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Published on: August 14, 2019
Diffusion Tensor Imaging Correlates of Concussion Related Cognitive Impairment
Angelica C Gonzalez1, Minseon Kim1, Zafer Keser1
1Department of Neurology, University of Texas McGovern Medical School, Houston, TX, United States.
Diffusion tensor imaging (DTI) revealed specific white matter changes associated with cognitive impairment after concussion. These findings may help predict persistent cognitive deficits and guide future interventions for concussion patients.
Area of Science:
- Neuroimaging
- Neurology
- Radiology
Background:
- Cognitive impairment is a common consequence of concussion.
- Currently, no reliable imaging biomarkers exist to predict the severity of post-concussion cognitive decline.
Purpose of the Study:
- To test the hypothesis that diffusion tensor imaging (DTI) metrics are associated with cognitive performance in patients with persistent post-concussion symptoms.
- To identify specific DTI variables that correlate with scores on the Montreal Cognitive Assessment (MoCA).
Main Methods:
- Fifty-three subjects with concussion and persistent cognitive symptoms underwent MRI and MoCA testing.
- Atlas-based, whole-brain DTI and FLAIR lesion segmentation were performed.
- Random forest recursive feature elimination (RFE) with cross-validation and partial correlation (adjusted for age and lesion load) were used to analyze DTI variables and MoCA scores.
Main Results:
- Eleven DTI variables were identified as significant predictors of MoCA scores.
- Significant correlations were found between MoCA scores and DTI metrics in right fronto-temporal regions, including mean diffusivity (MD) in the inferior temporal gyrus, middle temporal gyrus, and angular gyrus, and fractional anisotropy (FA) in the inferior frontal gyrus.
Conclusions:
- This study is the first to demonstrate a correlation between MoCA scores and DTI variables in individuals with a history of concussion and persistent cognitive impairment.
- These findings enhance the understanding of persistent cognitive changes after concussion and may aid in predicting impairment and developing new interventions.
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