This document provides an overview of advanced network modeling and connectivity measures for functional magnetic resonance imaging (fMRI) data. It discusses extracting network structures from fMRI time series data, comparing connectivity across subjects or groups, and interpreting the resulting network structures. Specific topics covered include functional connectivity measures like correlation and partial correlation, estimating inverse covariance matrices, comparing connections between groups, and summarizing networks using graph theoretical measures.