Altered intrinsic functional brain architecture in patients with functional constipation: a surface-based network study
BackgroundFunctional 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 pathop...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-09-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2023.1241993/full |
| _version_ | 1797678702914437120 |
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| author | Xiang Yu Jingjie Yu Yuwei Li Jiying Cong Chao Wang Ran Fan Wanbing Wang Lige Zhou Chen Xu Yiming Li Yawu Liu Yawu Liu |
| author_facet | Xiang Yu Jingjie Yu Yuwei Li Jiying Cong Chao Wang Ran Fan Wanbing Wang Lige Zhou Chen Xu Yiming Li Yawu Liu Yawu Liu |
| author_sort | Xiang Yu |
| collection | DOAJ |
| description | BackgroundFunctional 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.MethodsIn 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.ResultsAt 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.ConclusionThese 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. |
| first_indexed | 2024-03-11T23:03:44Z |
| format | Article |
| id | doaj.art-8dd45a4b33a54870a1eb077b5161e664 |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-03-11T23:03:44Z |
| publishDate | 2023-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-8dd45a4b33a54870a1eb077b5161e6642023-09-21T13:59:12ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2023-09-011710.3389/fnins.2023.12419931241993Altered intrinsic functional brain architecture in patients with functional constipation: a surface-based network studyXiang Yu0Jingjie Yu1Yuwei Li2Jiying Cong3Chao Wang4Ran Fan5Wanbing Wang6Lige Zhou7Chen Xu8Yiming Li9Yawu Liu10Yawu Liu11Department of Radiology, Tianjin Union Medical Center, Tianjin, ChinaDepartment of Psychiatry and Psychology, Tianjin Union Medical Center, Tianjin, ChinaDepartment of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, ChinaDepartment of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, ChinaDepartment of Radiology, Tianjin Union Medical Center, Tianjin, ChinaDepartment of Radiology, Tianjin Union Medical Center, Tianjin, ChinaGraduate School of Tianjin Nankai University, Tianjin, ChinaGraduate School of Tianjin Medical University, Tianjin, ChinaDepartment of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, ChinaDepartment of Radiology, Tianjin Union Medical Center, Tianjin, ChinaDepartment of Neurology, University of Eastern Finland, Kuopio, FinlandDepartment of Clinical Radiology, Kuopio University Hospital, Kuopio, FinlandBackgroundFunctional 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.MethodsIn 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.ResultsAt 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.ConclusionThese 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.https://www.frontiersin.org/articles/10.3389/fnins.2023.1241993/fullfunctional constipationsurface-based analysisresting-state fMRIgraph theoretical analysisfunctional connectivity |
| spellingShingle | Xiang Yu Jingjie Yu Yuwei Li Jiying Cong Chao Wang Ran Fan Wanbing Wang Lige Zhou Chen Xu Yiming Li Yawu Liu Yawu Liu Altered intrinsic functional brain architecture in patients with functional constipation: a surface-based network study Frontiers in Neuroscience functional constipation surface-based analysis resting-state fMRI graph theoretical analysis functional connectivity |
| title | Altered intrinsic functional brain architecture in patients with functional constipation: a surface-based network study |
| title_full | Altered intrinsic functional brain architecture in patients with functional constipation: a surface-based network study |
| title_fullStr | Altered intrinsic functional brain architecture in patients with functional constipation: a surface-based network study |
| title_full_unstemmed | Altered intrinsic functional brain architecture in patients with functional constipation: a surface-based network study |
| title_short | Altered intrinsic functional brain architecture in patients with functional constipation: a surface-based network study |
| title_sort | altered intrinsic functional brain architecture in patients with functional constipation a surface based network study |
| topic | functional constipation surface-based analysis resting-state fMRI graph theoretical analysis functional connectivity |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2023.1241993/full |
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