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This lecture covers the fundamentals of brain connectomics, focusing on structural and functional brain networks. It explains terminology, equivalence between graphs and matrices, data preprocessing, diffusion weighted imaging, and functional MRI. The lecture also delves into Pearson's-based functional connectivity, thresholding connectomes, node connectivity measures, and the modular structure of the functional connectome. Additionally, it briefly discusses the difference between brain networks and neural networks. The session concludes with information about upcoming exercises.