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Related Experiment Video

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Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
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Quantifying Longitudinal Microstructural Changes in Mild Traumatic Brain Injury Patients with Mean Apparent

Mihika Gangolli1,2,3,4, Priyanka Nadar1,5, Luca Marinelli6

  • 1Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.

Journal of Neurotrauma
|September 10, 2025
PubMed
Summary
This summary is machine-generated.

Mean apparent propagator MRI (MAP-MRI) offers a sensitive method to detect subtle brain damage after mild traumatic brain injury (mTBI). This advanced imaging technique shows promise for tracking evolving microstructural changes in mTBI patients.

Keywords:
MRIbrain injurydiffusion anisotropydiffusion propagatorimaging biomarkerlongitudinalmTBIquantitative

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Area of Science:

  • Neuroimaging
  • Biomarkers
  • Medical Physics

Background:

  • Mild traumatic brain injury (mTBI) can cause subtle, yet significant, microstructural damage not detected by standard clinical scans.
  • Current diffusion MRI techniques have limitations in sensitivity and specificity for assessing mTBI-related tissue alterations.
  • Mean apparent propagator MRI (MAP-MRI) offers a more comprehensive assessment of tissue microstructure.

Purpose of the Study:

  • To investigate the sensitivity of MAP-MRI-derived quantitative imaging biomarkers in detecting previously undetected microstructural damage in mTBI patients.
  • To develop and validate an MAP-MRI data processing pipeline for analyzing longitudinal diffusion-weighted images.
  • To compare longitudinal tissue changes in mTBI patients with healthy controls.

Main Methods:

  • Developed and validated an MAP-MRI data processing pipeline for diffusion-weighted image analysis.
  • Utilized longitudinal scans from the GE/NFL/mTBI MRI database for healthy controls and mTBI patients.
  • Performed regional outlier analysis of longitudinal tissue changes over a 90-day observation period.

Main Results:

  • Several MAP-MRI-derived parameters exhibited increased intersession variability in white matter tracts and deep gray matter nuclei of mTBI patients compared to controls.
  • Longitudinal monitoring revealed evolving pathological changes in mTBI patients.
  • Current image-based biomarkers demonstrated insufficient sensitivity and specificity for predicting patient outcomes.

Conclusions:

  • Longitudinal monitoring of MAP-MRI metrics provides a comprehensive approach to studying evolving pathological changes in mTBI.
  • MAP-MRI shows potential for detecting subtle microstructural damage and tracking disease progression in mTBI.
  • This technique may offer improved sensitivity and specificity over current biomarkers for mTBI assessment and outcome prediction.