Topological changes in white matter connectivity network in patients with Parkinson's disease and depression
Topological changes in white matter connectivity network in patients with Parkinson's disease and depression
复制标题
帕金森病和抑郁症患者白质连接网络的拓扑变化
DOI：
10.1007/s11682-019-00208-2
复制
发表时间：
2020-01-06
影响因子：
3.2
通讯作者：
Liu, Weiguo
中科院分区：
文献类型：
--
作者：
Hu, Xiao;Qian, Long;Liu, Weiguo
Depression is the most common non-motor symptom accompanying Parkinson's disease (PD) with high prevalence but unclear pathophysiological mechanism. Relatively little is known about the topological patterns of white matter structural networks in depressed patients with PD. In this study, we used diffusion-tensor imaging (DTI) and graph theory approaches to explore the brain structural connectome in non-depressed patients with PD (n = 47), depressed patients with PD (n = 20) and healthy controls (n = 46). All three groups exhibited small-world topology. Compared with healthy controls, non-depressed patients with PD and depressed patients with PD showed a significant reduction of network efficiency in the cortico-subcortical circuits. Moreover, depressed patients with PD exhibited higher network efficiency in fronto-limbic system, compared to non-depressed patients with PD. To sum up, our data indicated a disrupted integrity in the large-scale brain systems in depressed patients with PD patients. The structural connectome provided a basis for functional alterations in depressed patients with PD that may advance our current understanding of pathophysiological mechanism underlying Parkinson's disease.
