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@ARTICLE{Weller:889188,
author = {Weller, Anna and Bischof, Gérard Nisal and Schlüter,
Philipp and Richter, Nils and Dronse, Julian and Onur,
Özgür and Neumaier, Bernd and Kukolja, Juraj and Langen,
Karl-Josef and Fink, Gereon R. and Kunoth, Angela and Shao,
Yaping and van Eimeren, Thilo and Drzezga, Alexander},
title = {{F}inding new communities: {A} principle of neuronal
network reorganization in {A}lzheimer’s disease.},
journal = {Brain Connectivity},
volume = {11},
number = {3},
issn = {2158-0022},
address = {New Rochelle, NY},
publisher = {Liebert},
reportid = {FZJ-2021-00098},
pages = {225-238},
year = {2021},
abstract = {Background: Graph-theoretical analyses have been previously
used to investigate changes in the functional connectome in
patients with Alzheimer's disease (AD). However, these
analyses generally assume static organizational principles,
thereby neglecting a fundamental reconfiguration of
functional connections in the face of
neurodegeneration.Methods: Here, we focus on differences in
the community structure of the functional connectome in
young and old individuals and patients with AD. Patients
with AD, moreover, underwent molecular imaging positron
emission tomography by using [18F]AV1451 to measure tau
burden, a major hallmark of AD.Results: Although the overall
organizational principles of the community structure of the
human functional connectome were preserved even in advanced
healthy aging, they were considerably changed in AD. We
discovered that the communities in AD are re-organized, with
nodes changing their allegiance to communities, thus
resulting in an overall less efficient re-organized
community structure. We further discovered that nodes with a
tendency to leave the communities displayed a relatively
higher tau pathology burden.Discussion: Together, this study
suggests that local tau pathology in AD is associated to
fundamental changes in basic organizational principles of
the human connectome. Our results shed new light on previous
findings obtained by using the graph theory in AD and imply
a general principle of the brain in response to
neurodegeneration.},
cin = {INM-3 / INM-2 / INM-5 / INM-4},
ddc = {610},
cid = {I:(DE-Juel1)INM-3-20090406 / I:(DE-Juel1)INM-2-20090406 /
I:(DE-Juel1)INM-5-20090406 / I:(DE-Juel1)INM-4-20090406},
pnm = {5253 - Neuroimaging (POF4-525) / 5254 - Neuroscientific
Data Analytics and AI (POF4-525)},
pid = {G:(DE-HGF)POF4-5253 / G:(DE-HGF)POF4-5254},
typ = {PUB:(DE-HGF)16},
pubmed = {33356820},
UT = {WOS:000640690500007},
doi = {10.1089/brain.2020.0889},
url = {https://juser.fz-juelich.de/record/889188},
}