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Even this relatively simple, yet extremely fast, ability requires the coordinated activity of large\u2010scale brain networks. However, little is known about the sub\u2010second dynamics of these networks. The majority of current studies into large\u2010scale network dynamics is primarily based on imaging techniques suffering from either poor temporal or spatial resolution. We investigated the dynamics of large\u2010scale functional brain networks underlying recognition memory at the millisecond scale. Specifically, we analyzed dynamic effective connectivity from intracranial electroencephalography while epileptic subjects (<jats:italic>n<\/jats:italic>\u2009=\u200918) performed a fast visual recognition memory task. Our data\u2010driven investigation using Granger causality and the analysis of communities with the Louvain algorithm spotlighted a dynamic interplay of two large\u2010scale networks associated with successful recognition. The first network involved the right visual ventral stream and bilateral frontal regions. It was characterized by early, predominantly bottom\u2010up information flow peaking at 115\u2009ms. It was followed by the involvement of another network with predominantly top\u2010down connectivity peaking at 220\u2009ms, mainly in the left anterior hemisphere. The transition between these two networks was associated with changes in network topology, evolving from a more segregated to a more integrated state. These results highlight that distinct large\u2010scale brain networks involved in visual recognition memory unfold early and quickly, within the first 300\u2009ms after stimulus onset. Our study extends the current understanding of the rapid network changes during rapid cognitive processes.<\/jats:p>","DOI":"10.1002\/hbm.26477","type":"journal-article","created":{"date-parts":[[2023,9,9]],"date-time":"2023-09-09T13:09:52Z","timestamp":1694264992000},"page":"5795-5809","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Large\u2010scale network dynamics underlying the first few hundred milliseconds after stimulus presentation: An investigation of visual recognition memory using <scp>iEEG<\/scp>"],"prefix":"10.1002","volume":"44","author":[{"given":"Jakub","family":"Kopal","sequence":"first","affiliation":[{"name":"Institute of Computer Science of the Czech Academy of Sciences  Prague Czech Republic"},{"name":"Department of Computing and Control Engineering University of Chemistry and Technology  Prague Czech Republic"},{"name":"Centre de Recherche Cerveau et Cognition Toulouse III University \u2013 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