Abstract

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Title:: Brain functional network of pediatric patients with enuresis: a research based on independent component analysis

Author(s):: LIU Yue1; WANG Mengxing2; DU Xiaoxia3; ZHANG Anyi4; MA Jun4; HE Peizhong2; 1. School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China 2. College of Medical Imaging, Shanghai University of Medicine & Health Sciences, Shanghai 200237, China 3. School of Psychology, Shanghai University of Sport, Shanghai 200438, China 4. Department of Developmental-Behavioral Pediatrics, Shanghai Childrens Medical Center (Childrens National Medical Center), Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China

Keywords:: Keywords: enuresis independent component analysis brain functional network component functional connectivity

Abstract:: Abstract: Objective To study the connectivity of the brain functional network components in pediatric patients with primary monosymptomatic nocturnal enuresis (PMNE) using independent component analysis (ICA). Methods The brain functional magnetic resonance images of 35 PMNE children and 25 healthy children were collected in the study. ICA was used to obtain the brain functional network components of each subject. The functional connectivity strength between the brain functional network components of each subject was calculated, and the differences in functional connectivity strength between PMNE children and healthy controls were compared. Results Compared with those of control group, the functional connectivity between the right executive control network and the left executive control network, and the connectivity between the right executive control network and the default mode network of PMNE patients both showed abnormalities (FDR, P<0.05). Conclusion: There is abnormal connectivity between the components of the brain functional network in PMNE children, which may provide some new imaging evidence for understanding the pathological mechanism of PMNE.