Spinal cord injury (SCI) is a debilitating condition with significant limitations for acute evaluation of severity, complicating prompt and effective treatment strategies. Diffusion Tensor Imaging (DTI) is a promising magnetic resonance imaging (MRI) research technique for detecting microscopic tissue injury in SCI, but requires long scan durations and lacks specificity for the important prognostic marker of cellular damage, reducing its clinical usefulness. The goal of this project is to apply a novel diffusion MRI technique to overcome these limitations and improve diagnosis and prognosis of SCI. This technique, termed double diffusion encoding (DDE), was specifically tailored to evaluate axonal integrity in the spinal cord, which has been shown to be the best predictor of functional outcome following injury, by reducing its sensitivity to edema and other processes that confound diffusion measurements. Preliminary data demonstrate that DDE measurements enable greater sensitivity to injury than DTI with a substantially reduced acquisition time. Furthermore, the automated DDE analysis requires minimal data post-processing and provides an important objective benefit over the time-consuming manual region of interest drawing commonly used with DTI. Thus, the DDE technique provides multiple benefits over DTI that increase its feasibility for potential clinical evaluation of SCI.
The aims of the project are to demonstrate the cellular basis for diffusion changes measured with DDE and its use as a prognostic indicator for long-term functional recovery. This method will be evaluated using a rat contusion model of SCI with graded severities induced by weight drop injuries. Comparison of MRI measurements to gold-standard histological quantification will demonstrate the strong association between DDE parameters and axonal injury (Aim 1). The prognostic capabilities of this new method will also be tested in the ability of acute DDE measurements to predict chronic nervous system function following injury (Aim 2). The results of these studies will impact both preclinical and clinical applications of SCI evaluation where improved sensitivity to axonal damage will better inform intervention, treatment, and rehabilitation strategies. The translational nature of the project, coupled with training in fundamental principles of scientific investigation, will promote continued success in my long-term goal to become an independent physician scientist.

Public Health Relevance

This project will study a new MRI-based technique for rapidly evaluating spinal cord injury severity. Using a rat model of spinal cord injury, we will assess the ability of this method to detect injury and predict recovery. This will improve planning of short-term and long-term treatment strategies to provide the best care possible to patients with this debilitating condition.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Predoctoral Individual National Research Service Award (F31)
Project #
5F31NS096958-02
Application #
9395798
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Jakeman, Lyn B
Project Start
2016-12-01
Project End
2020-11-30
Budget Start
2017-12-01
Budget End
2018-11-30
Support Year
2
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Medical College of Wisconsin
Department
Biophysics
Type
Schools of Medicine
DUNS #
937639060
City
Milwaukee
State
WI
Country
United States
Zip Code
53226
Budde, Matthew D; Skinner, Nathan P; Muftuler, L Tugan et al. (2017) Optimizing Filter-Probe Diffusion Weighting in the Rat Spinal Cord for Human Translation. Front Neurosci 11:706