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Modeling glymphatic system of the brain using MRI
Esmaeil Davoodi-Bojd1, Guangliang Ding2, Li Zhang2
1Department of Neurology, Henry Ford Health System, Detroit, MI, USA; Department of Radiology, Henry Ford Health System, Detroit, MI, USA.
Neuroimage
|December 23, 2018
Summary
This study models the brain's glymphatic system using MRI and mathematical analysis. Diabetic rats show impaired waste clearance, suggesting a link between diabetes and neurodegeneration.
Area of Science:
- Neuroscience
- Biophysics
- Medical Imaging
Background:
- The glymphatic system clears waste from the brain via cerebrospinal fluid (CSF) and interstitial fluid (ISF) exchange.
- Impaired glymphatic function is implicated in neurodegenerative diseases.
- Quantitative mathematical models of the glymphatic system are scarce.
Purpose of the Study:
- To quantitatively model the glymphatic system using MRI-derived Gd-DTPA tracer kinetics.
- To map the glymphatic system's pathways and derive kinetic parameters.
- To generate functional and structural maps of the glymphatic system.
Main Methods:
- Clustering brain regions based on MRI contrast agent density profiles.
- Applying a two-compartment kinetic model to regional brain data.
- Fitting the model to local cerebral regions rather than whole-brain averaged signals.
Main Results:
- Distinct kinetic parameter differences were observed between diabetes mellitus (DM) and control rats.
- DM rats exhibited reduced CSF bulk flow speed in the para-vasculature network.
- Quantitative maps indicated altered binding and absorption of large molecules in diabetic brains.
Conclusions:
- The developed regional modeling approach provides quantitative glymphatic system maps from MRI.
- Diabetes mellitus significantly impacts glymphatic system function, potentially contributing to neurodegeneration.
- This quantitative mapping offers insights into glymphatic dysfunction in disease states.
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