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Recent neuroimaging studies have shown that functional connectomes are unique to individuals, i.e., two distinct fMRIs taken over different sessions of the same subject are more similar in terms of their connectomes than those from two different subjects. In this study, we present new results that identify specific parts of resting state and task-specific connectomes that are responsible for the unique signatures. We show that a very small part of the connectome can be used to derive featuresdoi:10.3389/fnins.2021.549322 pmid:33889066 pmcid:PMC8055927 fatcat:5szgt4t3lzfivkvr6yqfuh2ori