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Little is known about how our brains dynamically adapt for efficient functioning. Most previous work has focused on analyzing changes in co-fluctuations between a set of brain regions over several temporal segments of the data. We argue that by collapsing data in space or time, we stand to lose useful information about the brain's dynamical organization. Here we use Topological Data Analysis to reveal the overall organization of whole-brain activity maps at a single-participant level-as andoi:10.1038/s41467-018-03664-4 pmid:29643350 pmcid:PMC5895632 fatcat:cxbund33zjbf3ilvlenezp5rye