• Jace B King, Melissa P Lopez-Larson, and Deborah A Yurgelun-Todd.
• Department of Radiology, University of Utah, 30 North 1900 East #1A071, Salt Lake City, UT 84132-2140, USA; Interdepartmental Program in Neuroscience, University of Utah, 20 South 2030 East, 390A BPRB, Salt Lake City, UT 84112, USA; Diagnostic Neuroimaging, University of Utah, 383 Colorow Drive, Salt Lake City, UT 84108, USA. Electronic address: jace.king@hsc.utah.edu.
• Neuroimage Clin. 2016 Jan 1; 11: 81-89.

AbstractIn the United States alone, the number of persons living with the enduring consequences of traumatic brain injuries is estimated to be between 3.2 and 5 million. This number does not include individuals serving in the United States military or seeking care at Veterans Affairs hospitals. The importance of understanding the neurobiological consequences of mild traumatic brain injury (mTBI) has increased with the return of veterans from conflicts overseas, many of who have suffered this type of brain injury. However, identifying the neuroanatomical regions most affected by mTBI continues to prove challenging. The aim of this study was to assess the use of mean cortical curvature as a potential indicator of progressive tissue loss in a cross-sectional sample of 54 veterans with mTBI compared to 31 controls evaluated with MRI. It was hypothesized that mean cortical curvature would be increased in veterans with mTBI, relative to controls, due in part to cortical restructuring related to tissue volume loss. Mean cortical curvature was assessed in 60 bilateral regions (31 sulcal, 29 gyral). Of the 120 regions investigated, nearly 50% demonstrated significantly increased mean cortical curvature in mTBI relative to controls with 25% remaining significant following multiple comparison correction (all, pFDR < .05). These differences were most prominent in deep gray matter regions of the cortex. Additionally, significant relationships were found between mean cortical curvature and gray and white matter volumes (all, p < .05). These findings suggest potentially unique patterns of atrophy by region and indicate that changes in brain microstructure due to mTBI are sensitive to measures of mean curvature.

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