{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T23:22:16Z","timestamp":1792711336103,"version":"4.5.0"},"reference-count":87,"publisher":"SAGE Publications","issue":"1-2","license":[{"start":{"date-parts":[[2023,12,29]],"date-time":"2023-12-29T00:00:00Z","timestamp":1703808000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Neurotrauma"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:p>\n                    Approximately 300\u2013550 children per 100,000 sustain a mild traumatic brain injury (mTBI) each year, of whom \u223c25\u201330% have long-term cognitive problems. Following mTBI, free water (FW) accumulation occurs in white matter (WM) tracts. Diffusion tensor imaging (DTI) can be used to investigate structural integrity following mTBI. Compared with conventional DTI, neurite orientation dispersion and density imaging (NODDI) orientation dispersion index (ODI) and fraction of isolated free water (FISO) metrics may allow a more advanced insight into microstructural damage following pediatric mTBI. In this longitudinal study, we used NODDI to explore whole-brain and tract-specific differences in ODI and FISO in children with persistent symptoms after mTBI (\n                    <jats:italic toggle=\"yes\">n<\/jats:italic>\n                    \u2009=\u200980) and in children displaying clinical recovery (\n                    <jats:italic toggle=\"yes\">n<\/jats:italic>\n                    \u2009=\u200932) at 1 and 2\u20133 months post-mTBI compared with healthy controls (HCs) (\n                    <jats:italic toggle=\"yes\">n<\/jats:italic>\n                    \u2009=\u200921). Two-way repeated measures analysis of variance (ANOVA) and voxelwise two-sample\n                    <jats:italic toggle=\"yes\">t<\/jats:italic>\n                    tests were conducted to compare whole-brain and tract-specific diffusion across groups. All results were corrected at positive false discovery rate (pFDR) &lt;0.05. We also examined the association between NODDI metrics and clinical outcomes, using logistical regression to investigate the value of NODDI metrics in predicting future recovery from mTBI. Whole-brain ODI was significantly increased in symptomatic participants compared with HCs at both 1 and 2 months post-injury, where the uncinate fasciculus (UF) and inferior fronto-occipital fasciculus (IFOF) were particularly implicated. Using region of interest (ROI) analysis in significant WM, bilateral IFOF and UF voxels, symptomatic participants had the highest ODI in all ROIs. ODI was lower in asymptomatic participants, and HCs had the lowest ODI in all ROIs. No changes in FISO were found across groups or over time. WM ODI was moderately correlated with a higher youth-reported post-concussion symptom inventory (PCSI) score. With 87% predictive power, ODI (1 month post-injury) and clinical predictors (age, sex, PCSI score, attention scores) were a more sensitive predictor of recovery at 2\u20133 months post-injury than fractional anisotropy (FA) and clinical predictors, or clinical predictors alone. FISO could not predict recovery at 2\u20133 months post-injury. Therefore, we found that ODI was significantly increased in symptomatic children following mTBI compared with HCs at 1 month post-injury, and progressively decreased over time alongside clinical recovery. We found no significant differences in FISO between groups or over time. WM ODI at 1 month was a more sensitive predictor of clinical recovery at 2\u20133 months post-injury than FA, FISO, or clinical measures alone. Our results show evidence of ongoing microstructural reorganization or neuroinflammation between 1 and 2\u20133 months post-injury, further supporting delayed return to play in children who remain symptomatic. We recommend future research examining the clinical utility of NODDI following mTBI to predict recovery or persistence of post-concussion symptoms and thereby inform management of mTBI.\n                  <\/jats:p>","DOI":"10.1089\/neu.2023.0196","type":"journal-article","created":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T02:38:35Z","timestamp":1698374315000},"page":"41-58","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":18,"title":["Evidence of Ongoing Cerebral Microstructural Reorganization in Children With Persisting Symptoms Following Mild Traumatic Brain Injury: A NODDI DTI Analysis"],"prefix":"10.1177","volume":"41","author":[{"given":"Athena","family":"Stein","sequence":"first","affiliation":[{"name":"Acquired Brain Injury in Children Research Group, The University of Queensland, South Brisbane, Queensland, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan","family":"Vinh To","sequence":"additional","affiliation":[{"name":"Queensland Brain Institute, The University of Queensland, South Brisbane, Queensland, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fatima A.","family":"Nasrallah","sequence":"additional","affiliation":[{"name":"Queensland Brain Institute, The University of Queensland, South Brisbane, Queensland, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karen M.","family":"Barlow","sequence":"additional","affiliation":[{"name":"Acquired Brain Injury in Children Research Group, The University of Queensland, South Brisbane, Queensland, Australia."},{"name":"Queensland Pediatric Rehabilitation Service, Queensland Children's Hospital, South Brisbane, Queensland, Australia."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2023,12,29]]},"reference":[{"key":"e_1_3_6_2_2","unstructured":"Faul M Wald MM Xu L et al. 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