Advanced

Amyloid network topology characterizes the progression of Alzheimer's disease during the predementia stages

Pereira, Joana B.; Strandberg, Tor Olof; Palmqvist, Sebastian LU ; Volpe, Giovanni; Van Westen, Danielle LU ; Westman, Eric and Hansson, Oskar LU (2018) In Cerebral Cortex 28(1). p.340-349
Abstract

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 Aβ42 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 Aβ42 levels and normal Florbetapir PET (CSF+/PET-), and more advanced Aβ accumulation, defined as both abnormal CSF Aβ42 and Florbetapir PET (CSF+/PET+). The amyloid networks were built using correlations in the... (More)

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 Aβ42 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 Aβ42 levels and normal Florbetapir PET (CSF+/PET-), and more advanced Aβ accumulation, defined as both abnormal CSF Aβ42 and Florbetapir PET (CSF+/PET+). The amyloid networks were built using correlations in the mean 18F-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 showedmore 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.

(Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Amyloid, Brain networks, Cerebrospinal fluid, Florbetapir PET, Graph theory
in
Cerebral Cortex
volume
28
issue
1
pages
10 pages
publisher
Oxford University Press
external identifiers
  • scopus:85050872791
ISSN
1047-3211
DOI
10.1093/cercor/bhx294
language
English
LU publication?
yes
id
0169642b-adb3-4840-8476-f91c63fc56ca
date added to LUP
2018-09-18 15:38:49
date last changed
2019-10-15 06:45:18
@article{0169642b-adb3-4840-8476-f91c63fc56ca,
  abstract     = {<p>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 Aβ42 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 Aβ42 levels and normal Florbetapir PET (CSF+/PET-), and more advanced Aβ accumulation, defined as both abnormal CSF Aβ42 and Florbetapir PET (CSF+/PET+). The amyloid networks were built using correlations in the mean 18F-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 showedmore 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.</p>},
  author       = {Pereira, Joana B. and Strandberg, Tor Olof and Palmqvist, Sebastian and Volpe, Giovanni and Van Westen, Danielle and Westman, Eric and Hansson, Oskar},
  issn         = {1047-3211},
  keyword      = {Amyloid,Brain networks,Cerebrospinal fluid,Florbetapir PET,Graph theory},
  language     = {eng},
  month        = {01},
  number       = {1},
  pages        = {340--349},
  publisher    = {Oxford University Press},
  series       = {Cerebral Cortex},
  title        = {Amyloid network topology characterizes the progression of Alzheimer's disease during the predementia stages},
  url          = {http://dx.doi.org/10.1093/cercor/bhx294},
  volume       = {28},
  year         = {2018},
}