biostudies-literatureUnknown38Gugger JJ<h4>Objective</h4>Traumatic brain injury results in diffuse axonal injury and the ensuing maladaptive alterations in network function are associated with incomplete recovery and persistent disability. Despite the importance of axonal injury as an endophenotype in TBI, there is no biomarker that can measure the aggregate and region-specific burden of axonal injury. Normative modeling is an emerging quantitative case-control technique that can capture region-specific and aggregate deviations in brain networks at the individual patient level. Our objective was to apply normative modeling in TBI to study deviations in brain networks after primarily complicated mild TBI and study its relationship with other validated measures of injury severity, burden of post-TBI symptoms, and functional impaiNeuroImage. Clinical103392https://www.ebi.ac.uk/biostudies/studies/S-EPMC10122019biostudies-literatureStructural brain network deviations predict recovery after traumatic brain injury.PMC10122019Smyk NSandsmark DHuang YDavis KAGugger JJLynch CKalyani PDiaz-Arrastia RSinha NWalter AEfalseStructural brain network deviations predict recovery after traumatic brain injury.<h4>Objective</h4>Traumatic brain injury results in diffuse axonal injury and the ensuing maladaptive alterations in network function are associated with incomplete recovery and persistent disability. Despite the importance of axonal injury as an endophenotype in TBI, there is no biomarker that can measure the aggregate and region-specific burden of axonal injury. Normative modeling is an emerging quantitative case-control technique that can capture region-specific and aggregate deviations in brain networks at the individual patient level. Our objective was to apply normative modeling in TBI to study deviations in brain networks after primarily complicated mild TBI and study its relationship with other validated measures of injury severity, burden of post-TBI symptoms, and functional impai2023-01-01T00:00:00Z2023 Mar2025-04-25T19:39:20.741Z2025-04-06T08:02:35.943ZS-EPMC101220193701891310.1016/j.nicl.2023.103392