Functional Evolving Patterns of Cortical Networks in Progression of Alzheimer's Disease: A Graph-Based Resting-State fMRI Study.

Li, W; Wen, W; Chen, X; Ni, B; Lin, X; Fan, W; The Alzheimer's Disease Neuroimaging Initiative,

Functional Evolving Patterns of Cortical Networks in Progression of Alzheimer's Disease: A Graph-Based Resting-State fMRI Study.

Li, W Wen, W Chen, X Ni, B

Lin, X Fan, W The Alzheimer's Disease Neuroimaging Initiative,

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Publisher:: HINDAWI LTD
Publication Type:: Journal Article
Citation:: Neural Plast, 2020, 2020, pp. 7839536
Issue Date:: 2020

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Field	Value	Language
dc.contributor.author	Li, W
dc.contributor.author	Wen, W
dc.contributor.author	Chen, X
dc.contributor.author	Ni, B https://orcid.org/0000-0002-1129-7837
dc.contributor.author	Lin, X
dc.contributor.author	Fan, W
dc.contributor.author	The Alzheimer's Disease Neuroimaging Initiative,
dc.date.accessioned	2023-03-23T22:35:47Z
dc.date.available	2020-04-22
dc.date.available	2023-03-23T22:35:47Z
dc.date.issued	2020
dc.identifier.citation	Neural Plast, 2020, 2020, pp. 7839536
dc.identifier.issn	2090-5904
dc.identifier.issn	1687-5443
dc.identifier.uri	http://hdl.handle.net/10453/168258
dc.description.abstract	AD is a common chronic progressive neurodegenerative disorder. However, the understanding of the dynamic longitudinal change of the brain in the progression of AD is still rough and sometimes conflicting. This paper analyzed the brain networks of healthy people and patients at different stages (EMCI, LMCI, and AD). The results showed that in global network properties, most differences only existed between healthy people and patients, and few were discovered between patients at different stages. However, nearly all subnetwork properties showed significant differences between patients at different stages. Moreover, the most interesting result was that we found two different functional evolving patterns of cortical networks in progression of AD, named 'temperature inversion' and "monotonous decline," but not the same monotonous decline trend as the external functional assessment observed in the course of disease progression. We suppose that those subnetworks, showing the same functional evolving pattern in AD progression, may have something the same in work mechanism in nature. And the subnetworks with 'temperature inversion' evolving pattern may play a special role in the development of AD.
dc.format	Electronic-eCollection
dc.language	eng
dc.publisher	HINDAWI LTD
dc.relation.ispartof	Neural Plast
dc.relation.isbasedon	10.1155/2020/7839536
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	1109 Neurosciences, 1702 Cognitive Sciences
dc.subject.classification	Neurology & Neurosurgery
dc.subject.mesh	Aged
dc.subject.mesh	Aged, 80 and over
dc.subject.mesh	Alzheimer Disease
dc.subject.mesh	Brain Mapping
dc.subject.mesh	Cerebral Cortex
dc.subject.mesh	Disease Progression
dc.subject.mesh	Female
dc.subject.mesh	Humans
dc.subject.mesh	Magnetic Resonance Imaging
dc.subject.mesh	Male
dc.subject.mesh	Middle Aged
dc.subject.mesh	Nerve Net
dc.subject.mesh	Cerebral Cortex
dc.subject.mesh	Nerve Net
dc.subject.mesh	Humans
dc.subject.mesh	Alzheimer Disease
dc.subject.mesh	Disease Progression
dc.subject.mesh	Magnetic Resonance Imaging
dc.subject.mesh	Brain Mapping
dc.subject.mesh	Aged
dc.subject.mesh	Aged, 80 and over
dc.subject.mesh	Middle Aged
dc.subject.mesh	Female
dc.subject.mesh	Male
dc.subject.mesh	Aged
dc.subject.mesh	Aged, 80 and over
dc.subject.mesh	Alzheimer Disease
dc.subject.mesh	Brain Mapping
dc.subject.mesh	Cerebral Cortex
dc.subject.mesh	Disease Progression
dc.subject.mesh	Female
dc.subject.mesh	Humans
dc.subject.mesh	Magnetic Resonance Imaging
dc.subject.mesh	Male
dc.subject.mesh	Middle Aged
dc.subject.mesh	Nerve Net
dc.title	Functional Evolving Patterns of Cortical Networks in Progression of Alzheimer's Disease: A Graph-Based Resting-State fMRI Study.
dc.type	Journal Article
utslib.citation.volume	2020
utslib.location.activity	United States
utslib.for	1109 Neurosciences
utslib.for	1702 Cognitive Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	open_access	*
dc.date.updated	2023-03-23T22:35:31Z
pubs.publication-status	Published online
pubs.volume	2020

Abstract:

AD is a common chronic progressive neurodegenerative disorder. However, the understanding of the dynamic longitudinal change of the brain in the progression of AD is still rough and sometimes conflicting. This paper analyzed the brain networks of healthy people and patients at different stages (EMCI, LMCI, and AD). The results showed that in global network properties, most differences only existed between healthy people and patients, and few were discovered between patients at different stages. However, nearly all subnetwork properties showed significant differences between patients at different stages. Moreover, the most interesting result was that we found two different functional evolving patterns of cortical networks in progression of AD, named 'temperature inversion' and "monotonous decline," but not the same monotonous decline trend as the external functional assessment observed in the course of disease progression. We suppose that those subnetworks, showing the same functional evolving pattern in AD progression, may have something the same in work mechanism in nature. And the subnetworks with 'temperature inversion' evolving pattern may play a special role in the development of AD.

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http://hdl.handle.net/10453/168258