Bridging electrical, metabolic and functional resting state brain networks via simultaneously recorded multimodal (hd-EEG/PET/MR) data (BRAINMAP). This project aims at mapping the multivariate relationship between glucose metabolism measured with PET, and simultaneously acquired fMRI, DTI, and high-density EEG signals in order to understand the source of resting activity high metabolic rate. Expertise in one or more of the following fields is required: multi-modal neuroimaging, signal processing, and multi-variate statistics. Supervisor: Prof. Maurizio Corbetta.

Inquiries about position: mailto:maurizio.corbetta@unipd.it