Disrupted metabolic connectivity in dopaminergic and cholinergic networks at different stages of dementia from 18F-FDG PET brain persistent homology network

Abstract Dementia is related to the cellular accumulation of β-amyloid plaques, tau aggregates, or α-synuclein aggregates, or to neurotransmitter deficiencies in the dopaminergic and cholinergic pathways. Cellular and neurochemical changes are both involved in dementia pathology. However, the role o...

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Autores principales:	Tun-Wei Hsu, Jong-Ling Fuh, Da-Wei Wang, Li-Fen Chen, Chia-Jung Chang, Wen-Sheng Huang, Hsiu-Mei Wu, Wan-Yuo Guo
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/92a1a544d3d8466c8e8172363f08a084
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spelling	oai:doaj.org-article:92a1a544d3d8466c8e8172363f08a0842021-12-02T15:54:13ZDisrupted metabolic connectivity in dopaminergic and cholinergic networks at different stages of dementia from 18F-FDG PET brain persistent homology network10.1038/s41598-021-84722-82045-2322https://doaj.org/article/92a1a544d3d8466c8e8172363f08a0842021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84722-8https://doaj.org/toc/2045-2322Abstract Dementia is related to the cellular accumulation of β-amyloid plaques, tau aggregates, or α-synuclein aggregates, or to neurotransmitter deficiencies in the dopaminergic and cholinergic pathways. Cellular and neurochemical changes are both involved in dementia pathology. However, the role of dopaminergic and cholinergic networks in metabolic connectivity at different stages of dementia remains unclear. The altered network organisation of the human brain characteristic of many neuropsychiatric and neurodegenerative disorders can be detected using persistent homology network (PHN) analysis and algebraic topology. We used 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) imaging data to construct dopaminergic and cholinergic metabolism networks, and used PHN analysis to track the evolution of these networks in patients with different stages of dementia. The sums of the network distances revealed significant differences between the network connectivity evident in the Alzheimer’s disease and mild cognitive impairment cohorts. A larger distance between brain regions can indicate poorer efficiency in the integration of information. PHN analysis revealed the structural properties of and changes in the dopaminergic and cholinergic metabolism networks in patients with different stages of dementia at a range of thresholds. This method was thus able to identify dysregulation of dopaminergic and cholinergic networks in the pathology of dementia.Tun-Wei HsuJong-Ling FuhDa-Wei WangLi-Fen ChenChia-Jung ChangWen-Sheng HuangHsiu-Mei WuWan-Yuo GuoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tun-Wei Hsu Jong-Ling Fuh Da-Wei Wang Li-Fen Chen Chia-Jung Chang Wen-Sheng Huang Hsiu-Mei Wu Wan-Yuo Guo Disrupted metabolic connectivity in dopaminergic and cholinergic networks at different stages of dementia from 18F-FDG PET brain persistent homology network
description	Abstract Dementia is related to the cellular accumulation of β-amyloid plaques, tau aggregates, or α-synuclein aggregates, or to neurotransmitter deficiencies in the dopaminergic and cholinergic pathways. Cellular and neurochemical changes are both involved in dementia pathology. However, the role of dopaminergic and cholinergic networks in metabolic connectivity at different stages of dementia remains unclear. The altered network organisation of the human brain characteristic of many neuropsychiatric and neurodegenerative disorders can be detected using persistent homology network (PHN) analysis and algebraic topology. We used 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) imaging data to construct dopaminergic and cholinergic metabolism networks, and used PHN analysis to track the evolution of these networks in patients with different stages of dementia. The sums of the network distances revealed significant differences between the network connectivity evident in the Alzheimer’s disease and mild cognitive impairment cohorts. A larger distance between brain regions can indicate poorer efficiency in the integration of information. PHN analysis revealed the structural properties of and changes in the dopaminergic and cholinergic metabolism networks in patients with different stages of dementia at a range of thresholds. This method was thus able to identify dysregulation of dopaminergic and cholinergic networks in the pathology of dementia.
format	article
author	Tun-Wei Hsu Jong-Ling Fuh Da-Wei Wang Li-Fen Chen Chia-Jung Chang Wen-Sheng Huang Hsiu-Mei Wu Wan-Yuo Guo
author_facet	Tun-Wei Hsu Jong-Ling Fuh Da-Wei Wang Li-Fen Chen Chia-Jung Chang Wen-Sheng Huang Hsiu-Mei Wu Wan-Yuo Guo
author_sort	Tun-Wei Hsu
title	Disrupted metabolic connectivity in dopaminergic and cholinergic networks at different stages of dementia from 18F-FDG PET brain persistent homology network
title_short	Disrupted metabolic connectivity in dopaminergic and cholinergic networks at different stages of dementia from 18F-FDG PET brain persistent homology network
title_full	Disrupted metabolic connectivity in dopaminergic and cholinergic networks at different stages of dementia from 18F-FDG PET brain persistent homology network
title_fullStr	Disrupted metabolic connectivity in dopaminergic and cholinergic networks at different stages of dementia from 18F-FDG PET brain persistent homology network
title_full_unstemmed	Disrupted metabolic connectivity in dopaminergic and cholinergic networks at different stages of dementia from 18F-FDG PET brain persistent homology network
title_sort	disrupted metabolic connectivity in dopaminergic and cholinergic networks at different stages of dementia from 18f-fdg pet brain persistent homology network
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/92a1a544d3d8466c8e8172363f08a084
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Disrupted metabolic connectivity in dopaminergic and cholinergic networks at different stages of dementia from 18F-FDG PET brain persistent homology network

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