文献类型：期刊文献

英文题名：Impaired Topological Architecture of Structural Brain Networks in Obstructive Sleep Apnea: A DTI Study

作者：Zhao, Yiwei[1,2];Shi, Xuerong[3];Shen, Guo[2,4];Zhang, Huiyan[2,4];Xu, Yanan[1,2];Gao, Jing[1,2];Zhao, Ziyang[3];Chen, Miao[3];Zhang, Wenwen[2];Huang, Gang[2];Yao, Zhijun[3];Zhao, Lianping[2]

第一作者：赵雅文;Zhao, Yiwei

通信作者：Zhao, LP[1];Yao, ZJ[2]

机构：[1]Gansu Univ Tradit Chinese Med, Gansu Prov Hosp, Clin Med Coll 1, Lanzhou 730000, Gansu, Peoples R China;[2]Gansu Prov Hosp, Dept Radiol, Lanzhou 730000, Peoples R China;[3]Lanzhou Univ, Sch Informat Sci & Engn, Gansu Prov Key Lab Wearable Comp, Lanzhou 730000, Peoples R China;[4]Ningxia Med Univ, Sch Clin Med, Yinchuan 750000, Peoples R China

第一机构：甘肃中医药大学

通信机构：[1]corresponding author), Gansu Prov Hosp, Dept Radiol, Lanzhou 730000, Peoples R China;[2]corresponding author), Lanzhou Univ, Sch Informat Sci & Engn, Gansu Prov Key Lab Wearable Comp, Lanzhou 730000, Peoples R China.

年份：2025

卷号：17

起止页码：3003

外文期刊名：NATURE AND SCIENCE OF SLEEP

收录：;Scopus(收录号：2-s2.0-105022465039);WOS:【SCI-EXPANDED(收录号:WOS:001619505100001)】；

基金：This work was supported by the National Natural Science Foundation of China (82360343) , the "Young Scholars in Western China" project of the Chinese Academy of Sciences (21JR7RA593) , key research and development program of Gansu province (23YFFA0048) , Project of Gansu administration of traditional Chinese medicine (GZKP-2020-36) .

语种：英文

外文关键词：obstructive sleep apnea; cognitive function; diffusion tensor imaging; network-based statistic; graph theory analysis; structural brain networks

摘要：Objective: Obstructive sleep apnea (OSA) has been associated with alterations in white-matter integrity. However, few studies have examined topological alterations of white-matter structural networks in OSA. We aimed to investigate alterations in brain structural networks in patients with OSA using diffusion tensor imaging (DTI) combined with the network-based statistic (NBS). Methods: Clinical, neuropsychological, and DTI data were collected from 77 patients with OSA and 83 healthy controls (HCs). DTI-based structural networks were established based on whole-brain probabilistic tractography. The inter-group difference in topological properties was compared. NBS analysis was performed to assess changes in network connectivity, and the correlation between topological properties and clinical variables was evaluated. Results: Graph theory analysis showed reduced betweenness centrality (BC) in the left dorsolateral superior frontal gyrus (SFGdor.L) and supplementary motor area (SMA.L) and reduced nodal efficiency (NE) of the SFGdor.L in patients with OSA. NBS analysis revealed abnormalities in a sub-network with 14 nodes, where positive connectivity was observed between individual nodes in patients with OSA. Pearson correlation analysis indicated that the BC of SMA.L was positively correlated with anxious (r = 0.242, P = 0.034) and cognitive (r = 0.252, P = 0.027) scores. Compared with HCs, Patients with OSA exhibited lower cognitive scores and higher levels of depression and anxiety. Conclusion: Our findings show alterations in BC and NE of the SFGdor.L and BC of the SMA.L that may reflect neurobiological features of white-matter network disruption in OSA and could represent potential imaging biomarkers of early cerebral involvement. These results are correlational and longitudinal studies are needed to determine temporal relationships and causal effects.