Detecting large-scale brain networks using high-density electroencephalography.

High-density electroencephalography (hdEEG) is an emerging brain imaging technique that can permit investigating dynamics of brain function in health and disease. Its applications are however currently limited by a series of methodological issues, among which the difficulty in obtaining accurate source localizations. Accordingly, no hdEEG study has so far showed brain networks similar to those previously detected by functional magnetic resonance imaging. In this project, our main aim is the successful detection of large-scale brain networks using resting-state hdEEG recordings. To reach this goal, we will set up a tailored analysis pipeline including state-of-the-art tools for data preprocessing, head model generation, source localization and network detection. Our methodological work is expected to contribute to rise of hdEEG as a novel, powerful tool for brain research.

Keywords:brain networks

Disciplines:Orthopaedics, Human movement and sports sciences, Rehabilitation sciences