NeurotechEU Summer School on EEG Functional Connectivity
at Reykjavik University
During this NeurotechEU summer school, we will provide all the necessary theoretical and practical tools for computing brain networks at the cortical level using scalp EEG. This includes: data preprocessing, inverse solution, functional connectivity, quantification using graph theory methods, and statistical analysis (ex: group analysis or tracking dynamics of brain networks).
This educational school will also provide the entire pipeline starting from the data collection, using our EEG platform (Aubonnet et al. 2022) and incorporating the best practices to collect high-quality data to cutting-edge methods to analyze EEG networks. We will end this course with concrete applications on real data in cognitive and clinical neuroscience, along with tools that can be used to combine EEG with machine learning algorithms, such as connectome predictive modeling.
- Target group: The summer school target audiences is Masters students and PhD candidates in neuroscientific disciplines, bioengineering, clinical or neuro psychology, data science, and neurobiological sciences.
- Deadline for registration: March 6. Contact your partner university whether it is possible to apply
