To investigate the whole functional brain networks of active Cushing disease (CD) patients about topological parameters (small world and rich club et al.) and compared with healthy control (NC). Nineteen active CD patients and twenty-two healthy control subjects, matched in age, gender, and education, underwent resting-state fMRI. Graph theoretical analysis was used to calculate the functional brain network organizations for all participants, and those for active CD patients were compared for and NCs. Active CD patients revealed higher global efficiency, shortest path length and reduced cluster efficiency compared with healthy control. Additionally, small world organization was present in active CD patients but higher than healthy control. Moreover, rich club connections, feeder connections and local connections were significantly decreased in active CD patients. Functional network properties appeared to be disrupted in active CD patients compared with healthy control. Analyzing the changes that lead to abnormal network metrics will improve our understanding of the pathophysiological mechanisms underlying CD.
基金:
National Natural Science Foundation of China General Projects [81270856, 81770779, 81501467]
第一作者机构:[1]Shanghai Jiao Tong Univ, Rui Jin Hosp, Dept Neurosurg, Sch Med, Shanghai 200025, Peoples R China
共同第一作者:
通讯作者:
通讯机构:[1]Shanghai Jiao Tong Univ, Rui Jin Hosp, Dept Neurosurg, Sch Med, Shanghai 200025, Peoples R China[3]Shanghai Jiao Tong Univ, Rui Jin Lu Wan Hosp, Dept Neurosurg, Sch Med, Shanghai 200025, Peoples R China
推荐引用方式(GB/T 7714):
Xu Can-Xin,Jiang Hong,Zheng Rui-Zhe,et al.Impaired brain network architecture in Cushing's disease based on graph theoretical analysis[J].AGING-US.2020,12(6):5168-5182.doi:10.18632/aging.102939.
APA:
Xu, Can-Xin,Jiang, Hong,Zheng, Rui-Zhe,Sun, Yu-Hao,Sun, Qing-Fang&Bian, Liu-Guan.(2020).Impaired brain network architecture in Cushing's disease based on graph theoretical analysis.AGING-US,12,(6)
MLA:
Xu, Can-Xin,et al."Impaired brain network architecture in Cushing's disease based on graph theoretical analysis".AGING-US 12..6(2020):5168-5182