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Graph theoretical analysis using diffusion tensor imaging was used to assess injury\u2010related differences in structural connectivity between 23 children (age 11\u201316 years) with mTBI and 20 age\u2010matched children with isolated orthopedic injuries (OI) scanned within 96 h postinjury. The distribution of hub regions and the associations between alterations in regional network measures and symptom burden, as assessed by the postconcussion symptom scale score (PCSS), were also examined. In comparison to the OI group, the mTBI group was found to have significantly higher small\u2010worldness (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.0001), higher normalized clustering coefficients (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.0001), higher normalized characteristic path length (<jats:italic>P<\/jats:italic>\u2009=\u20090.007), higher modularity (<jats:italic>P<\/jats:italic>\u2009=\u20090.0005), and lower global efficiency (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.0001). A series of hub regions in the mTBI group were found to have significant alterations in regional network measures including nodal degree, nodal clustering coefficient, and nodal between\u2010ness centrality. Correlation analysis showed that PCSS total score acquired at the time of imaging was significantly associated with the nodal degree of two hubs, the superior frontal gyrus at orbital section and the middle frontal gyrus. These findings provide new evidence of acute white matter alteration at both global and regional network level following mTBI in children furthering our understanding of underlying mechanisms of acute neurological insult associated with mTBI. <jats:italic>Hum Brain Mapp 36:779\u2013792, 2015<\/jats:italic>. \u00a9 <jats:bold>2014 Wiley Periodicals, Inc.<\/jats:bold><\/jats:p>","DOI":"10.1002\/hbm.22664","type":"journal-article","created":{"date-parts":[[2014,11,3]],"date-time":"2014-11-03T07:40:51Z","timestamp":1415000451000},"page":"779-792","source":"Crossref","is-referenced-by-count":89,"title":["Structural connectivity abnormality in children with acute mild traumatic brain injury using graph theoretical analysis"],"prefix":"10.1002","volume":"36","author":[{"given":"Weihong","family":"Yuan","sequence":"first","affiliation":[{"name":"Pediatric Neuroimaging Research Consortium, Division of Radiology, Cincinnati Children's Hospital Medical Center Cincinnati Ohio"},{"name":"College of Medicine University of Cincinnati Cincinnati Ohio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shari L.","family":"Wade","sequence":"additional","affiliation":[{"name":"College of Medicine University of Cincinnati Cincinnati Ohio"},{"name":"Division of Physical Medicine and Rehabilitation, Department of Pediatrics, Cincinnati Children's Hospital Medical Center Cincinnati Ohio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lynn","family":"Babcock","sequence":"additional","affiliation":[{"name":"College of Medicine University of Cincinnati Cincinnati Ohio"},{"name":"Division of Pediatric Emergency Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center Cincinnati Ohio"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2014,11,3]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.3874-05.2006"},{"key":"e_1_2_6_3_1","volume-title":"Manual for the Child Behavior Checklist and Revised Child Behavior Profile","author":"Achenbach TM","year":"1983"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jagp.2013.10.004"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.01.072"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.09.006"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.1929-08.2008"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1097\/WCO.0b013e32832d93dd"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhq291"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1017\/nws.2013.19"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.1163-11.2011"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-clinpsy-040510-143934"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrn2575"},{"key":"e_1_2_6_14_1","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/aws048"},{"key":"e_1_2_6_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2012.09.011"},{"key":"e_1_2_6_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00429-012-0494-2"},{"key":"e_1_2_6_17_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2013.00726"},{"key":"e_1_2_6_18_1","doi-asserted-by":"publisher","DOI":"10.1017\/S1355617712001452"},{"key":"e_1_2_6_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11682-013-9221-8"},{"key":"e_1_2_6_20_1","first-page":"407","article-title":"Breakdown of brain connectivity between normal aging and Alzheimer's disease: A structural k\u2010core network analysis","volume":"3","author":"Daianu M","year":"2013","journal-title":"Alzheimer's disease neuroimaging initiative. 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