Issue Archive

Quantitative analysis methods of white matter microstructure based on diffusion tensor imaging and its application in chronic pain research

LI Rui-Xiao, MU Jun-Ya, LIU Ji-Xin^*

College of Life Science and Technology, Xidian University, Xi’an 710126, China

Abstract

As the two essential components, the white matter and gray matter compose the central nervous system of the brain. Widely known that axons of neurons mainly form the white matter, and these formed nerve fibers are responsible for transmitting information among various brain regions to achieve the coordinated operation of the entire brain. Early research on the white matter could only be done by dissecting living animals or human cadavers, until Basser et al. proposed diffusion tensor imaging (DTI) technology in 1994, which could detect the diffusion characteristics of water in the brain in vivo noninvasively. Accordingly, this technology could be applied to investigate the diffusion movement of water in white matter to obtain the information of direction and micro-anatomy of white matter fiber bundles. With the advancement on the display and analysis of the anatomical structure of white matter fiber bundles, the exploration of microscopic pathological changes, and the assistance of clinical diagnosis and neurophysiological research, DTI technology has become one of the most popular topics in brain science research. Chronic pain refers to pain lasting more than three months, which not only seriously affects the patient’s physical and social functions, but also dramatically reduces the quality of life. It was reported that long-term pain stimulation might cause pathological remodeling of the central nervous system, and abnormalities in white matter were found in imaging examinations of patients with chronic pain. This review introduces the quantitative analysis methods of white matter fiber bundle microstructure based on DTI and its application in chronic pain, and further discusses the application value of DTI technology on clinical research of chronic pain.

Key words: diffusion tensor imaging; white matter; quantitative analysis method; chronic pain

Received: 2020-06-05　　Accepted: 2020-11-04

Corresponding author: 刘继欣　　E-mail: jymu@xidian.edu.cn

DOI: 10.13294/j.aps.2021.0030

Citing This Article：

LI Rui-Xiao, MU Jun-Ya, LIU Ji-Xin. Quantitative analysis methods of white matter microstructure based on diffusion tensor imaging and its application in chronic pain research. Acta Physiol Sin 2021; 73 (3): 407-422 (in Chinese with English abstract).