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Abstract #0054

Combined DTI-derived metrics capture acute structural alterations in sports-related mild TBI (mTBI)

Arun Venkataraman1, Samuel B Tomlinson2, Steven Meyers3, Jeffrey J Bazarian4, and Jianhui Zhong5

1School of Medicine and Dentistry, University of Rochester, Rochester, NY, United States, 2School of Medicine and Dentistry, University of Rochester, 3Radiology, University of Rochester, 4Neurology and Public Health, University of Rochester Medical Center, 5Center for Brain Imaging, University of Rochester

Traumatic brain injury (TBI) is a source of considerable cost to society. Measures have been taken to increase awareness of possible injury, with safety precautions following suit. Despite this vigilance, the possibility of underdiagnosis is a reality. In this abstract, we seek to explain DTI-derived metrics and their application in the clinical setting. Tract based spatial statistics (TBSS), brain segmentation, and network analysis were applied to TBI and healthy cohorts to derive metrics that could aid in the diagnosis of mild TBI (mTBI), and provide a mechanism for quantification of severity and risk stratification.

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