Brain Regional Homogeneity Changes in Cirrhotic Patients with or without Hepatic Encephalopathy Revealed by Multi-Frequency Bands Analysis Based on Resting-State Functional MRI

被引:12
作者
Zhang, Gaoyan [1 ]
Cheng, Yue [2 ]
Shen, Wen [2 ]
Liu, Baolin [1 ,3 ]
Huang, Lixiang [2 ]
Xie, Shuangshuang [2 ]
机构
[1] Tianjin Univ, Sch Comp Sci & Technol, Tianjin Key Lab Cognit Comp & Applicat, Tianjin 300350, Peoples R China
[2] Tianjin First Cent Hosp, Dept Radiol, Fukang Rd 24, Tianjin 300192, Peoples R China
[3] Tsinghua Univ, Natl Lab Informat Sci & Technol, State Key Lab Intelligent Technol & Syst, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Hepatic encephalopathy; Frequency-dependent; Regional homogeneity (ReHo); Resting-state functional MRI; Brain; Liver cirrhosis; HBV-RELATED CIRRHOSIS; LIVER-TRANSPLANTATION; MAGNETIC-RESONANCE; OSCILLATIONS; FMRI;
D O I
10.3348/kjr.2018.19.3.452
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objective: To investigate brain regional homogeneity (ReHo) changes of multiple sub-frequency bands in cirrhotic patients with or without hepatic encephalopathy using resting-state functional MRI. Materials and Methods: This study recruited 46 cirrhotic patients without clinical hepatic encephalopathy (noHE), 38 cirrhotic patients with clinical hepatic encephalopathy (HE), and 37 healthy volunteers. ReHo differences were analyzed in slow-5 (0.010-0.027 Hz), slow-4 (0.027-0.073 Hz), and slow-3 (0.073-0.198 Hz) bands. Routine analysis of (0.010-0.080 Hz) band was used as a benchmark. Associations of abnormal ReHo values in each frequency band with neuropsychological scores and blood ammonia level were analyzed. Pattern classification analyses were conducted to determine whether ReHo differences in each band could differentiate the three groups of subjects (patients with or without hepatic encephalopathy and healthy controls). Results: Compared to routine analysis, more differences between HE and noHE were observed in slow-5 and slow-4 bands (p < 0.005, cluster > 12, overall corrected p < 0.05). Sub-frequency band analysis also showed that ReHo abnormalities were frequency-dependent (overall corrected p < 0.05). In addition, ReHo abnormalities in each sub-band were correlated with blood ammonia level and neuropsychological scores, especially in the left inferior parietal lobe (overall corrected p < 0.05 for all frequency bands). Pattern classification analysis demonstrated that ReHo differences in lower slow-5 and slow-4 bands (both p < 0.05) and higher slow-3 band could differentiate the three groups (p < 0.05). Compared to routine analysis, ReHo features in slow-4 band obtained better classification accuracy (89%). Conclusion: Cirrhotic patients showed frequency-dependent changes in ReHo. Sub-frequency band analysis is important for understanding HE and clinical monitoring.
引用
收藏
页码:452 / 462
页数:11
相关论文
共 28 条
[21]   Frequency-Dependent Modulation of Regional Synchrony in the Human Brain by Eyes Open and Eyes Closed Resting-States [J].
Song, Xiaopeng ;
Zhou, Shuqin ;
Zhang, Yi ;
Liu, Yijun ;
Zhu, Huaiqiu ;
Gao, Jia-Hong .
PLOS ONE, 2015, 10 (11)
[22]   Frequency Specificity of Regional Homogeneity in the Resting-State Human Brain [J].
Song, Xiaopeng ;
Zhang, Yi ;
Liu, Yijun .
PLOS ONE, 2014, 9 (01)
[23]   Frequency-Dependent Brain Regional Homogeneity Alterations in Patients with Mild Cognitive Impairment during Working Memory State Relative to Resting State [J].
Wang, Pengyun ;
Li, Rui ;
Yu, Jing ;
Huang, Zirui ;
Li, Juan .
FRONTIERS IN AGING NEUROSCIENCE, 2016, 8
[24]   DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging [J].
Yan, Chao-Gan ;
Wang, Xin-Di ;
Zuo, Xi-Nian ;
Zang, Yu-Feng .
NEUROINFORMATICS, 2016, 14 (03) :339-351
[25]   Regional homogeneity approach to fMRI data analysis [J].
Zang, YF ;
Jiang, TZ ;
Lu, YL ;
He, Y ;
Tian, LX .
NEUROIMAGE, 2004, 22 (01) :394-400
[26]   The short-term effect of liver transplantation on the low-frequency fluctuation of brain activity in cirrhotic patients with and without overt hepatic encephalopathy [J].
Zhang, Gaoyan ;
Cheng, Yue ;
Shen, Wen ;
Liu, Baolin ;
Huang, Lixiang ;
Xie, Shuangshuang .
BRAIN IMAGING AND BEHAVIOR, 2017, 11 (06) :1849-1861
[27]   Abnormalities of voxel-based whole-brain functional connectivity patterns predict the progression of hepatic encephalopathy [J].
Zhang, Gaoyan ;
Cheng, Yue ;
Liu, Baolin .
BRAIN IMAGING AND BEHAVIOR, 2017, 11 (03) :784-796
[28]   The oscillating brain: Complex and reliable [J].
Zuo, Xi-Nian ;
Di Martino, Adriana ;
Kelly, Clare ;
Shehzad, Zarrar E. ;
Gee, Dylan G. ;
Klein, Donald F. ;
Castellanos, F. Xavier ;
Biswal, Bharat B. ;
Milham, Michael P. .
NEUROIMAGE, 2010, 49 (02) :1432-1445