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In this investigation using resting-state fMRI, we compare the within-network and across-network coherence properties of reading and spelling networks directly to these properties of reference networks, and we also compare the network properties of the key node of the orthographic networks\u2014the visual word form area\u2014to those of the other nodes of the orthographic and reference networks. Consistent with previous results, we find that orthographic processing networks do not exhibit certain basic network coherence properties displayed by other networks. However, we identify novel distinctive properties of the orthographic processing networks and establish that the visual word form area has unusually high levels of connectivity with a broad range of brain areas. These characteristics form the basis of our proposal that orthographic networks represent a class of \u201chigh-level integrative networks\u201d with distinctive properties that allow them to recruit and integrate multiple, lower level processes. <\/jats:p>","DOI":"10.1162\/jocn_a_01405","type":"journal-article","created":{"date-parts":[[2019,4,2]],"date-time":"2019-04-02T12:49:36Z","timestamp":1554209376000},"page":"961-977","source":"Crossref","is-referenced-by-count":12,"title":["High-level Integrative Networks: A Resting-state fMRI Investigation of Reading and Spelling"],"prefix":"10.1162","volume":"31","author":[{"given":"Gali","family":"Ellenblum","sequence":"first","affiliation":[{"name":"Johns Hopkins University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeremy J.","family":"Purcell","sequence":"additional","affiliation":[{"name":"Johns Hopkins 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