Research progress in the evaluation of glymphatic system function by the DTI-ALPS method.
10.11817/j.issn.1672-7347.2023.230091
- Author:
Song WANG
1
;
Shanyi SUN
2
;
Hui LIU
3
;
Qing HUANG
4
Author Information
1. Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008. wangsong_1020@163.com.
2. Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008.
3. Department of Radiology, Xiangya Hospital, Central South University, Changsha 410008.
4. Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008. qinghuangstroke@csu.edu.cn.
- Publication Type:Journal Article
- Keywords:
cognitive impairment;
diffusion tensor imaging analysis along the perivascular space;
glymphatic system;
neuroimaging biomarkers
- MeSH:
Glymphatic System/diagnostic imaging*;
Diffusion Tensor Imaging;
Brain/diagnostic imaging*;
Central Nervous System;
Cognition
- From:
Journal of Central South University(Medical Sciences)
2023;48(8):1260-1266
- CountryChina
- Language:English
-
Abstract:
The glymphatic system can remove metabolic wastes from the brain, which plays a significant role in maintaining the homeostasis of the central nervous system. It is an important basis for advanced cognitive functions such as learning and memory. Studies have analyzed the function of glymphatic system by diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) recently. Compared with other invasive examinations that require fluorescent tracer technique or the injection of contrast agents, DTI-ALPS can evaluate the hydromechanics of the glymphatic system via quantifying the diffusion rate of water molecules in different directions, which turns out to be a non-invasive in vivo neuroimaging method. The ALPS-index calculated by the DTI-ALPS method is significantly correlated with the cognitive function in diseases of central nervous system and other system and can reflect the dynamic changes of diseases. In general, ALPS-index is expected to become a novel neuroimaging biomarker for predicting prognosis and clinical effects.
