This course aims to provide theoretical background and practical instruction on several key advanced methods in neuroimaging analysis, including connectivity, multivariate pattern analysis, advanced diffusion and PET methods, M/EEG source estimation, and fMRI. The course will focus on the theoretical issues underlying the methodology such as anatomical, functional, and effective connectivity; pattern-information mapping vs. mass-univariate modelling; parametric vs. non-parametric statistical methods; and Bayesian approaches to inverse problems. Practical sessions will apply the theory introduced in lectures and provide introductory hands-on training in several advanced analysis methods.
Grad Scheme
Letter