{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T16:48:55Z","timestamp":1791564535777,"version":"4.3.4"},"reference-count":68,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T00:00:00Z","timestamp":1768435200000},"content-version":"vor","delay-in-days":14,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000862","name":"Doris Duke Charitable Foundation","doi-asserted-by":"publisher","award":["2021258"],"award-info":[{"award-number":["2021258"]}],"id":[{"id":"10.13039\/100000862","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000925","name":"John Templeton Foundation","doi-asserted-by":"publisher","award":["62288"],"award-info":[{"award-number":["62288"]}],"id":[{"id":"10.13039\/100000925","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Prenatal substance exposure is an increasing problem that has been linked to multiple neurodevelopmental impairments and alterations to brain functional connectivity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Behavioral scores and functional network correlation data were obtained from the Adolescent Brain Cognitive Development\n                      <jats:sup>SM<\/jats:sup>\n                      (ABCD) Study. First, behavioral scores based on the child behavioral checklist were tested for associations with prenatal exposure to several substances along with demographic data. Then differences in resting\u2010state functional networks were assessed based on prenatal substance exposure. Third, we assessed the impact of resting\u2010state functional networks on behavioral scores. A linear regression was used for all these analyses, and a false discovery rate &lt; 0.05 was considered significant.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Based on the selection criteria, 6674 subjects were included in the analysis. Prenatal tobacco exposure (PTE), prenatal marijuana exposure, household income, and food insecurity were associated with worse behavioral scores. Additionally, PTE was significantly associated with increased connectivity between the default mode network (DMN) and dorsal attention network (DAN) and decreased intra\u2010network connectivity within the DAN. Finally, there were five CBCL scales that were associated with differences in network connectivity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Taken together, these results suggest PTE to be associated with multiple functional networks, including those associated with several CBCL scales.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/brb3.71168","type":"journal-article","created":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T06:47:29Z","timestamp":1768546049000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Child Behavioral Scores Correlate With Prenatal Tobacco and Marijuana Exposure, Sociodemographic Variables and Interactions of Default Mode and Dorsal Attention Networks"],"prefix":"10.1002","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3814-9436","authenticated-orcid":false,"given":"Ramana V.","family":"Vishnubhotla","sequence":"first","affiliation":[{"name":"Department of Radiology and Imaging Sciences Indiana University School of Medicine  Indianapolis Indiana USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4766-5934","authenticated-orcid":false,"given":"Yi","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Biostatistics and Health Data Science Indiana University School of Medicine  Indianapolis Indiana USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5224-1891","authenticated-orcid":false,"given":"Rupa","family":"Radhakrishnan","sequence":"additional","affiliation":[{"name":"Department of Radiology and Imaging Sciences Indiana University School of Medicine  Indianapolis Indiana USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,1,15]]},"reference":[{"key":"e_1_2_12_2_1","volume-title":"Manual for ASEBA School\u2010age Forms & Profiles","author":"Achenbach T. 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