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@INPROCEEDINGS{Hirsch:283098,
author = {Hirsch, Fabian and Frontzkowski, Lukas and Roemer-Cassiano,
Sebastian and Dehsarvi, Amir and Steward, Anna and Dewenter,
Anna and Biel, Davina and Klonowksi, Madleen and Zhu, Zeyu
and Gnoerich, Johannes and Schöll, Michael and Höglinger,
Günter U and Brendel, Matthias and Franzmeier, Nicolai},
title = {{C}onnector {H}ubs {A}ccelerate the {S}pread of {T}au
{P}athology in {A}lzheimer's {D}isease},
journal = {Alzheimer's and dementia},
volume = {21},
number = {Suppl 8},
issn = {1552-5260},
reportid = {DZNE-2025-01505},
pages = {e109933},
year = {2025},
abstract = {Tau accumulation drives neurodegeneration and cognitive
decline in Alzheimer's Disease (AD) and preclinical research
suggests that tau spreads transsynaptically across connected
neurons. We translated tau spreading models to human
neuroimaging data, showing that tau pathology spreads from
circumscribed epicenters to connected regions in AD,
following the architecture of functional brain networks. To
further determine whether the topology of brain networks
influences tau spreading dynamics, we investigated whether
functional hubs (i.e. regions with strong inter-regional
connections) accelerate tau spread in AD. Specifically, we
hypothesized that more efficient communication from tau
epicenters towards hubs that cross-link large-scale brain
networks (connector hubs) rather than hubs that interconnect
neighboring regions (local hubs) accelerates amyloid-related
tau accumulation and cognitive decline (Figure
1).Longitudinal tau/amyloid-PET and cognitive data from two
independent cohorts covering the AD spectrum (ADNI/A4 n =
325/220) were analyzed to examine amyloid-driven
spatiotemporal tau accumulation patterns and cognitive
decline. Structural- and functional-connectivity templates
from healthy controls were used to model the connectional
efficiency of subject-level tau epicenters (i.e. $10\%$ of
brain regions with highest baseline tau-PET) towards
connector/local hubs (Figure 2). Using robust regression, we
then tested whether more efficient communication of
subject-level tau epicenters to connector vs. local hubs
accelerated global tau accumulation, cognitive decline, and
tau dissemination across networks.Supporting our hypotheses,
we found that the effect of higher baseline amyloid-PET on
faster global tau-PET increases was moderated by more
efficient communication of tau epicenters towards connector
relative to local hubs (ADNI/A4: β = 0.31/0.40,
p<0.001/0.03), such that subjects with stronger epicenter
communication to connector hubs showed an amplified effect
of amyloid on global tau accumulation rates (Figure 3A). The
same interaction models also predicted faster cognitive
decline (ADNI/A4: β = -0.49/-0.34, p<0.001/0.04, Figure
3B), and larger extents of tau dissemination across
functional networks (ADNI/A4: β = 0.6/0.36, p<0.001/0.04).
All p-values were FDR-corrected.Brain network topology
shapes spatiotemporal tau accumulation rates and cognitive
trajectories in AD. Specifically, stronger communication of
tau epicenters with connector hubs that are characterized by
widespread cross-network connections amplifies
amyloid-related tau accumulation. This suggests that brain
network architecture has a profound modulating impact on tau
aggregation and disease progression in AD.},
month = {Jul},
date = {2025-07-27},
organization = {Alzheimer’s Association
International Conference, Toronto
(Canada), 27 Jul 2025 - 31 Jul 2025},
keywords = {Humans / Alzheimer Disease: diagnostic imaging / Alzheimer
Disease: metabolism / Alzheimer Disease: pathology / tau
Proteins: metabolism / Positron-Emission Tomography / Brain:
diagnostic imaging / Brain: metabolism / Brain: pathology /
Male / Female / Aged / Cognitive Dysfunction: diagnostic
imaging / Cognitive Dysfunction: metabolism / Neuroimaging /
Longitudinal Studies / Aged, 80 and over / tau Proteins (NLM
Chemicals)},
cin = {Clinical Research (Munich) / AG Haass},
ddc = {610},
cid = {I:(DE-2719)1111015 / I:(DE-2719)1110007},
pnm = {353 - Clinical and Health Care Research (POF4-353) / 352 -
Disease Mechanisms (POF4-352)},
pid = {G:(DE-HGF)POF4-353 / G:(DE-HGF)POF4-352},
typ = {PUB:(DE-HGF)1 / PUB:(DE-HGF)16},
pubmed = {pmid:41433910},
pmc = {pmc:PMC12724848},
doi = {10.1002/alz70862_109933},
url = {https://pub.dzne.de/record/283098},
}