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Altered resting-state functional networks in patients with premenstrual syndrome: a graph-theoretical based study
Brain Imaging and Behavior ( IF 2.4 ) Pub Date : 2021-08-21 , DOI: 10.1007/s11682-021-00518-4
Chengxiang Liu 1, 2 , Chunmei Xuan 3 , Jiayu Wu 1, 2 , Shasha Li 3 , Guang Yang 1, 2 , Ruiqing Piao 1, 2 , Gaoxiong Duan 3 , Demao Deng 4 , Peng Liu 1, 2
Affiliation  

Premenstrual syndrome (PMS) is a menstrual cycle-related disorder. Previous studies have indicated alterations of brain functional connectivity in PMS patients. However, little is known about the overall organization of brain network in PMS patients. Functional magnetic resonance imaging data deriving from 20 PMS patients and 21 healthy controls (HCs). Pearson correlation between mean time-series was used to estimate connectivity matrix between each paired regions of interest, and the connectivity matrix for each participant was then binarized. Graph theory analysis was applied to assess each participant’s global and local topological properties of brain functional network. Correlation analysis was performed to evaluate relationships between the daily rating of severity of problems (DRSP) and abnormal network properties. PMS patients had lower small-worldness values than HCs. PMS-related alterations of nodal properties were mainly found in the posterior cingulate cortex, precuneus and angular gyrus. The PMS-related abnormal connectivity components were mainly associated with the thalamus, putamen and middle cingulate cortex. In the PMS group, the DRSP score were negatively correlated with the area under the curves of nodal local efficiency in the posterior cingulate cortex. Our study suggests that the graph-theory method may be one potential tool to detect disruptions of brain connections and may provide important evidence for understanding the PMS from the disrupted network organization perspective.



中文翻译:

经前期综合征患者静息状态功能网络的改变:基于图论的研究

经前期综合征(PMS)是一种与月经周期相关的疾病。以前的研究表明 PMS 患者的大脑功能连接发生了变化。然而,人们对 PMS 患者大脑网络的整体组织知之甚少。来自 20 名 PMS 患者和 21 名健康对照 (HC) 的功能性磁共振成像数据。平均时间序列之间的 Pearson 相关性用于估计每对感兴趣区域之间的连接矩阵,然后对每个参与者的连接矩阵进行二值化。应用图论分析来评估每个参与者的大脑功能网络的全局和局部拓扑特性。进行相关性分析以评估问题严重性的每日评级 (DRSP) 与异常网络属性之间的关系。PMS 患者的小世界价值低于 HC。PMS 相关的淋巴结特性改变主要见于后扣带皮层、楔前叶和角回。PMS相关的异常连接成分主要与丘脑、壳核和中扣带皮层有关。在PMS组中,DRSP评分与后扣带皮层淋巴结局部效率曲线下面积呈负相关。我们的研究表明,图论方法可能是检测大脑连接中断的一种潜在工具,并可能为从中断的网络组织角度理解 PMS 提供重要证据。PMS相关的异常连接成分主要与丘脑、壳核和中扣带皮层有关。在PMS组中,DRSP评分与后扣带皮层淋巴结局部效率曲线下面积呈负相关。我们的研究表明,图论方法可能是检测大脑连接中断的一种潜在工具,并可能为从中断的网络组织角度理解 PMS 提供重要证据。PMS相关的异常连接成分主要与丘脑、壳核和中扣带皮层有关。在PMS组中,DRSP评分与后扣带皮层淋巴结局部效率曲线下面积呈负相关。我们的研究表明,图论方法可能是检测大脑连接中断的一种潜在工具,并可能为从中断的网络组织角度理解 PMS 提供重要证据。

更新日期:2021-08-21
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