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Resting\u2010state functional MRI (rs\u2010fMRI), which examines the low\u2010frequency component of the blood oxygen level dependent (BOLD) signal in the absence of an explicit task, provides an efficient and powerful mechanism for studying functional brain networks even in low\u2010functioning and young subjects. Studies using independent component analysis (ICA) have identified a set of resting\u2010state networks (RSNs) that have been linked to distinct domains of cognitive and perceptual function, which are believed to reflect the intrinsic functional architecture of the brain. This study is the first to examine resting\u2010state functional connectivity within these RSNs in FASD. Rs\u2010fMRI scans were performed on 38 children with FASD (19 with either full fetal alcohol syndrome (FAS) or partial FAS (PFAS), 19 nonsyndromal heavily exposed (HE)), and 19 controls, mean age 11.3\u2009\u00b1\u20090.9 years, from the Cape Town Longitudinal Cohort. Nine resting\u2010state networks were generated by ICA. Voxelwise group comparison between a combined FAS\/PFAS group and controls revealed localized dose\u2010dependent functional connectivity reductions in five regions in separate networks: anterior default mode, salience, ventral and dorsal attention, and R executive control. The former three also showed lower connectivity in the HE group. Gray matter connectivity deficits in four of the five networks appear to be related to deficits in white matter tracts that provide intra\u2010RSN connections. <jats:italic>Hum Brain Mapp 38:5217\u20135233, 2017<\/jats:italic>. \u00a9 <jats:bold>2017 Wiley Periodicals, Inc.<\/jats:bold><\/jats:p>","DOI":"10.1002\/hbm.23726","type":"journal-article","created":{"date-parts":[[2017,7,22]],"date-time":"2017-07-22T10:42:39Z","timestamp":1500720159000},"page":"5217-5233","source":"Crossref","is-referenced-by-count":37,"title":["Localized reductions in resting\u2010state functional connectivity in children with prenatal alcohol exposure"],"prefix":"10.1002","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0443-5904","authenticated-orcid":false,"given":"Jia","family":"Fan","sequence":"first","affiliation":[{"name":"MRC\/UCT Medical Imaging Research Unit Division of Biomedical Engineering, University of Cape Town  South Africa"},{"name":"Department of Human Biology University of 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