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Diffusion kurtosis imaging: An efficient tool for evaluating age-related changes in rat brains
Xue-Fang Han1, Zuo-Jun Geng1, Qing-Feng Zhu1
1Department of Radiology, the Second Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, P.R. China.
Brain and Behavior
|September 24, 2021
Summary
Diffusion Kurtosis Imaging (DKI) reveals age-related brain changes in rats. Mean kurtosis and kurtosis values showed parabolic changes with age, indicating DKI is effective for studying brain aging.
Area of Science:
- Neuroscience
- Biomedical Imaging
- Gerontology
Background:
- Aging is associated with structural and functional brain changes.
- Magnetic Resonance Imaging (MRI) techniques are crucial for in vivo brain studies.
- Diffusion Kurtosis Imaging (DKI) offers advanced insights into tissue microstructure.
Purpose of the Study:
- To evaluate age-related changes in rat brains using Diffusion Kurtosis Imaging (DKI).
- To assess the utility of DKI parameters in characterizing brain aging.
- To investigate laterality and regional differences in age-related brain alterations.
Main Methods:
- Sprague-Dawley (SD) rats underwent conventional MRI and DKI.
- Measured diffusion values included mean kurtosis (MK) and kurtosis (K⊥).
- Analyzed MK and K⊥ data across different age groups, brain regions, and hemispheres.
Main Results:
- No significant laterality was observed for MK or K⊥ in the cerebral cortex (CT), external capsule (EC), or caudate putamen (CPu).
- Significant age-related changes in MK and K⊥ were detected in both hemispheres across all studied brain regions.
- MK and K⊥ values exhibited a parabolic relationship with age in all analyzed brain regions.
Conclusions:
- DKI effectively detects age-related changes in the rat brain.
- No hemispheric laterality was found for DKI parameters in the studied regions.
- DKI is a promising tool for investigating brain aging processes in rodent models.

