Graph theoretical analysis and independent component analysis of diabetic optic neuropathy: A resting‐state functional magnetic resonance imaging study
Aims This study aimed to investigate the resting‐state functional connectivity and topologic characteristics of brain networks in patients with diabetic optic neuropathy (DON). Methods Resting‐state functional magnetic resonance imaging scans were performed on 23 patients and 41 healthy control (HC)...
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Published in | CNS neuroscience & therapeutics Vol. 30; no. 3; pp. e14579 - n/a |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
John Wiley & Sons, Inc
01.03.2024
John Wiley and Sons Inc |
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Abstract | Aims
This study aimed to investigate the resting‐state functional connectivity and topologic characteristics of brain networks in patients with diabetic optic neuropathy (DON).
Methods
Resting‐state functional magnetic resonance imaging scans were performed on 23 patients and 41 healthy control (HC) subjects. We used independent component analysis and graph theoretical analysis to determine the topologic characteristics of the brain and as well as functional network connectivity (FNC) and topologic properties of brain networks.
Results
Compared with HCs, patients with DON showed altered global characteristics. At the nodal level, the DON group had fewer nodal degrees in the thalamus and insula, and a greater number in the right rolandic operculum, right postcentral gyrus, and right superior temporal gyrus. In the internetwork comparison, DON patients showed significantly increased FNC between the left frontoparietal network (FPN‐L) and ventral attention network (VAN). Additionally, in the intranetwork comparison, connectivity between the left medial superior frontal gyrus (MSFG) of the default network (DMN) and left putamen of auditory network was decreased in the DON group.
Conclusion
DON patients altered node properties and connectivity in the DMN, auditory network, FPN‐L, and VAN. These results provide evidence of the involvement of specific brain networks in the pathophysiology of DON.
Using independent component analysis and graph theoretical analysis to determine how brain networks altered in patients with diabetic optic neuropathy. |
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AbstractList | This study aimed to investigate the resting-state functional connectivity and topologic characteristics of brain networks in patients with diabetic optic neuropathy (DON).
Resting-state functional magnetic resonance imaging scans were performed on 23 patients and 41 healthy control (HC) subjects. We used independent component analysis and graph theoretical analysis to determine the topologic characteristics of the brain and as well as functional network connectivity (FNC) and topologic properties of brain networks.
Compared with HCs, patients with DON showed altered global characteristics. At the nodal level, the DON group had fewer nodal degrees in the thalamus and insula, and a greater number in the right rolandic operculum, right postcentral gyrus, and right superior temporal gyrus. In the internetwork comparison, DON patients showed significantly increased FNC between the left frontoparietal network (FPN-L) and ventral attention network (VAN). Additionally, in the intranetwork comparison, connectivity between the left medial superior frontal gyrus (MSFG) of the default network (DMN) and left putamen of auditory network was decreased in the DON group.
DON patients altered node properties and connectivity in the DMN, auditory network, FPN-L, and VAN. These results provide evidence of the involvement of specific brain networks in the pathophysiology of DON. Using independent component analysis and graph theoretical analysis to determine how brain networks altered in patients with diabetic optic neuropathy. This study aimed to investigate the resting-state functional connectivity and topologic characteristics of brain networks in patients with diabetic optic neuropathy (DON).AIMSThis study aimed to investigate the resting-state functional connectivity and topologic characteristics of brain networks in patients with diabetic optic neuropathy (DON).Resting-state functional magnetic resonance imaging scans were performed on 23 patients and 41 healthy control (HC) subjects. We used independent component analysis and graph theoretical analysis to determine the topologic characteristics of the brain and as well as functional network connectivity (FNC) and topologic properties of brain networks.METHODSResting-state functional magnetic resonance imaging scans were performed on 23 patients and 41 healthy control (HC) subjects. We used independent component analysis and graph theoretical analysis to determine the topologic characteristics of the brain and as well as functional network connectivity (FNC) and topologic properties of brain networks.Compared with HCs, patients with DON showed altered global characteristics. At the nodal level, the DON group had fewer nodal degrees in the thalamus and insula, and a greater number in the right rolandic operculum, right postcentral gyrus, and right superior temporal gyrus. In the internetwork comparison, DON patients showed significantly increased FNC between the left frontoparietal network (FPN-L) and ventral attention network (VAN). Additionally, in the intranetwork comparison, connectivity between the left medial superior frontal gyrus (MSFG) of the default network (DMN) and left putamen of auditory network was decreased in the DON group.RESULTSCompared with HCs, patients with DON showed altered global characteristics. At the nodal level, the DON group had fewer nodal degrees in the thalamus and insula, and a greater number in the right rolandic operculum, right postcentral gyrus, and right superior temporal gyrus. In the internetwork comparison, DON patients showed significantly increased FNC between the left frontoparietal network (FPN-L) and ventral attention network (VAN). Additionally, in the intranetwork comparison, connectivity between the left medial superior frontal gyrus (MSFG) of the default network (DMN) and left putamen of auditory network was decreased in the DON group.DON patients altered node properties and connectivity in the DMN, auditory network, FPN-L, and VAN. These results provide evidence of the involvement of specific brain networks in the pathophysiology of DON.CONCLUSIONDON patients altered node properties and connectivity in the DMN, auditory network, FPN-L, and VAN. These results provide evidence of the involvement of specific brain networks in the pathophysiology of DON. AimsThis study aimed to investigate the resting-state functional connectivity and topologic characteristics of brain networks in patients with diabetic optic neuropathy (DON).MethodsResting-state functional magnetic resonance imaging scans were performed on 23 patients and 41 healthy control (HC) subjects. We used independent component analysis and graph theoretical analysis to determine the topologic characteristics of the brain and as well as functional network connectivity (FNC) and topologic properties of brain networks.ResultsCompared with HCs, patients with DON showed altered global characteristics. At the nodal level, the DON group had fewer nodal degrees in the thalamus and insula, and a greater number in the right rolandic operculum, right postcentral gyrus, and right superior temporal gyrus. In the internetwork comparison, DON patients showed significantly increased FNC between the left frontoparietal network (FPN-L) and ventral attention network (VAN). Additionally, in the intranetwork comparison, connectivity between the left medial superior frontal gyrus (MSFG) of the default network (DMN) and left putamen of auditory network was decreased in the DON group.ConclusionDON patients altered node properties and connectivity in the DMN, auditory network, FPN-L, and VAN. These results provide evidence of the involvement of specific brain networks in the pathophysiology of DON. Aims This study aimed to investigate the resting‐state functional connectivity and topologic characteristics of brain networks in patients with diabetic optic neuropathy (DON). Methods Resting‐state functional magnetic resonance imaging scans were performed on 23 patients and 41 healthy control (HC) subjects. We used independent component analysis and graph theoretical analysis to determine the topologic characteristics of the brain and as well as functional network connectivity (FNC) and topologic properties of brain networks. Results Compared with HCs, patients with DON showed altered global characteristics. At the nodal level, the DON group had fewer nodal degrees in the thalamus and insula, and a greater number in the right rolandic operculum, right postcentral gyrus, and right superior temporal gyrus. In the internetwork comparison, DON patients showed significantly increased FNC between the left frontoparietal network (FPN‐L) and ventral attention network (VAN). Additionally, in the intranetwork comparison, connectivity between the left medial superior frontal gyrus (MSFG) of the default network (DMN) and left putamen of auditory network was decreased in the DON group. Conclusion DON patients altered node properties and connectivity in the DMN, auditory network, FPN‐L, and VAN. These results provide evidence of the involvement of specific brain networks in the pathophysiology of DON. Using independent component analysis and graph theoretical analysis to determine how brain networks altered in patients with diabetic optic neuropathy. |
Author | Wei, Qian Zou, Jie Kang, Min Xu, San‐Hua Shao, Yi Lin, Si‐Min Chen, Jun Liao, Xu‐Lin Yu, Yao Hu, Jin‐Yu Wei, Hong Ling, Qian |
AuthorAffiliation | 3 Department of Radiology Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University Xiamen Fujian China 4 Department of Ophthalmology The First Affiliated Hospital, Jiangxi Medical College, Nanchang University Nanchang Jiangxi China 6 Department of Ophthalmology Eye & ENT Hospital of Fudan University Shanghai China 2 Queen Mary School The Nanchang University Nanchang Jiangxi China 1 Department of Endocrine and Metabolic The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Jiangxi Branch of National Clinical Research Center for Metabolic Disease Nanchang Jiangxi China 5 Department of Ophthalmology and Visual Sciences The Chinese University of Hong Kong Hong Kong China |
AuthorAffiliation_xml | – name: 5 Department of Ophthalmology and Visual Sciences The Chinese University of Hong Kong Hong Kong China – name: 2 Queen Mary School The Nanchang University Nanchang Jiangxi China – name: 3 Department of Radiology Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University Xiamen Fujian China – name: 6 Department of Ophthalmology Eye & ENT Hospital of Fudan University Shanghai China – name: 4 Department of Ophthalmology The First Affiliated Hospital, Jiangxi Medical College, Nanchang University Nanchang Jiangxi China – name: 1 Department of Endocrine and Metabolic The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Jiangxi Branch of National Clinical Research Center for Metabolic Disease Nanchang Jiangxi China |
Author_xml | – sequence: 1 givenname: Qian orcidid: 0000-0002-1008-539X surname: Wei fullname: Wei, Qian organization: The Nanchang University – sequence: 2 givenname: Si‐Min surname: Lin fullname: Lin, Si‐Min organization: Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University – sequence: 3 givenname: San‐Hua surname: Xu fullname: Xu, San‐Hua organization: The First Affiliated Hospital, Jiangxi Medical College, Nanchang University – sequence: 4 givenname: Jie surname: Zou fullname: Zou, Jie organization: The First Affiliated Hospital, Jiangxi Medical College, Nanchang University – sequence: 5 givenname: Jun surname: Chen fullname: Chen, Jun organization: The First Affiliated Hospital, Jiangxi Medical College, Nanchang University – sequence: 6 givenname: Min surname: Kang fullname: Kang, Min organization: The First Affiliated Hospital, Jiangxi Medical College, Nanchang University – sequence: 7 givenname: Jin‐Yu surname: Hu fullname: Hu, Jin‐Yu organization: The First Affiliated Hospital, Jiangxi Medical College, Nanchang University – sequence: 8 givenname: Xu‐Lin surname: Liao fullname: Liao, Xu‐Lin organization: The Chinese University of Hong Kong – sequence: 9 givenname: Hong surname: Wei fullname: Wei, Hong organization: The First Affiliated Hospital, Jiangxi Medical College, Nanchang University – sequence: 10 givenname: Qian surname: Ling fullname: Ling, Qian organization: The First Affiliated Hospital, Jiangxi Medical College, Nanchang University – sequence: 11 givenname: Yi orcidid: 0000-0003-1571-2433 surname: Shao fullname: Shao, Yi email: freebee99@163.com organization: Eye & ENT Hospital of Fudan University – sequence: 12 givenname: Yao surname: Yu fullname: Yu, Yao email: 375135747@qq.com organization: The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi Clinical Research Center for Endocrine and Metabolic Disease, Jiangxi Branch of National Clinical Research Center for Metabolic Disease |
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Copyright | 2024 The Authors. published by John Wiley & Sons Ltd. 2024 The Authors. CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd. 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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Keywords | independent component analysis diabetic optic neuropathy graph theoretical analysis rs-fMRI |
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This study aimed to investigate the resting‐state functional connectivity and topologic characteristics of brain networks in patients with diabetic optic... This study aimed to investigate the resting-state functional connectivity and topologic characteristics of brain networks in patients with diabetic optic... AimsThis study aimed to investigate the resting-state functional connectivity and topologic characteristics of brain networks in patients with diabetic optic... Using independent component analysis and graph theoretical analysis to determine how brain networks altered in patients with diabetic optic neuropathy. |
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SubjectTerms | Alzheimer's disease Brain - diagnostic imaging Brain mapping Brain Mapping - methods Brain research Cerebrospinal fluid Diabetes Diabetes Mellitus Diabetic neuropathy diabetic optic neuropathy Disease Edema Efficiency Frontal gyrus Functional magnetic resonance imaging graph theoretical analysis Humans independent component analysis Ischemia Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical imaging Metabolism Nervous system Neural networks Neuroimaging Operculum Optic nerve Optic Nerve Diseases Optic neuropathy Original Pathogenesis Postcentral gyrus Principal components analysis Putamen rs‐fMRI Schizophrenia Software Sparsity Statistical analysis Superior temporal gyrus Temporal gyrus Time series |
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Title | Graph theoretical analysis and independent component analysis of diabetic optic neuropathy: A resting‐state functional magnetic resonance imaging study |
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