Inter-Subject Variability of Axonal Injury in Diffuse Traumatic Brain Injury

J Neurotrauma. 2017 Jul 15;34(14):2243-2253. doi: 10.1089/neu.2016.4817. Epub 2017 May 3.

Abstract

Traumatic brain injury (TBI) is a leading cause of cognitive morbidity worldwide for which reliable biomarkers are needed. Diffusion tensor imaging (DTI) is a promising biomarker of traumatic axonal injury (TAI); however, existing studies have been limited by a primary reliance on group-level analytic methods not well suited to account for inter-subject variability. In this study, 42 adults with TBI of at least moderate severity were examined 3 months following injury and compared with 35 healthy controls. DTI data were used for both traditional group-level comparison and subject-specific analysis using the distribution-corrected Z-score (DisCo-Z) approach. Inter-subject variation in TAI was assessed in a threshold-invariant manner using a threshold-weighted overlap map derived from subject-specific analysis. Receiver operator curve analysis was used to examine the ability of subject-specific DTI analysis to identify TBI subjects with significantly impaired processing speed in comparison with region of interest-based fractional anisotropy (FA) measurements and clinical characteristics. Traditional group-wise analysis demonstrated widespread reductions of white matter FA within the TBI group (voxel-wise p < 0.05, corrected), despite relatively low consistency of subject-level effects secondary to widespread variation in the spatial distribution of TAI. Subject-specific mapping of TAI with the DisCo-Z approach was the best predictor of impaired processing speed, achieving high classification accuracy (area under the curve [AUC] = 0.94). In moderate-to-severe TBI, there is substantial inter-subject variation in TAI, with extent strongly correlated to post-traumatic deficits in processing speed. Significant group-level effects do not necessarily represent consistent effects at the individual level. Better accounting for inter-subject variability in neurobiological manifestations of TBI may substantially improve the ability to detect and classify patterns of injury.

Keywords: cognitive function; diffusion tensor imaging; traumatic axonal injury; traumatic brain injury.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Brain Injuries, Traumatic / complications
  • Brain Injuries, Traumatic / diagnostic imaging*
  • Cognitive Dysfunction / etiology
  • Cognitive Dysfunction / physiopathology*
  • Diffuse Axonal Injury / complications
  • Diffuse Axonal Injury / diagnostic imaging*
  • Diffusion Tensor Imaging / methods*
  • Female
  • Glasgow Coma Scale
  • Humans
  • Male
  • Middle Aged
  • White Matter / diagnostic imaging*
  • Young Adult