PDF(Pubmed)
Abstract：
UNASSIGNED: Functional constipation (FCon) is a common functional gastrointestinal disorder (FGID). Studies have indicated a higher likelihood of psychiatric disorders, such as anxiety, depression, sleep disturbances, and impaired concentration, among patients with FCon. However, the underlying pathophysiological mechanisms responsible for these symptoms in FCon patients remain to be fully elucidated. The human brain is a complex network architecture with several fundamental organizational properties. Neurological interactions between gut symptoms and psychiatric issues may be closely associated with these complex networks.
UNASSIGNED: In the present study, a total of 35 patients with FCon and 40 healthy controls (HC) were recruited for a series of clinical examinations and resting-state functional magnetic imaging (RS-fMRI). We employed the surface-based analysis (SBA) approach, utilizing the Schaefer cortical parcellation template and Tikhonov regularization. Graph theoretical analysis (GTA) and functional connectivity (FC) analysis of RS-fMRI were conducted to investigate the aberrant network alterations between the two groups. Additionally, correlation analyses were performed between the network indices and clinical variables in patients with FCon.
UNASSIGNED: At the global level, we found altered topological properties and networks in patients with FCon, mainly including the significantly increased clustering coefficient (CP), local efficiency (Eloc), and shortest path length (LP), whereas the decreased global efficiency (Eglob) compared to HC. At the regional level, patients with FCon exhibited increased nodal efficiency in the frontoparietal network (FPN). Furthermore, FC analysis demonstrated several functional alterations within and between the Yeo 7 networks, particularly including visual network (VN), limbic network (LN), default mode network (DMN), and somatosensory-motor network (SMN) in sub-network and large-scale network analysis. Correlation analysis revealed that there were no significant associations between the network metrics and clinical variables in the present study.
UNASSIGNED: These results highlight the altered topological architecture of functional brain networks associated with visual perception abilities, emotion regulation, sensorimotor processing, and attentional control, which may contribute to effectively targeted treatment modalities for patients with FCon.
UNASSIGNED: In the present study, a total of 35 patients with FCon and 40 healthy controls (HC) were recruited for a series of clinical examinations and resting-state functional magnetic imaging (RS-fMRI). We employed the surface-based analysis (SBA) approach, utilizing the Schaefer cortical parcellation template and Tikhonov regularization. Graph theoretical analysis (GTA) and functional connectivity (FC) analysis of RS-fMRI were conducted to investigate the aberrant network alterations between the two groups. Additionally, correlation analyses were performed between the network indices and clinical variables in patients with FCon.
UNASSIGNED: At the global level, we found altered topological properties and networks in patients with FCon, mainly including the significantly increased clustering coefficient (CP), local efficiency (Eloc), and shortest path length (LP), whereas the decreased global efficiency (Eglob) compared to HC. At the regional level, patients with FCon exhibited increased nodal efficiency in the frontoparietal network (FPN). Furthermore, FC analysis demonstrated several functional alterations within and between the Yeo 7 networks, particularly including visual network (VN), limbic network (LN), default mode network (DMN), and somatosensory-motor network (SMN) in sub-network and large-scale network analysis. Correlation analysis revealed that there were no significant associations between the network metrics and clinical variables in the present study.
UNASSIGNED: These results highlight the altered topological architecture of functional brain networks associated with visual perception abilities, emotion regulation, sensorimotor processing, and attentional control, which may contribute to effectively targeted treatment modalities for patients with FCon.
摘要：
■功能性便秘(FCon)是一种常见的功能性胃肠病(FGID)。研究表明，精神疾病的可能性更高，比如焦虑，抑郁症,睡眠障碍,注意力受损，在FCon患者中。然而,导致FCon患者出现这些症状的潜在病理生理机制仍有待完全阐明.人脑是一个复杂的网络体系结构，具有几个基本的组织特性。肠道症状和精神问题之间的神经相互作用可能与这些复杂的网络密切相关。
■在本研究中，我们共招募了35例FCon患者和40例健康对照(HC)进行了一系列临床检查和静息状态功能磁成像(RS-fMRI).我们采用了基于表面的分析(SBA)方法，利用Schaefer皮层切片模板和Tikhonov正则化。对RS-fMRI进行了图论分析（GTA）和功能连接（FC）分析，以研究两组之间的异常网络改变。此外,对FCon患者的网络指标和临床变量进行相关性分析.
■在全球范围内，我们发现FCon患者的拓扑特性和网络发生了改变，主要包括显著增加的聚类系数(CP)，本地效率(Eloc)，和最短路径长度(LP)，而与HC相比，全球效率(Eglob)下降。在区域一级，FCon患者的额顶网络(FPN)淋巴结效率增加.此外，FC分析显示了Yeo7网络内部和之间的几种功能变化，特别是包括视觉网络(VN)，边缘网络(LN)，默认模式网络(DMN)，子网络和大规模网络分析中的体感-运动网络(SMN)。相关性分析显示，在本研究中，网络指标与临床变量之间没有显着关联。
■这些结果突出了与视觉感知能力相关的功能性大脑网络的拓扑结构的改变，情绪调节,感觉运动处理，和注意力控制，这可能有助于FCon患者的有效靶向治疗方式。
■在本研究中，我们共招募了35例FCon患者和40例健康对照(HC)进行了一系列临床检查和静息状态功能磁成像(RS-fMRI).我们采用了基于表面的分析(SBA)方法，利用Schaefer皮层切片模板和Tikhonov正则化。对RS-fMRI进行了图论分析（GTA）和功能连接（FC）分析，以研究两组之间的异常网络改变。此外,对FCon患者的网络指标和临床变量进行相关性分析.
■在全球范围内，我们发现FCon患者的拓扑特性和网络发生了改变，主要包括显著增加的聚类系数(CP)，本地效率(Eloc)，和最短路径长度(LP)，而与HC相比，全球效率(Eglob)下降。在区域一级，FCon患者的额顶网络(FPN)淋巴结效率增加.此外，FC分析显示了Yeo7网络内部和之间的几种功能变化，特别是包括视觉网络(VN)，边缘网络(LN)，默认模式网络(DMN)，子网络和大规模网络分析中的体感-运动网络(SMN)。相关性分析显示，在本研究中，网络指标与临床变量之间没有显着关联。
■这些结果突出了与视觉感知能力相关的功能性大脑网络的拓扑结构的改变，情绪调节,感觉运动处理，和注意力控制，这可能有助于FCon患者的有效靶向治疗方式。
