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Electrocorticogram (ECoG) recording with high spatiotemporal resolutions is efficient in evaluating such cortical interactions; however, this has not been a focus of preceding studies. The present study evaluated cortical interactions during picture naming using a novel ECoG cross-spectrum analysis, which was formulated from a computational simulation of neuronal networks and combined with a vector space model of semantics. The results clarified three types of frequency-dependent cortical networks: 1) an earlier-period (0.2\u20130.8\u00a0s from stimulus onset) high-gamma-band (90\u2013150\u00a0Hz) network with a hub at the posterior fusiform gyrus, 2) a later-period (0.4\u20131.0\u00a0s) beta-band (15\u201340\u00a0Hz) network with multiple hubs at the ventral ATL and posterior middle temporal gyrus, and 3) a pre-articulation theta-band (4\u20137 Hz) network distributed over widely located cortical regions. These results suggest that frequency-dependent cortical interactions can characterize the underlying processes of semantic cognition, and the beta-band network with a hub at the ventral ATL is especially associated with the formation of semantic representation.<\/jats:p>","DOI":"10.1093\/cercor\/bhab089","type":"journal-article","created":{"date-parts":[[2021,3,22]],"date-time":"2021-03-22T12:13:17Z","timestamp":1616415197000},"page":"4329-4339","source":"Crossref","is-referenced-by-count":14,"title":["Frequency-Dependent Cortical Interactions during Semantic Processing: An Electrocorticogram Cross-spectrum Analysis Using a Semantic Space Model"],"prefix":"10.1093","volume":"31","author":[{"given":"Naoyuki","family":"Sato","sequence":"first","affiliation":[{"name":"Department of Complex and Intelligent Systems, School of Systems Information Science, Future University Hakodate, Hakodate, Hokkaido 041-8655, 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