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@ARTICLE{Lu:1049765,
author = {Lu, Han and Garg, Shreyash and Lenz, Maximilian and
Vlachos, Andreas},
title = {{R}epetitive magnetic stimulation with i{TBS}600 induces
persistent structuraland functional plasticity in mouse
organotypic slice cultures},
journal = {Brain stimulation},
volume = {18},
number = {5},
issn = {1935-861X},
address = {New York, NY [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2025-05549},
pages = {1392-1402},
year = {2025},
abstract = {Background:Repetitive transcranial magnetic stimulation
(rTMS) is well known for its ability to induce synaptic
plasticity, yet its impact on structural and functional
remodeling within stimulated networks remains unclear. This
study investigates the cellular and network-level mechanisms
of rTMS-induced plasticity using a clinically approved
600-pulse intermittent theta burst stimulation (iTBS600)
protocol applied to mouse organotypic brain tissue
cultures.<br><br>Methods:We applied iTBS600 to
entorhino-hippocampal organotypic tissue cultures and
conducted a 24-hour analysis using c-Fos immunostaining,
whole-cell patch-clamp recordings, time-lapse imaging of
dendritic spines, and calcium imaging.<br><br>Results:We
observed long-term potentiation (LTP) of excitatory synapses
in dentate granule cells, characterized by increased mEPSC
frequencies and spine remodeling over time. c-Fos expression
in the dentate gyrus was transient and exhibited a clear
sensitivity to the orientation of the induced electric
field, suggesting a direction-dependent induction of
plasticity. Structural remodeling of dendritic spines was
temporally linked to enhanced synaptic strength, while
spontaneous calcium activity remained stable during the
early phase in the dentate gyrus, indicating the engagement
of homeostatic mechanisms. Despite the widespread electric
field generated by rTMS, its effects were spatially and
temporally precise, driving Hebbian plasticity and
region-specific spine dynamics.<br><br>Conclusions:These
findings provide mechanistic insights into how rTMS-induced
LTP promotes targeted plasticity while preserving network
stability. Understanding these interactions may help refine
stimulation protocols to optimize therapeutic outcomes.},
cin = {JSC},
ddc = {610},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511) / SLNS - SimLab
Neuroscience (Helmholtz-SLNS) / JL SMHB - Joint Lab
Supercomputing and Modeling for the Human Brain (JL
SMHB-2021-2027)},
pid = {G:(DE-HGF)POF4-5111 / G:(DE-Juel1)Helmholtz-SLNS /
G:(DE-Juel1)JL SMHB-2021-2027},
typ = {PUB:(DE-HGF)16},
doi = {10.1016/j.brs.2025.07.008},
url = {https://juser.fz-juelich.de/record/1049765},
}