Abstract #0463

Comparing self-reporting concussion assessments with an objective Diffusion Tensor Imaging (DTI) and resting state MRI (rsMRI) based measure

Nicholas M Simard¹, Michael D Noseworthy^1,2,3,4, Dinesh A Kumbhare^5,6, Stephan Ulmer^7,8, and Ethan Danielli²

¹Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada, ²School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada, ³Imaging Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada, ⁴Radiology, McMaster University, Hamilton, ON, Canada, ⁵Toronto Rehabilitation Institute, Toronto, ON, Canada, ⁶Medicine, University of Toronto, Toronto, ON, Canada, ⁷neurorad.ch, Zurich, Switzerland, ⁸Radiology & Neuroradiology, University hospital of Schleswig-Holstein, Kiel, Germany

Synopsis

Keywords: Traumatic brain injury, Brain Connectivity, Gray Matter, White MatterTraditional concussion self-reporting has significant limitations due to its subjectivity and inconsistency, therefore a more objective MRI-based approach is proposed in this research. A concussion population was assessed using the traditional PCSS method versus DTI anisotropy analysis and rsMRI complexity analysis. Concussed patients were compared to large age and sex matched datasets and a Z-transform was used on white and gray matter ROIs to identify injured areas in the cerebrum. A weighted mean equation was then used to compare Z-scores to the 7-point PCSS. Results confirmed sex differences in self reporting and shows promise as a future objective assessment tool.

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