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We compared 6\u20137-yr-old children and adults during a naturalistic 5-min co-creative dialog with ChatGPT using the same prompt, in-scanner conversation, undergoing functional magnetic resonance imaging scanning and their dialogs were recorded. Functional connectivity was computed within and between seven large-scale networks: cingulo-opercular, default mode, memory retrieval, frontoparietal (FP), salience, ventral attention, and dorsal attention (DAN). Creativity scores, assessed outside of the scanner, did not differ between groups. Adults showed stronger within-network connectivity in control\/attention systems, most robustly in FP, with additional effects in salience and DAN. Adults also exhibited greater cross-network integration, particularly FP-salience and FP-DAN couplings, alongside broader adult-greater effects among memory- and attention-related pairs. During a co-creative AI-assisted conversation, children exhibit a less coherent and integrated control\u2013attention\u2013memory architecture than adults. The combination of similar creativity scores with divergent neural profiles suggests that developmental differences in the implementation of creative cognition may be more pronounced than baseline capacity. This highlights FP-centric pathways and their salience-gated interactions as candidate substrates by which creativity supports goal-directed co-creative dialog with AI.<\/jats:p>","DOI":"10.1093\/cercor\/bhag167","type":"journal-article","created":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T11:41:51Z","timestamp":1790077311000},"source":"Crossref","is-referenced-by-count":0,"title":["Lower engagement of cognitive control in children on ChatGPT"],"prefix":"10.1093","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0340-4708","authenticated-orcid":false,"given":"Tzipi","family":"Horowitz-Kraus","sequence":"first","affiliation":[{"name":"Educational Neuroimaging Group, Faculty of Education in Science and Technology, Technion \u2013 Israel Institute of Technology , Technion City, Haifa 3200003 ,","place":["Israel"]},{"name":"Faculty of Biomedical Engineering, Technion \u2013 Israel Institute of Technology , Technion City, Haifa 3200003 ,","place":["Israel"]},{"name":"May-Blum-Dahl Technion Human MRI Research Center (TecHMRC), Technion \u2013 Israel Institute of Technology , Technion City, Haifa 3200003 ,","place":["Israel"]},{"name":"Kennedy Krieger Institute , Baltimore, MD ,","place":["United States"]},{"name":"Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine , Baltimore, MD ,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3872-7689","authenticated-orcid":false,"given":"Yoed N","family":"Kenett","sequence":"additional","affiliation":[{"name":"May-Blum-Dahl Technion Human MRI Research Center (TecHMRC), Technion \u2013 Israel Institute of Technology , Technion City, Haifa 3200003 ,","place":["Israel"]},{"name":"Faculty of Data and Decision Sciences, Technion \u2013 Israel Institute of Technology , Technion City, Haifa 3200003 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