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Amyloid Network Topology Characterizes the Progression of Alzheimer’s Disease During the Predementia Stages

There is increasing evidence showing that the accumulation of the amyloid-β (Aβ) peptide into extracellular plaques is a central event in Alzheimer's disease (AD). These abnormalities can be detected as lowered levels of Aβ(42) in the cerebrospinal fluid (CSF) and are followed by increased amyl...

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Autores principales: Pereira, Joana B, Strandberg, Tor Olof, Palmqvist, Sebastian, Volpe, Giovanni, van Westen, Danielle, Westman, Eric, Hansson, Oskar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454565/
https://www.ncbi.nlm.nih.gov/pubmed/29136123
http://dx.doi.org/10.1093/cercor/bhx294
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author Pereira, Joana B
Strandberg, Tor Olof
Palmqvist, Sebastian
Volpe, Giovanni
van Westen, Danielle
Westman, Eric
Hansson, Oskar
author_facet Pereira, Joana B
Strandberg, Tor Olof
Palmqvist, Sebastian
Volpe, Giovanni
van Westen, Danielle
Westman, Eric
Hansson, Oskar
author_sort Pereira, Joana B
collection PubMed
description There is increasing evidence showing that the accumulation of the amyloid-β (Aβ) peptide into extracellular plaques is a central event in Alzheimer's disease (AD). These abnormalities can be detected as lowered levels of Aβ(42) in the cerebrospinal fluid (CSF) and are followed by increased amyloid burden on positron emission tomography (PET) several years before the onset of dementia. The aim of this study was to assess amyloid network topology in nondemented individuals with early stage Aβ accumulation, defined as abnormal CSF Aβ(42) levels and normal Florbetapir PET (CSF+/PET−), and more advanced Aβ accumulation, defined as both abnormal CSF Aβ(42) and Florbetapir PET (CSF+/PET+). The amyloid networks were built using correlations in the mean (18)F-florbetapir PET values between 72 brain regions and analyzed using graph theory analyses. Our findings showed an association between early amyloid stages and increased covariance as well as shorter paths between several brain areas that overlapped with the default-mode network (DMN). Moreover, we found that individuals with more advanced amyloid accumulation showed more widespread changes in brain regions both within and outside the DMN. These findings suggest that amyloid network topology could potentially be used to assess disease progression in the predementia stages of AD.
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spelling pubmed-64545652019-04-11 Amyloid Network Topology Characterizes the Progression of Alzheimer’s Disease During the Predementia Stages Pereira, Joana B Strandberg, Tor Olof Palmqvist, Sebastian Volpe, Giovanni van Westen, Danielle Westman, Eric Hansson, Oskar Cereb Cortex Original Articles There is increasing evidence showing that the accumulation of the amyloid-β (Aβ) peptide into extracellular plaques is a central event in Alzheimer's disease (AD). These abnormalities can be detected as lowered levels of Aβ(42) in the cerebrospinal fluid (CSF) and are followed by increased amyloid burden on positron emission tomography (PET) several years before the onset of dementia. The aim of this study was to assess amyloid network topology in nondemented individuals with early stage Aβ accumulation, defined as abnormal CSF Aβ(42) levels and normal Florbetapir PET (CSF+/PET−), and more advanced Aβ accumulation, defined as both abnormal CSF Aβ(42) and Florbetapir PET (CSF+/PET+). The amyloid networks were built using correlations in the mean (18)F-florbetapir PET values between 72 brain regions and analyzed using graph theory analyses. Our findings showed an association between early amyloid stages and increased covariance as well as shorter paths between several brain areas that overlapped with the default-mode network (DMN). Moreover, we found that individuals with more advanced amyloid accumulation showed more widespread changes in brain regions both within and outside the DMN. These findings suggest that amyloid network topology could potentially be used to assess disease progression in the predementia stages of AD. Oxford University Press 2018-01 2017-11-09 /pmc/articles/PMC6454565/ /pubmed/29136123 http://dx.doi.org/10.1093/cercor/bhx294 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Articles
Pereira, Joana B
Strandberg, Tor Olof
Palmqvist, Sebastian
Volpe, Giovanni
van Westen, Danielle
Westman, Eric
Hansson, Oskar
Amyloid Network Topology Characterizes the Progression of Alzheimer’s Disease During the Predementia Stages
title Amyloid Network Topology Characterizes the Progression of Alzheimer’s Disease During the Predementia Stages
title_full Amyloid Network Topology Characterizes the Progression of Alzheimer’s Disease During the Predementia Stages
title_fullStr Amyloid Network Topology Characterizes the Progression of Alzheimer’s Disease During the Predementia Stages
title_full_unstemmed Amyloid Network Topology Characterizes the Progression of Alzheimer’s Disease During the Predementia Stages
title_short Amyloid Network Topology Characterizes the Progression of Alzheimer’s Disease During the Predementia Stages
title_sort amyloid network topology characterizes the progression of alzheimer’s disease during the predementia stages
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454565/
https://www.ncbi.nlm.nih.gov/pubmed/29136123
http://dx.doi.org/10.1093/cercor/bhx294
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