[1]王晓艳,王鹏程,宫鲁艺.轻微肝性脑病患者静息状态下脑功能小世界网络属性[J].中国医学物理学杂志,2020,37(3):385-390.[doi:DOI:10.3969/j.issn.1005-202X.2020.03.024]
　WANG Xiaoyan,WANG Pengcheng,GONG Luyi.Small-world network properties of resting-state brain functions in patients with minimal hepatic encephalopathy[J].Chinese Journal of Medical Physics,2020,37(3):385-390.[doi:DOI:10.3969/j.issn.1005-202X.2020.03.024]
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轻微肝性脑病患者静息状态下脑功能小世界网络属性()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
37
期数:
2020年第3期
页码:
385-390
栏目:
其他（激光医学等）
出版日期:
2020-03-25

文章信息/Info

Title:
Small-world network properties of resting-state brain functions in patients with minimal hepatic encephalopathy
文章编号:
1005-202X（2020）03-0385-06
作者:
王晓艳; 王鹏程; 宫鲁艺
山东第一医科大学（山东省医学科学院）放射学院， 山东 泰安 271016
Author(s):
WANG Xiaoyan;  WANG Pengcheng;  GONG Luyi
School of Radiology, Shandong First Medical University (Shandong Academy of Medical Sciences), Tai’an 271016, China
关键词:
轻微肝性脑病; 静息态功能磁共振; 小世界网络
Keywords:
Keywords: minimal hepatic encephalopathy;  resting-state functional magnetic resonance imaging;  small-world network
分类号:
R318；R742
DOI:
DOI:10.3969/j.issn.1005-202X.2020.03.024
文献标志码:
A
摘要:
目的：探讨轻微肝性脑病患者的脑功能网络是否具有小世界网络属性，并通过与健康志愿者比较来检验其脑功能网络的小世界网络属性是否显著改变，以期寻找轻微肝性脑病患者认知功能变化的潜在机制。方法：收集临床已经确诊的32名轻微肝性脑病患者、21名健康志愿者的人口学资料和静息态功能磁共振扫描bold数据。以网络稀疏度为阈值（取值范围为0.05~0.50，以0.05为步长）计算并分析轻微肝性脑病组和对照组的小世界网络参数γ、δ、λ、Cp、Lp以及ACp、ALp。结果：在所选取的网络稀疏度范围内，轻微肝性脑病组与对照组的脑功能网络均具有小世界拓扑属性。以AAL脑模板计算任意两区之间的皮尔森相关系数并对其绝对值进行Fisher-z变换可以发现两组的γ在0.30~0.40阈值范围内有显著的统计学差异（P<0.05）；δ、λ、Cp、Lp、ACp及ALp虽然没有统计学显著差异，但轻微肝性脑病组的相应小世界网络参数值均小于对照组。结论：与对照组相比，轻微肝性脑病患者的脑功能网络虽然具有小世界网络特性，但已经有向随机网络变化的趋势，说明轻微肝性脑病患者的脑功能网络已经遭到了破坏。
Abstract:
Abstract: Objective To explore whether the brain function network in patients with minimal hepatic encephalopathy (MHE) has small-world network properties and whether the small-world network properties of brain function network in MHE patients are significantly different from those in healthy volunteers, and to find out the potential mechanism of cognitive function changes in MHE patients. Methods The demographic data and resting-state functional magnetic resonance imaging (fMRI) bold data of 32 patients with clinically diagnosed MHE and 21 healthy volunteers were collected. The small-world network parameters including γ, δ, λ, Cp, Lp and ACp, ALp in MHE group and healthy control (NC) group were calculated and analyzed with network sparsity as the threshold, and the network sparsity ranged from 0.05 to 0.50, with a step length of 0.05. Results Within the selected network sparsity range, both the brain functional networks of MHE group and NC group had small-world topological properties. Pearson correlation coefficient between any two brain regions was calculated by AAL brain template, and the absolute value of the obtained Pearson correlation coefficient was processed by Fisher-z transform. It was found out that within the threshold range of 0.30 to 0.40, there were statistical differences between two groups (P<0.05). Although there was no statistical difference in the other parameters, the corresponding small-world network parameter values of MHE group were lower than those of NC group. Conclusion Although the brain function network of MHE patients has small-world network properties, the brain function network has a tendency to random networks, which indicates that the brain function network of MHE patients has been damaged.

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备注/Memo

备注/Memo:
【收稿日期】2019-10-25 【基金项目】山东省高等学校优秀科研项目（J17KA262）；泰安市科技引导计划项目（2019NS160） 【作者简介】王晓艳，博士，教授，主要从事功能磁共振及近红外成像在脑疾病中的研究，E-mail: xywjxc@126.com 【通信作者】王鹏程，博士，教授，主要从事医学影像技术研究，E-mail: xywang@tsmc.edu.cn
更新日期/Last Update: 2020-04-02