Alterations in regional homogeneity of resting-state cerebral activity in patients with chronic prostatitis/chronic pelvic pain syndrome

The purpose of this study was to explore the neural mechanism in Chronic prostatitis/Chronic pelvic pain syndrome (CP/CPPS) using resting-state functional magnetic resonance imaging. The functional magnetic resonance imaging was performed on 31 male CP/CPPS-patients and 31 age and education matched male healthy controls on a 3-T magnetic resonance imaging unit. A two-sample t-test was adopted to reveal the regional homogeneity between the patients and healthy controls. The mean regional homogeneity values in the alerted brain regions of patients were correlated with the clinical measurements by using Pearson's correlation analyses. The CP/CPPS-patients had significantly decreased regional homogeneity in the bilateral anterior cingulate cortices, insular cortices and right medial prefrontal cortex, while significantly increased regional homogeneity in the brainstem and right thalamus compared with the healthy controls. In the CP/CPPS-patients, the mean regional homogeneity value in the left anterior cingulate cortex, bilateral insular cortices and brainstem were respectively correlated with the National Institutes of Health Chronic Prostatitis Symptom Index total score and pain subscale. These brain regions are important in the pain modulation process. Therefore, an impaired pain modulatory system, either by decreased descending pain inhibition or enhanced pain facilitation, may explain the pain symptoms in CP/CPPS.

PloS one. 2017 Sep 19*** epublish ***

Yusong Lin, Yan Bai, Peng Liu, Xuejuan Yang, Wei Qin, Jianqin Gu, Degang Ding, Jie Tian, Meiyun Wang

The Cooperative Innovation Center of Internet Healthcare & School of Software and Applied Technology, Zhengzhou University, Zhengzhou, China., Department of Radiology, Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, China., School of Life Sciences and Technology, Xidian University, Xian, China., Henan Provincial Clinical Big Data Analysis and Service Engineering Research Center, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China., Department of Urology, Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, China., Institute of Automation, Chinese Academy of Sciences, Beijing, China.