fully automated pipeline that enables easy and fast preprocessing, analysis, and visualization of EEG data. This approach facilitates the aggregation, reuse, and analysis of large EEG datasets for developing biomarkers of brain disorders. I will introduce this approach and discuss its perspectives with the use case of chronic pain.