Research on Characteristic of Chronic Spontaneous Urticaria Based on Multiscale Entropy

Author:

Wang Shujuan1,Song Ping2,Ma Rong1,Wang Yanzhong34,Yu Bin2,Wang Min1,Wang Meiqi1,Shen Jihong1,Dai Yuntao1,Wang Yuming2ORCID,Xie Wanqing14ORCID

Affiliation:

1. College of Mathematical Sciences, Harbin Engineering University, Harbin 150001, China

2. Department of Dermatology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China

3. School of Population Health & Environmental Sciences, Faculty of Life Science and Medicine, King’s College London, London, UK

4. Suzhou Fanhan Information Technology Co., Ltd, China

Abstract

Chronic spontaneous urticaria (CSU) is a common skin disease which symptom is local pruritus and pain. In medicine, researchers take a certain point that the brain is the control center of CSU, but in previous experiments, the researchers found that cerebellum also had a certain effect on CSU. In order to find out the influence of CSU in the brain and cerebellum, we collected the brain resting-state fMRI data from 40 healthy controls and 32 CSU patients and used DPABI to preprocess. We calculated the entropy values of five scales by using multiscale entropy (MSE) and the average entropy values of two groups’ BOLD signals; 15 regions with significant differences were found which not only had a more detailed impact in the brain but also had an impact in the cerebellum, such as precentral gyrus, lenticular putamen, and vermis of cerebellum. In addition, we found that compared with the healthy controls, the entropy values of CSU patients showed two trends which need further study. The advantage of our experiment is that the multiscale entropy value is used to get more influence regions of CSU in the brain and cerebellum. The results of this paper may provide some help for the pathological study of CSU.

Funder

Fundamental Research Funds for the Central Universities

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine

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