Analysis of brain structural network of patients with mild cognitive impairment based on DTI
10.13929/j.issn.1003-3289.2020.07.008
- VernacularTitle: 基于DTI数据分析轻度认知功能障碍患者脑结构网络
- Author:
Qili HU
1
Author Information
1. Department of Radiology, Shanghai Fifth People's Hospital, Fudan University
- Publication Type:Journal Article
- Keywords:
Cognition disorders;
Magnetic resonance imaging;
Small-worldness;
Structural network
- From:
Chinese Journal of Medical Imaging Technology
2020;36(7):986-990
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To construct brain structural network based on DTI data,so as to investigate whether the brain structural network of with mild cognitive impairment (MCI) patients has small-world property,also to observe the changes of relevant characteristic parameters. Methods: Brain DTI data of 26 MCI patients (MCI group) and 27 healthy elders (NC group) were collected. The images were preprocessed with PANDA software, and the cerebral cortex was divided into 90 regions using automated anatomical labeling (AAL) template. Diffusion tensor tractography was implemented using deterministic fiber tracing algorithm, and the white matter fiber connection network was constructed with the fiber number (FN) between 2 brain regions as the threshold T value. T value was set in the range of 1-5, step length was 1, then the characteristic parameters of the brain network at different T value were calculated, including average path length (Lp), aggregation coefficient (CP), global efficiency (Eglobal) and local efficiency (Elocal). The network was considered to be a small-world network if γ=C/Crand>1 and λ=L/Lrand≈1 (rand representing relative random networks) or δ=γ/λ>1 were satisfied. The differences of brain structural network characteristic parameters were compared between 2 groups. Results: When 1≤T≤5, MCI group and NC group both met the criteria of γ>1 and λ≈1; LP of MCI group were all higher than those of NC group (all P<0.05), no statistical difference of CP was found between 2 groups (all P>0.05). When 1≤T≤4, Eglobal of MCI group were all lower than those of NC group (all P<0.05), when T=2, Elocal of MCI group was lower than that of NC group (P<0.05). Conclusion: The brain structural network of MCI patients has small-world property, but its small-world characteristics are impaired.
