Multi-scale modelling of location- and frequency-dependent synaptic plasticity induced by repetitive magnetic stimulation in the dendrites of pyramidal neurons
| dc.contributor.author | Hananeia, Nicholas | |
| dc.contributor.author | Ebner, Christian | |
| dc.contributor.author | Galanis, Christos | |
| dc.contributor.author | Cuntz, Hermann | |
| dc.contributor.author | Opitz, Alexander | |
| dc.contributor.author | Vlachos, Andreas | |
| dc.contributor.author | Jedlicka, Peter | |
| dc.date.accessioned | 2026-01-15T09:42:31Z | |
| dc.date.available | 2026-01-15T09:42:31Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Background: 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.sponsorship | Bundesministerium für Bildung und Forschung (BMBF); ROR-ID:04pz7b180 | de |
| dc.identifier.uri | https://jlupub.ub.uni-giessen.de/handle/jlupub/21219 | |
| dc.identifier.uri | https://doi.org/10.22029/jlupub-20564 | |
| dc.language.iso | en | |
| dc.rights | Namensnennung 4.0 International | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | ddc:610 | |
| dc.title | Multi-scale modelling of location- and frequency-dependent synaptic plasticity induced by repetitive magnetic stimulation in the dendrites of pyramidal neurons | |
| dc.type | article | |
| local.affiliation | FB 11 - Medizin | |
| local.source.articlenumber | e1012295 | |
| local.source.epage | 23 | |
| local.source.journaltitle | PLoS Computational Biology | |
| local.source.number | 11 | |
| local.source.spage | 1 | |
| local.source.uri | https://doi.org/10.1371/journal.pcbi.1012295 | |
| local.source.volume | 21 |
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