乳酸性酸中毒
中间性中心性
聚类系数
复杂网络
症候群
静息状态功能磁共振成像
神经科学
医学
心脏病学
生物信息学
内科学
生物
线粒体肌病
线粒体DNA
中心性
计算机科学
遗传学
聚类分析
人工智能
基因
组合数学
万维网
数学
作者
Rong Wang,Jie Lin,Chong Sun,Bin Hu,Xueling Liu,Daoying Geng,Yuxin Li,Liqin Yang
标识
DOI:10.1016/j.nicl.2020.102480
摘要
Mitochondrial encephalomyopathy with lactic acidosis and stroke‐like episodes (MELAS) is a rare maternally inherited genetic disease; however, little is known about its underlying brain basis. Furthermore, the topological organization of brain functional network in MELAS has not been explored. Here, 45 patients with MELAS (22 at acute stage, 23 at chronic stage) and 22 normal controls were studied using resting- state functional magnetic resonance imaging and graph theory analysis approaches. Topological properties of brain functional networks including global and nodal metrics, rich club organization and modularity were analyzed. At the global level, MELAS patients exhibited reduced clustering coefficient, normalized clustering coefficient, normalized characteristic path length and local network efficiency compared with the controls. At the nodal level, several nodes with abnormal degree centrality and nodal efficiency were detected in MELAS patients, and the distribution of these nodes was partly consistent with the stroke-like lesions. For rich club organization, rich club nodes were reorganized and the connections among them were decreased in MELAS patients. Modularity analysis revealed that MELAS patents had altered intra- or inter-modular connections in default mode network, fronto-parietal network, sensorimotor network, occipital network and cerebellum network. Notably, the patients at acute stage showed more obvious changes in these topological properties than the patients at chronic stage. These findings indicated that MELAS patients, particularly those at acute stage, exhibited topological reorganization of the whole-brain functional network. This study may help us to understand the neuropathological mechanisms of MELAS.
科研通智能强力驱动
Strongly Powered by AbleSci AI