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Yet little is known about the intrinsic functional brain organization that contributes to poor math skills in affected children. It is now increasingly recognized that math cognition requires coordinated interaction within a large\u2010scale fronto\u2010parietal network anchored in the intraparietal sulcus (\n                    <jats:styled-content style=\"fixed-case\">IPS<\/jats:styled-content>\n                    ). Here we characterize intrinsic functional connectivity within this\n                    <jats:styled-content style=\"fixed-case\">IPS<\/jats:styled-content>\n                    \u2010network in children with\n                    <jats:styled-content style=\"fixed-case\">MD<\/jats:styled-content>\n                    , relative to a group of typically developing (\n                    <jats:styled-content style=\"fixed-case\">TD<\/jats:styled-content>\n                    ) children who were matched on age, gender,\n                    <jats:styled-content style=\"fixed-case\">IQ<\/jats:styled-content>\n                    , working memory, and reading abilities. Compared to\n                    <jats:styled-content style=\"fixed-case\">TD<\/jats:styled-content>\n                    children, children with\n                    <jats:styled-content style=\"fixed-case\">MD<\/jats:styled-content>\n                    showed hyper\u2010connectivity of the\n                    <jats:styled-content style=\"fixed-case\">IPS<\/jats:styled-content>\n                    with a bilateral fronto\u2010parietal network. Importantly, aberrant\n                    <jats:styled-content style=\"fixed-case\">IPS<\/jats:styled-content>\n                    connectivity patterns accurately discriminated children with\n                    <jats:styled-content style=\"fixed-case\">MD<\/jats:styled-content>\n                    and\n                    <jats:styled-content style=\"fixed-case\">TD<\/jats:styled-content>\n                    children, highlighting the possibility for using\n                    <jats:styled-content style=\"fixed-case\">IPS<\/jats:styled-content>\n                    connectivity as a brain\u2010based biomarker of\n                    <jats:styled-content style=\"fixed-case\">MD<\/jats:styled-content>\n                    . To further investigate regional abnormalities contributing to network\u2010level deficits in children with\n                    <jats:styled-content style=\"fixed-case\">MD<\/jats:styled-content>\n                    , we performed whole\u2010brain analyses of intrinsic low\u2010frequency fluctuations. Notably, children with\n                    <jats:styled-content style=\"fixed-case\">MD<\/jats:styled-content>\n                    showed higher low\u2010frequency fluctuations in multiple fronto\u2010parietal areas that overlapped with brain regions that exhibited hyper\u2010connectivity with the\n                    <jats:styled-content style=\"fixed-case\">IPS<\/jats:styled-content>\n                    . Taken together, our findings suggest that\n                    <jats:styled-content style=\"fixed-case\">MD<\/jats:styled-content>\n                    in children is characterized by robust network\u2010level aberrations, and is not an isolated dysfunction of the\n                    <jats:styled-content style=\"fixed-case\">IPS<\/jats:styled-content>\n                    . We hypothesize that intrinsic hyper\u2010connectivity and enhanced low\u2010frequency fluctuations may limit flexible resource allocation, and contribute to aberrant recruitment of task\u2010related brain regions during numerical problem solving in children with\n                    <jats:styled-content style=\"fixed-case\">MD<\/jats:styled-content>\n                    .\n                  <\/jats:p>","DOI":"10.1111\/desc.12399","type":"journal-article","created":{"date-parts":[[2016,2,14]],"date-time":"2016-02-14T19:05:59Z","timestamp":1455476759000},"page":"613-631","source":"Crossref","is-referenced-by-count":85,"title":["Parietal hyper\u2010connectivity, aberrant brain organization, and circuit\u2010based biomarkers in children with mathematical disabilities"],"prefix":"10.1111","volume":"19","author":[{"given":"Dietsje","family":"Jolles","sequence":"first","affiliation":[{"name":"Department of Psychiatry &amp; Behavioral Sciences Stanford University School of Medicine 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