His Sept. 5 talk, "Mapping joint structural-functional connectome traits in human brain networks", was voted first out of the 18 talks given by students during the school. It was based on work done with Dr. Joaquín Goñi of the CONNplexity Lab.

ABSTRACT

One of the crucial questions in neuroscience is how brain function relates to its underlying structure. The joint study of structural and functional layers is difficult to accomplish due to the massive preprocessing, the inter-subject variability and the vast amount of information contained in both functional and structural connectomes. We propose a methodology that implements Independent Component Analysis (ICA) in the connectome domain, for the extraction of conjunct functional-structural connectivity patterns from a set of individual functional and structural connectomes, by merging them into a common “hybrid” matrix that collects together the structural and functional fingerprint of a human brain.