NYU Dataset

Scattering Approach to Diffusion Quantifies Axonal Damage in Brain Injury

Part of: Biophysics Group |
UID: 10763
* Corresponding Author
Description

This study demonstrated that time-dependent diffusion MRI can detect subtle axonal changes in brain injury by identifying structural signatures of diffusive dynamics of water along axons. Scattering theory reveal two parameters that determine the diffusive dynamics of water along axons: the average reciprocal cross-section and the variance of long-range cross-sectional fluctuations. This theoretical development allowed the research team to predict diffusion MRI metrics sensitive to axonal alterations over tens of thousands of axons in seconds rather than months of simulations in a male rat model of traumatic brain injury.

For the study, white matter (corpus callosum and cingulum) of five rat brains, two sham-operated rats and three rats with traumatic brain injury, was imaged using 3D electron microscopy. The images were acquired ipsilateral and contralateral to the site of injury, resulting in a total of 20 electron microscopy datasets. Each 3D electron microscopy dataset included thousands of myelinated axons that were evaluated individually to draw the statistical conclusions. In addition, an ex vivo time-dependent diffusion MRI experiment was conducted on two sham-operated rats and three rats with mild traumatic brain injury, sacrificed four weeks post-surgery, to experimentally validate the theoretical predications.

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Restrictions
Free to All
Instructions
Segmentation of white matter microstructure in 3D electron microscopy and axonal morphology and time-dependent diffusion MRI data in brain injury are publicly available at fairdata.fi. The source code of DeepACSON software, Monte Carlo simulator, and source code used to generate the results presented in the paper are publicly available at GitHub.
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Segmentation of white matter microstructure in 3D electron microscopy data

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Axonal morphology and time-dependent diffusion MRI data

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Source code of DeepACSON software

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Source code of Monte Carlo simulator

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Source code used to generate the results

Associated Publications
Data Type
Equipment Used
FEI Quanta 250 FEG
Software Used
DESIGNER v2
Microscopy Image Browser
Grant Support
Irma T. Hirschl Trust/Irma T. Hirschl Trust
360360/Research Council of Finland
323385/Research Council of Finland
361370/Research Council of Finland
358944/Research Council of Finland