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Mamat M, Wang Z, Jin L, He K, Li L, Chen Y. Beyond nodes and edges: a bibliometric analysis on graph theory and neuroimaging modalities. Front Neurosci 2024; 18:1373264. [PMID: 38716254 PMCID: PMC11074400 DOI: 10.3389/fnins.2024.1373264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 04/08/2024] [Indexed: 07/18/2024] Open
Abstract
Understanding the intricate architecture of the brain through the lens of graph theory and advanced neuroimaging techniques has become increasingly pivotal in unraveling the complexities of neural networks. This bibliometric analysis explores the evolving landscape of brain research by focusing on the intersection of graph theoretical approaches, neuroanatomy, and diverse neuroimaging modalities. A systematic search strategy was used that resulted in the retrieval of a comprehensive dataset of articles and reviews. Using CiteSpace and VOSviewer, a detailed scientometric analysis was conducted that revealed emerging trends, key research clusters, and influential contributions within this multidisciplinary domain. Our review highlights the growing synergy between graph theory methodologies and neuroimaging modalities, reflecting the evolving paradigms shaping our understanding of brain networks. This study offers comprehensive insight into brain network research, emphasizing growth patterns, pivotal contributions, and global collaborative networks, thus serving as a valuable resource for researchers and institutions navigating this interdisciplinary landscape.
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Affiliation(s)
- Makliya Mamat
- School of Basic Medical Sciences, Health Science Center, Ningbo University, Ningbo, China
| | - Ziyan Wang
- School of Basic Medical Sciences, Health Science Center, Ningbo University, Ningbo, China
| | - Ling Jin
- School of Basic Medical Sciences, Health Science Center, Ningbo University, Ningbo, China
| | - Kailong He
- School of Basic Medical Sciences, Health Science Center, Ningbo University, Ningbo, China
| | - Lin Li
- Department of Human Anatomy, Nanjing Medical University, Nanjing, China
| | - Yiyong Chen
- School of Basic Medical Sciences, Health Science Center, Ningbo University, Ningbo, China
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Xueyan H, Qi A, Chunming S, Yu Z, Wencai W. Abnormalities of white matter network properties in middle-aged and elderly patients with functional constipation. Front Neurol 2024; 15:1357274. [PMID: 38601332 PMCID: PMC11004343 DOI: 10.3389/fneur.2024.1357274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 03/14/2024] [Indexed: 04/12/2024] Open
Abstract
Purpose To explore white matter network topological properties changes in middle-aged and elderly patients with functional constipation (Functional Constipation, FC) by diffusion tensor imaging (DTI), and to evaluate the correlation between the abnormal changes and clinical data. Methods 29 FC patients and 31 age- and sex-matched healthy controls (HC) were recruited. Magnetic resonance imaging and clinical data were collected. The white matter network changes in FC patients were analyzed using deterministic fiber tracking methods, graph theory algorithms, and partial correlation analysis with clinical data. Results The nodal clustering coefficient and nodal local efficiency of FC patients in the right orbital inferior frontal gyrus, right medial superior frontal gyrus, right rectus muscle, right hippocampus, left paracentral lobule and left temporal pole, and the nodal clustering coefficient in right orbital superior frontal gyrus, left cuneus lobe and right superior occipital gyrus, the nodal local efficiency in the right medial and paracingulate gyrus, right precuneus and right dorsolateral superior frontal gyrus of FC patients are lower than that of HC. The nodal local efficiency and clustering coefficient of FC patients in left hippocampus, left amygdala, right parietal inferior limbic angular gyrus and right angular gyrus, the nodal local efficiency in the right fusiform gyrus, left supplementary motor cortex and the nodal efficiency in the left lateral temporal gyrus and right orbital middle frontal gyrus (ORBmid.R) of FC patients are higher than that of HC. The nodal efficiency of ORBmid.R in FC was positively correlated with the Patient Assessment of Constipation quality of life questionnaire (PAC-QoL). Conclusion Middle-aged and elderly FC patients have differences in the nodal level properties in the limbic system, supplementary motor cortex, and default mode network brain regions, and the nodal efficiency of ORBmid.R was positively correlated with the PAC-QoL score, revealing that FC may be related to the abnormal processing of visceral sensorimotor in ORBmid.R and providing potential imaging diagnostic markers and therapeutic targets for middle-aged and elderly FC patients.
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Affiliation(s)
- Hou Xueyan
- Department of Radiology, Xinhua Hospital Affiliated to Dalian University, Dalian, Liaoning, China
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Ai Qi
- Department of Radiology, Xinhua Hospital Affiliated to Dalian University, Dalian, Liaoning, China
- Graduated School, Tianjin Medical University, Tianjin, China
| | - Song Chunming
- Department of Radiology, Xinhua Hospital Affiliated to Dalian University, Dalian, Liaoning, China
| | - Zhi Yu
- Pelvic Floor Center, Xinhua Hospital Affiliated to Dalian University, Dalian, Liaoning, China
| | - Weng Wencai
- Department of Radiology, Xinhua Hospital Affiliated to Dalian University, Dalian, Liaoning, China
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Zhou Z, Luo Y, Li K, Zhong S, Zhu Y, Yang H, Wang L, Chen S, Duan L, Gong F, Gong G, Zhu H, Pan H. Brain white matter alterations in young adult male patients with childhood-onset growth hormone deficiency: a diffusion tensor imaging study. Endocrine 2024; 83:724-732. [PMID: 37936007 DOI: 10.1007/s12020-023-03583-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 10/22/2023] [Indexed: 11/09/2023]
Abstract
PURPOSE This study aimed to detect white matter changes and different effects of thyroid hormone on the white matter integrity in young adult male patients with childhood-onset growth hormone deficiency (CO-GHD), compared with healthy people. METHODS Magnetic resonance imaging (structural imaging and diffusion tensor imaging) was performed in 17 young adult male patients with CO-GHD and 17 healthy male controls. The white matter volume, mean diffusivity (MD) values and fractional anisotropy (FA) values were quantified and compared between two groups (CO-GHD group vs. control group). We assessed the interaction effects between thyroid hormone and groups (CO-GHD group vs. control group) on white matter integrity. RESULTS Patients with CO-GHD exhibited similar white matter volumes compared with controls. However, compared with the controls, patients with CO-GHD showed a significant reduction in FA values in six clusters and a substantial increase in MD values in four clusters, mainly involving the corticospinal tracts, corpus callosum and so on. Moreover, after correcting for insulin-like growth factor-1 levels, the significant interaction effects between groups (CO-GHD group vs. control group) and serum free thyroxine levels on MD values were noted in three clusters, mainly involving in superior longitudinal fasciculus and sagittal stratum. CONCLUSION In conclusion, young males with CO-GHD showed white matter changes in multiple brain regions and different effects of thyroid hormone on the white matter integrity.
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Affiliation(s)
- Zhibo Zhou
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yunyun Luo
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Kang Li
- Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China
| | - Suyu Zhong
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
| | - Yanlin Zhu
- School of Arts and Communication, Beijing Normal University, Beijing, China
| | - Hongbo Yang
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Linjie Wang
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Shi Chen
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Lian Duan
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Fengying Gong
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Gaolang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Huijuan Zhu
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
| | - Hui Pan
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
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Cai W, Tian H, Sun P, Hua T, Gong J, Zhang R, Wan L, Gu G, Zhang H, Tang G, Chen Q, Zhang L. Regional homogeneity alterations in patients with functional constipation and their associations with gene expression profiles. Cereb Cortex 2024; 34:bhad403. [PMID: 37981661 DOI: 10.1093/cercor/bhad403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/24/2023] [Accepted: 09/25/2023] [Indexed: 11/21/2023] Open
Abstract
Functional constipation, a highly prevalent functional gastrointestinal disorder, often accompanies by mental and psychological disorders. Previous neuroimaging studies have demonstrated brain functional and structural alterations in patients with functional constipation. However, little is known about whether and how regional homogeneity is altered in these patients. Moreover, the potential genetic mechanisms associated with these alterations remain largely unknown. The study included 73 patients with functional constipation and 68 healthy controls, and regional homogeneity comparison was conducted to identify the abnormal spontaneous brain activities in patients with functional constipation. Using Allen Human Brain Atlas, we further investigated gene expression profiles associated with regional homogeneity alterations in functional constipation patients with partial least squares regression analysis applied. Compared with healthy controls, functional constipation patients demonstrated significantly decreased regional homogeneity in both bilateral caudate nucleus, putamen, anterior insula, thalamus and right middle cingulate cortex, supplementary motor area, and increased regional homogeneity in the bilateral orbitofrontal cortex. Genes related to synaptic signaling, central nervous system development, fatty acid metabolism, and immunity were spatially correlated with abnormal regional homogeneity patterns. Our findings showed significant regional homogeneity alterations in functional constipation patients, and the changes may be caused by complex polygenetic and poly-pathway mechanisms, which provides a new perspective on functional constipation's pathophysiology.
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Affiliation(s)
- Wangli Cai
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Hongliang Tian
- Department of Colorectal Disease, Intestinal Microenvironment Treatment Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Peiwen Sun
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Ting Hua
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Jian Gong
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Ruiling Zhang
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Lidi Wan
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Guoqing Gu
- Department of Nursing, Wuliqiao Street Community Health Service Center, Shanghai 200023, China
| | - Haiying Zhang
- Department of Radiology, Chongming Branch of Shanghai Tenth People's Hospital, Shanghai 202157, China
| | - Guangyu Tang
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Qiyi Chen
- Department of Colorectal Disease, Intestinal Microenvironment Treatment Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Lin Zhang
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
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Han IJ, Lee JE, Song HN, Baek IY, Choi J, Chung JW, Bang OY, Kim GM, Seo WK. Imaging and clinical predictors of acute constipation in patients with acute ischemic stroke. Front Neurosci 2023; 17:1263693. [PMID: 37781258 PMCID: PMC10534029 DOI: 10.3389/fnins.2023.1263693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 08/31/2023] [Indexed: 10/03/2023] Open
Abstract
Background Constipation symptoms are highly prevalent in acute ischemic stroke, but the clinical and neuroimaging predictors are unknown. This study aimed to identify lesions and clinical features associated with acute constipation. Methods Data from patients with acute ischemic stroke registered in a hospital-based stroke registry between January 2018 and December 2019 were analyzed. Clinical, laboratory, and imaging features were examined for associations with acute constipation. Using the topographic lesion on diffusion-weighted images, multivariate support vector regression-based lesion-symptom mapping (SVR-LSM) was conducted and compared between the non-constipation and acute constipation groups. Results A total of 256 patients (mean age 67 years, men: 64%) were included. Acute constipation was noted in 81 patients (32%). Initial stroke severity, represented by initial National Institutes of Health and Stroke Scale (NIHSS) scores, was associated with acute constipation. Laboratory parameters, including fibrin degradation products (FDP), fibrinogen, D-dimer, lipoprotein (a), and free fatty acid levels, also showed statistically significant differences between the non-constipation and constipation groups. FDP, D-dimer, and free fatty acid levels were independently associated with acute constipation in the logistic regression model after adjusting for initial NIHSS scores and potassium levels. SVR-LSM revealed that bilateral lesions in the precentral gyrus, insula, opercular part of the inferior frontal gyrus, the inferior parietal lobule, and lesions in the right middle frontal gyrus were significantly associated with acute constipation. The results were consistent after controlling for the initial NIHSS scores and poststroke potassium levels. When cardioembolic stroke subjects were excluded, the right insular and prefrontal cortex lesions lost their association with acute constipation. Conclusion Acute constipation symptoms after acute ischemic stroke are mainly related to bilateral lesions in the insula, precentral gyrus, postcentral gyrus, and inferior parietal lobule. Clinically important predictors of acute constipation include initial neurological severity and thromboembolic markers of stroke.
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Affiliation(s)
- I Joon Han
- Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Ji-Eun Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Ha-Na Song
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - In-Young Baek
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jongun Choi
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Jong-Won Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Oh Young Bang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Gyeong-Moon Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Woo-Keun Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
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Sasso JM, Ammar RM, Tenchov R, Lemmel S, Kelber O, Grieswelle M, Zhou QA. Gut Microbiome-Brain Alliance: A Landscape View into Mental and Gastrointestinal Health and Disorders. ACS Chem Neurosci 2023; 14:1717-1763. [PMID: 37156006 DOI: 10.1021/acschemneuro.3c00127] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2023] Open
Abstract
Gut microbiota includes a vast collection of microorganisms residing within the gastrointestinal tract. It is broadly recognized that the gut and brain are in constant bidirectional communication, of which gut microbiota and its metabolic production are a major component, and form the so-called gut microbiome-brain axis. Disturbances of microbiota homeostasis caused by imbalance in their functional composition and metabolic activities, known as dysbiosis, cause dysregulation of these pathways and trigger changes in the blood-brain barrier permeability, thereby causing pathological malfunctions, including neurological and functional gastrointestinal disorders. In turn, the brain can affect the structure and function of gut microbiota through the autonomic nervous system by regulating gut motility, intestinal transit and secretion, and gut permeability. Here, we examine data from the CAS Content Collection, the largest collection of published scientific information, and analyze the publication landscape of recent research. We review the advances in knowledge related to the human gut microbiome, its complexity and functionality, its communication with the central nervous system, and the effect of the gut microbiome-brain axis on mental and gut health. We discuss correlations between gut microbiota composition and various diseases, specifically gastrointestinal and mental disorders. We also explore gut microbiota metabolites with regard to their impact on the brain and gut function and associated diseases. Finally, we assess clinical applications of gut-microbiota-related substances and metabolites with their development pipelines. We hope this review can serve as a useful resource in understanding the current knowledge on this emerging field in an effort to further solving of the remaining challenges and fulfilling its potential.
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Affiliation(s)
- Janet M Sasso
- CAS, a division of the American Chemical Society, 2540 Olentangy River Rd, Columbus, Ohio 43202, United States
| | - Ramy M Ammar
- Bayer Consumer Health, R&D Digestive Health, Darmstadt 64295, Germany
| | - Rumiana Tenchov
- CAS, a division of the American Chemical Society, 2540 Olentangy River Rd, Columbus, Ohio 43202, United States
| | - Steven Lemmel
- CAS, a division of the American Chemical Society, 2540 Olentangy River Rd, Columbus, Ohio 43202, United States
| | - Olaf Kelber
- Bayer Consumer Health, R&D Digestive Health, Darmstadt 64295, Germany
| | - Malte Grieswelle
- Bayer Consumer Health, R&D Digestive Health, Darmstadt 64295, Germany
| | - Qiongqiong Angela Zhou
- CAS, a division of the American Chemical Society, 2540 Olentangy River Rd, Columbus, Ohio 43202, United States
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Guo J, Chen Y, Liu W, Huang L, Hu D, Lv Y, Kang H, Li N, Peng Y. Abnormal developmental trends of functional connectivity in young children with infantile esotropia. Front Neurosci 2022; 16:972882. [PMID: 36061605 PMCID: PMC9433796 DOI: 10.3389/fnins.2022.972882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 08/01/2022] [Indexed: 11/22/2022] Open
Abstract
Previous studies have shown that functional networks are present at birth and change dynamically throughout infancy and early childhood. However, the status of functional connectivity is still poorly understood in patients with infantile esotropia (IE). The aim of this study is to investigate the developmental trends of functional connectivity in patients with IE during a critical period of growth and development. A total of 17 patients with IE (9 males and 8 females; mean age: 3.36 ± 2.03 years, age range: 0.67–6.36 years) and 20 healthy subjects matched for age and gender were recruited and underwent resting-state functional magnetic resonance imaging. The whole-brain functional network connectivity was analyzed for the IE group and healthy control group. A general linear model was applied to assess the group-age interaction in terms of the functional connectivity. The discrepancy between the two groups in functional connectivity trajectories was also quantified across age and exhibited by the quadratic parabolic model. There were significant group-age interactions between the visual network and the default mode network, the visual network and the sensorimotor network, the limbic network and the default mode network, and within the limbic network in the functional connectivity. A U-shaped tendency across age, with an “inflection point” ranging from 3.1 to 4.0 years of age was exhibited in the difference between functional connectivity trajectories of the IE patients and normal controls. Abnormality in functional network connectivity could present in IE patients at birth, exhibiting aberrant developmental patterns over time. An abnormal functional network could reduce the ability of the cortex in visual information processing, further reactivating the subcortical visual information processing system, which is probably the pathogenesis of IE. Three to four years after birth is the critical time window for children with IE to establish normal network connections in the brain. Early surgery during this period may be helpful for affected children to have an opportunity to approach the normal development trajectory as early as possible.
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Affiliation(s)
- Jianlin Guo
- Department of Radiology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
| | - Yuanyuan Chen
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Wen Liu
- Department of Ophthalmology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
| | - Lijuan Huang
- Department of Ophthalmology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
- Department of Ophthalmology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Di Hu
- Department of Radiology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
| | - Yanqiu Lv
- Department of Radiology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
| | - Huiying Kang
- Department of Radiology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
| | - Ningdong Li
- Department of Ophthalmology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
- Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, China
- *Correspondence: Ningdong Li,
| | - Yun Peng
- Department of Radiology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
- Yun Peng,
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Alterations in functional connectivity and interactions in resting-state networks in female patients with functional constipation. Neurol Sci 2022; 43:6495-6504. [DOI: 10.1007/s10072-022-06275-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 07/09/2022] [Indexed: 10/17/2022]
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9
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Brain structural changes in regions within the salience network in patients with functional constipation. Brain Imaging Behav 2022; 16:1741-1748. [DOI: 10.1007/s11682-022-00648-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/01/2022] [Indexed: 11/02/2022]
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10
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Yin T, He Z, Ma P, Sun R, Xie K, Liu T, Chen L, Chen J, Hou L, Teng Y, Guo Y, Tian Z, Xiong J, Wang F, Li S, Yang S, Zeng F. Aberrant functional brain network dynamics in patients with functional constipation. Hum Brain Mapp 2021; 42:5985-5999. [PMID: 34533251 PMCID: PMC8596972 DOI: 10.1002/hbm.25663] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 08/25/2021] [Accepted: 09/06/2021] [Indexed: 12/17/2022] Open
Abstract
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.
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Affiliation(s)
- Tao Yin
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Zhaoxuan He
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Key Laboratory of Sichuan Province for Acupuncture and ChronobiologyChengduSichuanChina
| | - Peihong Ma
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Ruirui Sun
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Kunnan Xie
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Tianyu Liu
- School of SportChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Li Chen
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Jingwen Chen
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Likai Hou
- Sichuan Bayi Rehabilitation CenterChengduSichuanChina
| | - Yuke Teng
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Yuyi Guo
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Zilei Tian
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Jing Xiong
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Fumin Wang
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Shenghong Li
- State Key Laboratory of Southwestern Chinese Medicine Resources/Innovative Institute of Chinese Medicine and PharmacyChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Sha Yang
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Key Laboratory of Sichuan Province for Acupuncture and ChronobiologyChengduSichuanChina
| | - Fang Zeng
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
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