Multi-scale modelling of location- and frequency-dependent synaptic plasticity induced by repetitive magnetic stimulation in the dendrites of pyramidal neurons

dc.contributor.authorHananeia, Nicholas
dc.contributor.authorEbner, Christian
dc.contributor.authorGalanis, Christos
dc.contributor.authorCuntz, Hermann
dc.contributor.authorOpitz, Alexander
dc.contributor.authorVlachos, Andreas
dc.contributor.authorJedlicka, Peter
dc.date.accessioned2026-01-15T09:42:31Z
dc.date.available2026-01-15T09:42:31Z
dc.date.issued2025
dc.description.abstractBackground: Repetitive transcranial magnetic stimulation (rTMS) induces long-term changes in synapses, but the mechanisms behind these modifications are not fully understood. Although there has been progress in the development of multi-scale modeling tools, no comprehensive module for simulating rTMS-induced synaptic plasticity in biophysically realistic neurons exists. Objective: We developed a modelling framework that allows the replication and detailed prediction of long-term changes of excitatory synapses in neurons stimulated by rTMS. Methods: We implemented a voltage-dependent plasticity model that has been pre-viously established for simulating frequency-, time-, and compartment-dependent spatio-temporal changes of excitatory synapses in neuronal dendrites. The plasticity model can be incorporated into biophysical neuronal models and coupled to electrical field simulations. Results: We show that the plasticity modelling framework replicates long-term poten-tiation (LTP)-like plasticity in hippocampal CA1 pyramidal cells evoked by 10-Hz repetitive magnetic stimulation (rMS). In line with previous experimental studies, this plasticity was strongly distance dependent and localised to the proximal synapses of the neuron. We predicted a decrease in the plasticity amplitude for 5 Hz and 1 Hz protocols with decreasing frequency. Finally, we successfully modelled plasticity in distal synapses upon local electrical theta-burst stimulation (TBS) and predicted proximal and distal plasticity for rMS TBS. Notably, the rMS TBS-evoked synaptic plasticity exhibited robust facilitation by dendritic spikes and low sensitivity to inhibitory suppression. Conclusion: The plasticity modelling framework enables precise simulations of LTP-like cellular effects with high spatio-temporal resolution, enhancing the efficiency of parameter screening and the development of plasticity-inducing rTMS protocols.en
dc.description.sponsorshipBundesministerium für Bildung und Forschung (BMBF); ROR-ID:04pz7b180de
dc.identifier.urihttps://jlupub.ub.uni-giessen.de/handle/jlupub/21219
dc.identifier.urihttps://doi.org/10.22029/jlupub-20564
dc.language.isoen
dc.rightsNamensnennung 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddcddc:610
dc.titleMulti-scale modelling of location- and frequency-dependent synaptic plasticity induced by repetitive magnetic stimulation in the dendrites of pyramidal neurons
dc.typearticle
local.affiliationFB 11 - Medizin
local.source.articlenumbere1012295
local.source.epage23
local.source.journaltitlePLoS Computational Biology
local.source.number11
local.source.spage1
local.source.urihttps://doi.org/10.1371/journal.pcbi.1012295
local.source.volume21

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