Alternation of the Rich-Club Organization of Individual Brain Metabolic Networks in Parkinson’s Disease
ObjectiveThe diagnosis of Parkinson’s disease (PD) remains challenging. Although 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) has revealed the metabolic abnormalities associated with PD at systemic levels, the underlying rich-club organization of the metabolic connectome in th...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-07-01
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Series: | Frontiers in Aging Neuroscience |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2022.964874/full |
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author | Liling Peng Zhimin Zhang Xiaofeng Chen Xin Gao |
author_facet | Liling Peng Zhimin Zhang Xiaofeng Chen Xin Gao |
author_sort | Liling Peng |
collection | DOAJ |
description | ObjectiveThe diagnosis of Parkinson’s disease (PD) remains challenging. Although 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) has revealed the metabolic abnormalities associated with PD at systemic levels, the underlying rich-club organization of the metabolic connectome in these patients remains largely unknown.Materials and MethodsThe data of 49 PD patients and 49 well-matched healthy controls (HCs) were retrieved and assessed. An individual metabolic connectome based on the standard uptake value (SUV) was built using the Jensen-Shannon Divergence Similarity Estimation (JSSE) method to compare the rich-club properties between PD patients and HC.ResultsOur results showed the rich-club organization of metabolic networks (normalized rich-club coefficients > 1) in the PD and HC group were within a range of thresholds. Further, patients with PD demonstrated lower strength and degree in rich-club connections compared with HCs (strength: HCs = 55.70 ± 8.52, PDs = 52.03 ± 10.49, p = 0.028; degree: HCs = 56.55 ± 8.60, PDs = 52.85 ± 10.62, p = 0.029), but difference between their feeder and local connections was not significant.ConclusionIndividual metabolic networks combined with rich club analysis indicated that PD patients had decreased rich club connections but similar feeder and local connections compared with HCs, indicating rich club connections as a promising marker for early diagnosis of PD. |
first_indexed | 2024-12-11T18:35:21Z |
format | Article |
id | doaj.art-921c10cac15a4538931bd456860cbc65 |
institution | Directory Open Access Journal |
issn | 1663-4365 |
language | English |
last_indexed | 2024-12-11T18:35:21Z |
publishDate | 2022-07-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Aging Neuroscience |
spelling | doaj.art-921c10cac15a4538931bd456860cbc652022-12-22T00:54:46ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652022-07-011410.3389/fnagi.2022.964874964874Alternation of the Rich-Club Organization of Individual Brain Metabolic Networks in Parkinson’s DiseaseLiling Peng0Zhimin Zhang1Xiaofeng Chen2Xin Gao3Shanghai Universal Medical Imaging Diagnostic Center, Shanghai, ChinaDepartment of Blood Transfusion, Xiangya Hospital, Central South University, Changsha, ChinaCollege of Mathematics and Statistics, Chongqing Jiaotong University, Chongqing, ChinaShanghai Universal Medical Imaging Diagnostic Center, Shanghai, ChinaObjectiveThe diagnosis of Parkinson’s disease (PD) remains challenging. Although 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) has revealed the metabolic abnormalities associated with PD at systemic levels, the underlying rich-club organization of the metabolic connectome in these patients remains largely unknown.Materials and MethodsThe data of 49 PD patients and 49 well-matched healthy controls (HCs) were retrieved and assessed. An individual metabolic connectome based on the standard uptake value (SUV) was built using the Jensen-Shannon Divergence Similarity Estimation (JSSE) method to compare the rich-club properties between PD patients and HC.ResultsOur results showed the rich-club organization of metabolic networks (normalized rich-club coefficients > 1) in the PD and HC group were within a range of thresholds. Further, patients with PD demonstrated lower strength and degree in rich-club connections compared with HCs (strength: HCs = 55.70 ± 8.52, PDs = 52.03 ± 10.49, p = 0.028; degree: HCs = 56.55 ± 8.60, PDs = 52.85 ± 10.62, p = 0.029), but difference between their feeder and local connections was not significant.ConclusionIndividual metabolic networks combined with rich club analysis indicated that PD patients had decreased rich club connections but similar feeder and local connections compared with HCs, indicating rich club connections as a promising marker for early diagnosis of PD.https://www.frontiersin.org/articles/10.3389/fnagi.2022.964874/fullmetabolic brain networkFDG-PETrich clubJS divergenceParkinson’s disease |
spellingShingle | Liling Peng Zhimin Zhang Xiaofeng Chen Xin Gao Alternation of the Rich-Club Organization of Individual Brain Metabolic Networks in Parkinson’s Disease Frontiers in Aging Neuroscience metabolic brain network FDG-PET rich club JS divergence Parkinson’s disease |
title | Alternation of the Rich-Club Organization of Individual Brain Metabolic Networks in Parkinson’s Disease |
title_full | Alternation of the Rich-Club Organization of Individual Brain Metabolic Networks in Parkinson’s Disease |
title_fullStr | Alternation of the Rich-Club Organization of Individual Brain Metabolic Networks in Parkinson’s Disease |
title_full_unstemmed | Alternation of the Rich-Club Organization of Individual Brain Metabolic Networks in Parkinson’s Disease |
title_short | Alternation of the Rich-Club Organization of Individual Brain Metabolic Networks in Parkinson’s Disease |
title_sort | alternation of the rich club organization of individual brain metabolic networks in parkinson s disease |
topic | metabolic brain network FDG-PET rich club JS divergence Parkinson’s disease |
url | https://www.frontiersin.org/articles/10.3389/fnagi.2022.964874/full |
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