Small-world network properties of resting-state brain functions in patients with minimal hepatic encephalopathy(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2020年第3期
- Page:
- 385-390
- Research Field:
- 其他（激光医学等）
- Publishing date:
Info
- Title:
- Small-world network properties of resting-state brain functions in patients with minimal hepatic encephalopathy
- Author(s):
- WANG Xiaoyan; WANG Pengcheng; GONG Luyi
- School of Radiology, Shandong First Medical University (Shandong Academy of Medical Sciences), Tai’an 271016, China
- Keywords:
- Keywords: minimal hepatic encephalopathy; resting-state functional magnetic resonance imaging; small-world network
- PACS:
- R318；R742
- DOI:
- DOI:10.3969/j.issn.1005-202X.2020.03.024
- 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.
Last Update: 2020-04-02