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As a newly emerging field, connectomics has greatly advanced our understanding of the wiring diagram and organizational features of the human brain. Generative modeling-based connectome analysis, in particular, plays a vital role in deciphering the neural mechanisms of cognitive functions in health and dysfunction in diseases. Here we review the foundation and development of major generative modeling approaches for functional magnetic resonance imaging (fMRI) and survey their applications todoi:10.3389/fnhum.2022.940842 pmid:36061504 pmcid:PMC9428697 fatcat:oflaen765rdlljyyuhpsumcayu