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However, whether developmental dyslexia presents broader white matter network connectivity disruption is currently unknown. The present study reconstructed white matter networks for 26 dyslexic children (11.61\u2009\u00b1\u20091.31 years) and 31 age\u2010matched controls (11.49\u2009\u00b1\u20091.36 years) using constrained spherical deconvolution tractography. Network\u2010based statistics (NBS) analysis was performed to identify network connectivity deficits in dyslexic individuals. Network topological features were measured based on graph theory to examine whether these parameters correlate with literacy skills, and whether they explain additional variance over previously established white matter connectivity abnormalities in dyslexic children. The NBS analysis identified a network connecting the left\u2010occipital\u2010temporal cortex and temporo\u2010parietal cortex that had decreased streamlines in dyslexic children. Four network topological parameters (clustering coefficient, local efficiency, transitivity, and global efficiency) were positively correlated with literacy skills of dyslexic children, and explained a substantial proportion of additional variance in literacy skills beyond connectivity measures of white matter pathways. This study for the first time reports a disconnection in a local subnetwork in the left hemisphere in dyslexia and shows that the global white matter network topological properties contribute to reduced literacy skills in dyslexic children.<\/jats:p>","DOI":"10.1002\/hbm.24390","type":"journal-article","created":{"date-parts":[[2018,9,25]],"date-time":"2018-09-25T09:16:20Z","timestamp":1537866980000},"page":"505-516","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["White matter network connectivity deficits in developmental dyslexia"],"prefix":"10.1002","volume":"40","author":[{"given":"Chenglin","family":"Lou","sequence":"first","affiliation":[{"name":"School of Psychology Shaanxi Normal University, and Key Laboratory for Behavior and Cognitive Neuroscience of Shaanxi Province, Xi'an China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiting","family":"Duan","sequence":"additional","affiliation":[{"name":"School of Psychology Shaanxi Normal University, and Key Laboratory for Behavior and Cognitive Neuroscience of Shaanxi Province, Xi'an China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Irene","family":"Altarelli","sequence":"additional","affiliation":[{"name":"Laboratoire de Sciences Cognitives et Psycholinguistique (ENS, EHESS, CNRS), D\u00e9partement d'Etudes Cognitives Ecole Normale Sup\u00e9rieure, PSL Research University Paris France"},{"name":"Faculty Psychology and Science De L'\u00e9ducation (FPSE) University of Geneva Geneva Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John A.","family":"Sweeney","sequence":"additional","affiliation":[{"name":"Department of Psychiatry and Behavioral Neuroscience University of Cincinnati  Cincinnati Ohio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Franck","family":"Ramus","sequence":"additional","affiliation":[{"name":"Laboratoire de Sciences Cognitives et Psycholinguistique (ENS, EHESS, CNRS), D\u00e9partement d'Etudes Cognitives Ecole Normale Sup\u00e9rieure, PSL Research University Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9000-6227","authenticated-orcid":false,"given":"Jingjing","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Psychology Shaanxi Normal University, and Key Laboratory for Behavior and Cognitive Neuroscience of Shaanxi Province, Xi'an China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2018,9,25]]},"reference":[{"key":"e_1_2_8_2_1","first-page":"546","volume-title":"Child behavior checklist. 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