Related Experiment Video
Updated: Nov 4, 2025
Development of an Uncomplicated Mild Traumatic Brain Injury Model Modified by Weight-Drop Method and Evidenced by Magnetic Resonance Imaging
Published on: April 11, 2025
MRI correlates of chronic symptoms in mild traumatic brain injury
Cailey I Kerley1, Kurt G Schilling2, Justin Blaber1
1Department of Electrical Engineering, Vanderbilt University.
Abstract:
Some veterans with a history of mild traumatic brain injury (mTBI) have reported experiencing auditory and visual dysfunction that persist beyond the acute phase of the incident. The etiology behind these symptoms is difficult to characterize, since mTBI is defined by negative imaging findings on current clinical imaging. There are several competing hypotheses that could explain functional deficits; one example is shear injury, which may manifest in diffusion-weighted magnetic resonance (MR) imaging (DWI). Herein, we explore this alternative hypothesis in a pilot study of multi-parametric MR imaging. Briefly, we consider a cohort of 8 mTBI patients relative to 22 control subjects using structural T1-weighted imaging (T1w) and connectivity with DWI. 1,344 metrics were extracted per subject from whole brain regions and connectivity patterns in sensory networks. For each set of imaging-derived metrics, the control subject metrics were embedded in a low-dimensional manifold with principal component analysis, after which mTBI subject metrics were projected into the same space. These manifolds were employed to train support vector machines (SVM) to classify subjects as controls or mTBI. Two of the SVMs trained achieved near-perfect accuracy averaged across four-fold cross-validation. Additionally, we present correlations between manifold dimensions and 22 self-reported mTBI symptoms and find that five principal components from the manifolds (one component from the T1w manifold and four components from the DWI manifold) are significantly correlated with symptoms (p<0.05, uncorrected). The novelty of this work is that the DWI and T1w imaging metrics seem to contain information critical for distinguishing between mTBI and control subjects. This work presents an analysis of the pilot phase of data collection of the Quantitative Evaluation of Visual and Auditory Dysfunction and Multi-Sensory Integration in Complex TBI Patients study and defines specific hypotheses to be tested in the full sample.
Insights
Mild traumatic brain injury (mTBI) can cause persistent auditory and visual issues. Advanced MRI techniques, including diffusion-weighted imaging (DWI), show promise in identifying subtle brain changes and correlating them with mTBI symptoms.
Area of Science:
- Neuroimaging
- Neurology
- Medical Imaging Analysis
Background:
- Mild traumatic brain injury (mTBI) often presents with persistent auditory and visual dysfunctions.
- The underlying causes of these chronic symptoms are challenging to identify due to negative findings in standard clinical imaging.
- Shear injury, potentially detectable via diffusion-weighted magnetic resonance (MR) imaging (DWI), is a proposed mechanism for functional deficits.
Purpose of the Study:
- To investigate the utility of multi-parametric MR imaging in detecting subtle abnormalities in mTBI patients.
- To explore the relationship between imaging-derived metrics and self-reported mTBI symptoms.
- To establish hypotheses for a larger study on visual and auditory dysfunction in mTBI.
Main Methods:
- A pilot study utilized structural T1-weighted imaging (T1w) and DWI in 8 mTBI patients and 22 controls.
- 1,344 imaging metrics were extracted from whole brain regions and sensory networks.
- Principal component analysis and support vector machines (SVM) were used to analyze data and classify subjects.
Main Results:
- Two SVM models achieved near-perfect accuracy in distinguishing mTBI patients from controls.
- Five principal components derived from T1w and DWI manifolds significantly correlated with self-reported mTBI symptoms.
- DWI and T1w imaging metrics demonstrated potential for differentiating mTBI from control groups.
Conclusions:
- Multi-parametric MRI, particularly DWI, holds promise for identifying objective biomarkers of mTBI.
- Imaging metrics can capture information related to functional deficits and symptoms post-mTBI.
- These findings support further investigation in a larger cohort to validate the diagnostic and correlative potential of advanced MRI techniques.
