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dc.contributor.author
Klohs, Jan
dc.contributor.author
Politano, Igna W.
dc.contributor.author
Deistung, Andreas
dc.contributor.author
Grandjean, Joanes
dc.contributor.author
Drewek, Anna
dc.contributor.author
Dominietto, Marco
dc.contributor.author
Keist, Ruth
dc.contributor.author
Schweser, Ferdinand
dc.contributor.author
Reichenbach, Jürgen R.
dc.contributor.author
Nitsch, Roger M.
dc.contributor.author
Knuesel, Irene
dc.contributor.author
Rudin, Markus
dc.date.accessioned
2018-08-09T12:17:41Z
dc.date.available
2017-06-11T00:36:37Z
dc.date.available
2018-03-20T10:36:47Z
dc.date.available
2018-08-09T12:17:41Z
dc.date.issued
2013-06-19
dc.identifier.issn
1932-6203
dc.identifier.other
10.1371/journal.pone.0066097
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/75248
dc.identifier.doi
10.3929/ethz-b-000075248
dc.description.abstract
Magnetic resonance imaging (MRI) can be used to monitor pathological changes in Alzheimer's disease (AD). The objective of this longitudinal study was to assess the effects of progressive amyloid-related pathology on multiple MRI parameters in transgenic arcAβ mice, a mouse model of cerebral amyloidosis. Diffusion-weighted imaging (DWI), T1-mapping and quantitative susceptibility mapping (QSM), a novel MRI based technique, were applied to monitor structural alterations and changes in tissue composition imposed by the pathology over time. Vascular function and integrity was studied by assessing blood-brain barrier integrity with dynamic contrast-enhanced MRI and cerebral microbleed (CMB) load with susceptibility weighted imaging and QSM. A linear mixed effects model was built for each MRI parameter to incorporate effects within and between groups (i.e. genotype) and to account for changes unrelated to the disease pathology. Linear mixed effects modelling revealed a strong association of all investigated MRI parameters with age. DWI and QSM in addition revealed differences between arcAβ and wt mice over time. CMBs became apparent in arcAβ mice with 9 month of age; and the CMB load reflected disease stage. This study demonstrates the benefits of linear mixed effects modelling of longitudinal imaging data. Moreover, the diagnostic utility of QSM and assessment of CMB load should be exploited further in studies of AD.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Public Library Science
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.title
Longitudinal Assessment of Amyloid Pathology in Transgenic ArcAβ Mice Using Multi-Parametric Magnetic Resonance Imaging
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
dc.date.published
2013-06-19
ethz.journal.title
PLoS ONE
ethz.journal.volume
8
en_US
ethz.journal.issue
6
en_US
ethz.journal.abbreviated
PLoS ONE
ethz.pages.start
e66097
en_US
ethz.size
12 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.nebis
006206116
ethz.publication.place
San Francisco, CA, USA
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02631 - Institut für Biomedizinische Technik / Institute for Biomedical Engineering::03750 - Rudin, Markus (emeritus)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02631 - Institut für Biomedizinische Technik / Institute for Biomedical Engineering::03750 - Rudin, Markus (emeritus)
ethz.date.deposited
2017-06-11T00:39:06Z
ethz.source
ECIT
ethz.identifier.importid
imp5936513f0fc9180635
ethz.ecitpid
pub:118861
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-12T20:56:02Z
ethz.rosetta.lastUpdated
2018-11-07T23:14:57Z
ethz.rosetta.versionExported
true
ethz.COinS
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