This talk will give an introductory overview of “functional connectivity (FC)” analysis using fMRI. First, I will review the signal characteristics of fMRI and the definition of FC in this specific context. Next, I will walk through the basic principles and practical considerations centered on seed-based FC analysis, network parcellation, and graph theoretical analysis of functional connectome. Simple real-data examples and Matlab scripts are provided for the audience to gain hands-on experience with these analyses. Finally, I will briefly discuss the benefits and challenges associated with studying FC using big data. Link to the tutorial video and codes: https://tinyurl.com/ISMRM2022-JingyuanChen.