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@ARTICLE{Manos:903834,
author = {Manos, Thanos and Diaz, Sandra and Tass, Peter A.},
title = {{L}ong-{T}erm {D}esynchronization by {C}oordinated {R}eset
{S}timulation in a {N}eural {N}etwork {M}odel {W}ith
{S}ynaptic and {S}tructural {P}lasticity},
journal = {Frontiers in physiology},
volume = {12},
issn = {1664-042X},
address = {Lausanne},
publisher = {Frontiers Research Foundation},
reportid = {FZJ-2021-05467},
pages = {716556},
year = {2021},
abstract = {Several brain disorders are characterized by abnormal
neuronal synchronization. To specifically counteract
abnormal neuronal synchrony and, hence, related symptoms,
coordinated reset (CR) stimulation was computationally
developed. In principle, successive epochs of synchronizing
and desynchronizing stimulation may reversibly move neural
networks with plastic synapses back and forth between stable
regimes with synchronized and desynchronized firing.
Computationally derived predictions have been verified in
pre-clinical and clinical studies, paving the way for novel
therapies. However, as yet, computational models were not
able to reproduce the clinically observed increase of
desynchronizing effects of regularly administered CR
stimulation intermingled by long stimulation-free epochs. We
show that this clinically important phenomenon can be
computationally reproduced by taking into account structural
plasticity (SP), a mechanism that deletes or generates
synapses in order to homeostatically adapt the firing rates
of neurons to a set point-like target firing rate in the
course of days to months. If we assume that CR stimulation
favorably reduces the target firing rate of SP, the
desynchronizing effects of CR stimulation increase after
long stimulation-free epochs, in accordance with clinically
observed phenomena. Our study highlights the pivotal role of
stimulation- and dosing-induced modulation of homeostatic
set points in therapeutic processes.},
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) / HBP SGA2 - Human Brain
Project Specific Grant Agreement 2 (785907) / JL SMHB -
Joint Lab Supercomputing and Modeling for the Human Brain
(JL SMHB-2021-2027) / Brain-Scale Simulations
$(jinb33_20191101)$ / PhD no Grant - Doktorand ohne
besondere Förderung (PHD-NO-GRANT-20170405)},
pid = {G:(DE-HGF)POF4-5111 / G:(DE-Juel1)Helmholtz-SLNS /
G:(EU-Grant)785907 / G:(DE-Juel1)JL SMHB-2021-2027 /
$G:(DE-Juel1)jinb33_20191101$ /
G:(DE-Juel1)PHD-NO-GRANT-20170405},
typ = {PUB:(DE-HGF)16},
pubmed = {34566681},
UT = {WOS:000697676800001},
doi = {10.3389/fphys.2021.716556},
url = {https://juser.fz-juelich.de/record/903834},
}