{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T10:38:11Z","timestamp":1778755091389,"version":"3.51.4"},"reference-count":64,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2018,4,17]],"date-time":"2018-04-17T00:00:00Z","timestamp":1523923200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["NIMH 5R21MH107045"],"award-info":[{"award-number":["NIMH 5R21MH107045"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Human Brain Mapping"],"published-print":{"date-parts":[[2018,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    There has been sustained clinical and cognitive neuroscience research interest in how network correlates of brain\u2010behavior relationships might be altered in Autism Spectrum Disorders (ASD) and other neurodevelopmental disorders. As previous work has mostly focused on adults, the nature of whole\u2010brain connectivity networks underlying intelligence in pediatric cohorts with abnormal neurodevelopment requires further investigation. We used network\u2010based statistics (NBS) to examine the association between resting\u2010state functional Magnetic Resonance Imaging (fMRI) connectivity and fluid intelligence ability in male children (\n                    <jats:italic>n =<\/jats:italic>\n                    50) with Autism Spectrum Disorders (ASD;\n                    <jats:italic>M =<\/jats:italic>\n                    10.45,\n                    <jats:italic>SD =<\/jats:italic>\n                    1.58 years and in controls (\n                    <jats:italic>M<\/jats:italic>\n                    \u2009=\u200910.38,\n                    <jats:italic>SD =<\/jats:italic>\n                    0.96 years) matched on fluid intelligence performance, age and sex. Repeat analyses were performed in independent sites for validation and replication. Despite being equivalent on fluid intelligence ability to strictly matched neurotypical controls, boys with ASD displayed a subnetwork of significantly increased associations between functional connectivity and fluid intelligence. Between\u2010group differences remained significant at higher edge thresholding, and results were validated in independent\u2010site replication analyses in an equivalent age and sex\u2010matched cohort with ASD. Regions consistently implicated in atypical connectivity correlates of fluid intelligence in ASD were the angular gyrus, posterior middle temporal gyrus, occipital and temporo\u2010occipital regions. Development of fluid intelligence neural correlates in young ASD males is aberrant, with an increased strength in intrinsic connectivity association during childhood. Alterations in whole\u2010brain network correlates of fluid intelligence in ASD may be a compensatory mechanism that allows equal task performance to neurotypical peers.\n                  <\/jats:p>","DOI":"10.1002\/hbm.24074","type":"journal-article","created":{"date-parts":[[2018,4,18]],"date-time":"2018-04-18T01:16:16Z","timestamp":1524014176000},"page":"3253-3262","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Different brain networks underlying intelligence in autism spectrum disorders"],"prefix":"10.1002","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9519-2495","authenticated-orcid":false,"given":"Emmanuel Peng Kiat","family":"Pua","sequence":"first","affiliation":[{"name":"Melbourne School of Psychological Sciences University of Melbourne Parkville Victoria 3010 Australia"},{"name":"The Royal Children's Hospital Developmental Imaging, Murdoch Children's Research Institute, The Royal Children's Hospital Victoria 3052 Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charles B.","family":"Malpas","sequence":"additional","affiliation":[{"name":"Melbourne School of Psychological Sciences University of Melbourne Parkville Victoria 3010 Australia"},{"name":"The Royal Children's Hospital Developmental Imaging, Murdoch Children's Research Institute, The Royal Children's Hospital Victoria 3052 Australia"},{"name":"Clinical Outcomes Research Unit, Department of Medicine Royal Melbourne Hospital, The University of Melbourne Parkville Victoria 3010 Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephen C.","family":"Bowden","sequence":"additional","affiliation":[{"name":"Melbourne School of Psychological Sciences University of Melbourne Parkville Victoria 3010 Australia"},{"name":"St. Vincent's Hospital, 41 Victoria Parade Fitzroy Victoria 3065 Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc L.","family":"Seal","sequence":"additional","affiliation":[{"name":"The Royal Children's Hospital Developmental Imaging, Murdoch Children's Research Institute, The Royal Children's Hospital Victoria 3052 Australia"},{"name":"Department of Paediatrics University of Melbourne Parkville Victoria 3010 Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,4,17]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"crossref","unstructured":"Aarabi M. 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