The purpose of this course was to provide students with the foundations of network theory. The course covered all aspects of creating network models from neuroimaging data, including theory, assumptions, visualization, and quantifying models. We guided students though the analysis of the data using our software BRAPH 2.0 Read more Github
We introduced novel brain connectivity tools based on graph theory, dynamic connectivity, and deep learning. We demonstrated how you could use them to extract more information from your structural MRI (T1-weighted or DWI), functional MRI (resting-state or task-based), and PET data. We guided students though the analysis of the data using our software BRAPH 2.0 Dates: …
Workshop on Graph Theory and Deep Learning to Brain Connectivity Read More »
