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Aberrant functional brain network dynamics in patients with functional constipation
Human Brain Mapping ( IF 3.5 ) Pub Date : 2021-09-17 , DOI: 10.1002/hbm.25663 Tao Yin 1, 2 , Zhaoxuan He 1, 2, 3 , Peihong Ma 1, 2 , Ruirui Sun 1, 2 , Kunnan Xie 1 , Tianyu Liu 4 , Li Chen 1, 2 , Jingwen Chen 1 , Likai Hou 5 , Yuke Teng 1, 2 , Yuyi Guo 1 , Zilei Tian 1, 2 , Jing Xiong 1 , Fumin Wang 1 , Shenghong Li 6 , Sha Yang 1, 2, 3 , Fang Zeng 1, 2
Human Brain Mapping ( IF 3.5 ) Pub Date : 2021-09-17 , DOI: 10.1002/hbm.25663 Tao Yin 1, 2 , Zhaoxuan He 1, 2, 3 , Peihong Ma 1, 2 , Ruirui Sun 1, 2 , Kunnan Xie 1 , Tianyu Liu 4 , Li Chen 1, 2 , Jingwen Chen 1 , Likai Hou 5 , Yuke Teng 1, 2 , Yuyi Guo 1 , Zilei Tian 1, 2 , Jing Xiong 1 , Fumin Wang 1 , Shenghong Li 6 , Sha Yang 1, 2, 3 , Fang Zeng 1, 2
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The aberrant static functional connectivity of brain network has been widely investigated in patients with functional constipation (FCon). However, the dynamics of brain functional connectivity in FCon patients remained unknown. This study aimed to detect the brain dynamics of functional connectivity states and network topological organizations of FCon patients and investigate the correlations of the aberrant brain dynamics with symptom severity. Eighty-three FCon patients and 80 healthy subjects (HS) were included in data analysis. The spatial group independent component analysis, sliding-window approach, k-means clustering, and graph-theoretic analysis were applied to investigate the dynamic temporal properties and coupling patterns of functional connectivity states, as well as the time-variation of network topological organizations in FCon patients. Four reoccurring functional connectivity states were identified in k-means clustering analysis. Compared to HS, FCon patients manifested the lower occurrence rate and mean dwell time in the state with a complex connection between default mode network and cognitive control network, as well as the aberrant anterior insula–cortical coupling patterns in this state, which were significantly correlated with the symptom severity. The graph-theoretic analysis demonstrated that FCon patients had higher sample entropy at the nodal efficiency of anterior insula than HS. The current findings provided dynamic perspectives for understanding the brain connectome of FCon and laid the foundation for the potential treatment of FCon based on brain connectomics.
中文翻译：
功能性便秘患者的功能性脑网络动力学异常
大脑网络异常的静态功能连接已在功能性便秘（FCon）患者中得到广泛研究。然而，FCon 患者大脑功能连接的动态仍然未知。本研究旨在检测FCon患者的功能连接状态和网络拓扑组织的大脑动态，并探讨异常的大脑动态与症状严重程度的相关性。数据分析包括 83 名 FCon 患者和 80 名健康受试者 (HS)。应用空间组独立成分分析、滑动窗口方法、k均值聚类和图论分析来研究功能连接状态的动态时间特性和耦合模式，以及网络拓扑组织的时间变化。 FCon 患者。 k 均值聚类分析中确定了四种重复出现的功能连接状态。与 HS 相比，FCon 患者在默认模式网络与认知控制网络之间存在复杂连接的状态下表现出较低的发生率和平均停留时间，以及该状态下异常的前岛叶皮质耦合模式，均显着相关随着症状的严重程度。图论分析表明，FCon 患者在前岛叶节点效率处的样本熵高于 HS 患者。目前的研究结果为理解FCon的脑连接组提供了动态视角，并为基于脑连接组的FCon的潜在治疗奠定了基础。
更新日期：2021-11-17
中文翻译：
功能性便秘患者的功能性脑网络动力学异常
大脑网络异常的静态功能连接已在功能性便秘（FCon）患者中得到广泛研究。然而，FCon 患者大脑功能连接的动态仍然未知。本研究旨在检测FCon患者的功能连接状态和网络拓扑组织的大脑动态，并探讨异常的大脑动态与症状严重程度的相关性。数据分析包括 83 名 FCon 患者和 80 名健康受试者 (HS)。应用空间组独立成分分析、滑动窗口方法、k均值聚类和图论分析来研究功能连接状态的动态时间特性和耦合模式，以及网络拓扑组织的时间变化。 FCon 患者。 k 均值聚类分析中确定了四种重复出现的功能连接状态。与 HS 相比，FCon 患者在默认模式网络与认知控制网络之间存在复杂连接的状态下表现出较低的发生率和平均停留时间，以及该状态下异常的前岛叶皮质耦合模式，均显着相关随着症状的严重程度。图论分析表明，FCon 患者在前岛叶节点效率处的样本熵高于 HS 患者。目前的研究结果为理解FCon的脑连接组提供了动态视角，并为基于脑连接组的FCon的潜在治疗奠定了基础。
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