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This lecture explores the concept of brain fingerprinting, focusing on detecting individual differences from brain graphs and maximizing the 'fingerprint' of functional brain networks. The instructor discusses brain connectomics, the identification of brain fingerprints, and the optimization of functional connectome identification. The presentation delves into the use of PCA for maximizing identifiability, the differential identifiability over various tasks, and the impact of identifiability on the identification rate. The lecture also covers identifiability maximization in single scan sessions, fingerprint maximization at different imaging sites, and the potential application of the identifiability idea in the clinical domain. The session concludes with information on the final presentation for the course.