Progressive network impairment in patients with chronic hepatitis B virus related cirrhosis: a combined resting-state functional MRI and diffusion tensor imaging study
10.3760/cma.j.cn112149-20211224-01140
- VernacularTitle:静息态功能MRI联合扩散张量成像研究慢性乙型肝炎相关肝硬化患者大脑网络的变化特点
- Author:
Shiwei LIN
1
;
Shengli CHEN
;
Xiaoshan LIN
;
Yingwei QIU
Author Information
1. 华中科技大学协和深圳医院放射科，深圳 518000
- Keywords:
Liver cirrhosis;
Hepatic encephalopathy;
Magnetic resonance imaging;
Neural networks
- From:
Chinese Journal of Radiology
2022;56(12):1339-1346
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the disease-related impairment of functional and structural connectivity network and their relationship with psychometric hepatic encephalopathy score (PHES) in patients with chronic hepatitis B virus-related cirrhosis (HBV-RC) by combining resting-state functional MRI (rs-fMRI) and diffusion tensor imaging (DTI).Methods:Data of 30 HBV-RC patients [including 13 HBV-RC patients with minimal hepatic encephalopathy (MHE) and 17 HBV-RC patients without MHE (NMHE)] from April 2011 to October 2011 in Guangdong No.2 People′s Hospital were analyzed prospectively, and 38 healthy individuals matched for age, sex, and education with HBV-RC patients (HC group) were included during the same period. Rs-fMR and DTI data as well as PHES data of all participants were collected. Gretna and PANDA software package were used to preprocess the imaging data and construct the functional and structural network respectively. The network-based statistic (NBS) approach was used to compare the differences of the functional and structural connections among three groups. Spearman′s correlation analysis was used to identify the relationship between functional or structural connectivity and PHES. The structural equation modeling (SEM) was used to explore the relationships among functional connectivity, structural connectivity, and PHES.Results:Compared to HC group, both functional and structural connectivity in the whole brain progressively destroyed from NMHE to MHE, mainly involving cognitive control network, default mode network, and limbic network (NBS corrected, all P<0.01). There were significantly negative relationships between functional or structural connectivity and PHES in HBV-RC patients (false discovery rate corrected, all P<0.05). The SEM results showed the influence of structural connectivity on neurocognitive impairment was mediated by functional connectivity ( P<0.05). Conclusion:Both functional and structural networks progressively destroy in HBV-RC patients as the disease advanced and these alterations significantly correlate with PHES. Besides, the influence of structural connectivity on neurocognitive impairment is mediated by functional connectivity.
