Diffusion Kurtosis Imaging Detects Acute Microstructural Changes in White and Gray Matter after Alcohol Intoxication in Rat
- Xi-Ran Chen, Jie-Ying Zeng, Ling-Mei Kong, Wen-Bin Zheng
- Corresponding Author
- Xi-Ran Chen
Available Online January 2016.
- https://doi.org/10.2991/bst-16.2016.40How to use a DOI?
- Magnetic resonance imaging, Diffusion kurtosis imaging, Alcohol Intoxication, Rat brain.
- Diffusion kurtosis imaging (DKI) is an extension of Diffusion tensor imaging (DTI) but based on a non-gaussian diffusion model, allowing more comprehensive characterization of microstructural changes in the brain. The aim of this research was to test the technical feasibility to microstructural changes in the brain of rats with acute alcohol intoxication. Changes in DTI parameters and DKI parameters in the cerebral cortex and the thalamus were investigated in the acute alcohol intoxication rat models (n=25) at the acute (30 min) stages following ethyl alcohol (EtOH) administration. Fractional anisotropy (FA), mean diffusivity (MD) and mean kurtosis (MK) both show significant decrease in the cortex (FA: p=0.011, MD: p<0.01, MK: p<0.01). However, reduced MK and MD (p<0.01, all) observed in the thalamus while no change here observed with FA. HE staining revealed neurons in edema and disorder, proliferation but loss arrangement of nerve fibers and with some neurons displayed the changes of necrosis and apoptosis. These data demonstrate that DKI may be sensitive in tracking pathophysiological changes associated with acute alcohol intoxication and may provide additional information which may be missed by conventional DTI parameters along.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xi-Ran Chen AU - Jie-Ying Zeng AU - Ling-Mei Kong AU - Wen-Bin Zheng PY - 2016/01 DA - 2016/01 TI - Diffusion Kurtosis Imaging Detects Acute Microstructural Changes in White and Gray Matter after Alcohol Intoxication in Rat BT - The International Conference on Biological Sciences and Technology PB - Atlantis Press SN - 2468-5747 UR - https://doi.org/10.2991/bst-16.2016.40 DO - https://doi.org/10.2991/bst-16.2016.40 ID - Chen2016/01 ER -