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Amyloid and tau accumulate across distinct spatial networks and are differentially associated with brain connectivity

Pereira, Joana B. LU ; Ossenkoppele, Rik LU ; Palmqvist, Sebastian LU orcid ; Strandberg, Tor Olof LU ; Smith, Ruben LU ; Westman, Eric and Hansson, Oskar LU orcid (2019) In eLife 8.
Abstract

The abnormal accumulation of amyloid-β and tau targets specific spatial networks in Alzheimer’s disease. However, the relationship between these networks across different disease stages and their association with brain connectivity has not been explored. In this study, we applied a joint independent component analysis to18F-Flutemetamol (amyloid-β) and18F-Flortaucipir (tau) PET images to identify amyloid-β and tau networks across different stages of Alzheimer’s disease. We then assessed whether these patterns were associated with resting-state functional networks and white matter tracts. Our analyses revealed nine patterns that were linked across tau and amyloid-β data. The amyloid-β and tau patterns showed a fair... (More)

The abnormal accumulation of amyloid-β and tau targets specific spatial networks in Alzheimer’s disease. However, the relationship between these networks across different disease stages and their association with brain connectivity has not been explored. In this study, we applied a joint independent component analysis to18F-Flutemetamol (amyloid-β) and18F-Flortaucipir (tau) PET images to identify amyloid-β and tau networks across different stages of Alzheimer’s disease. We then assessed whether these patterns were associated with resting-state functional networks and white matter tracts. Our analyses revealed nine patterns that were linked across tau and amyloid-β data. The amyloid-β and tau patterns showed a fair to moderate overlap with distinct functional networks but only tau was associated with white matter integrity loss and multiple cognitive functions. These findings show that amyloid-β and tau have different spatial affinities, which can be used to understand how they accumulate in the brain and potentially damage the brain’s connections.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
eLife
volume
8
article number
e50830
publisher
eLife Sciences Publications
external identifiers
  • pmid:31815669
  • scopus:85077477531
ISSN
2050-084X
DOI
10.7554/eLife.50830
language
English
LU publication?
yes
id
78f0dc30-bb7e-4d82-abbb-510a16ac3a84
date added to LUP
2020-01-20 11:20:16
date last changed
2024-04-03 00:41:17
@article{78f0dc30-bb7e-4d82-abbb-510a16ac3a84,
  abstract     = {{<p>The abnormal accumulation of amyloid-β and tau targets specific spatial networks in Alzheimer’s disease. However, the relationship between these networks across different disease stages and their association with brain connectivity has not been explored. In this study, we applied a joint independent component analysis to<sup>18</sup>F-Flutemetamol (amyloid-β) and<sup>18</sup>F-Flortaucipir (tau) PET images to identify amyloid-β and tau networks across different stages of Alzheimer’s disease. We then assessed whether these patterns were associated with resting-state functional networks and white matter tracts. Our analyses revealed nine patterns that were linked across tau and amyloid-β data. The amyloid-β and tau patterns showed a fair to moderate overlap with distinct functional networks but only tau was associated with white matter integrity loss and multiple cognitive functions. These findings show that amyloid-β and tau have different spatial affinities, which can be used to understand how they accumulate in the brain and potentially damage the brain’s connections.</p>}},
  author       = {{Pereira, Joana B. and Ossenkoppele, Rik and Palmqvist, Sebastian and Strandberg, Tor Olof and Smith, Ruben and Westman, Eric and Hansson, Oskar}},
  issn         = {{2050-084X}},
  language     = {{eng}},
  month        = {{12}},
  publisher    = {{eLife Sciences Publications}},
  series       = {{eLife}},
  title        = {{Amyloid and tau accumulate across distinct spatial networks and are differentially associated with brain connectivity}},
  url          = {{http://dx.doi.org/10.7554/eLife.50830}},
  doi          = {{10.7554/eLife.50830}},
  volume       = {{8}},
  year         = {{2019}},
}