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Multi-scale modelling of location- and frequency-dependent synaptic plasticity induced by transcranial magnetic stimulation in the dendrites of pyramidal neurons.
Hananeia, Nicholas; Ebner, Christian; Galanis, Christos; Cuntz, Hermann; Opitz, Alexander; Vlachos, Andreas; Jedlicka, Peter.
Afiliação
  • Hananeia N; Computer-Based Modelling in the field of 3R Animal Protection, Faculty of Medicine, Justus Liebig University Giessen, Giessen, Germany.
  • Ebner C; Translational Neuroscience Network Giessen, Germany.
  • Galanis C; Computer-Based Modelling in the field of 3R Animal Protection, Faculty of Medicine, Justus Liebig University Giessen, Giessen, Germany.
  • Cuntz H; Translational Neuroscience Network Giessen, Germany.
  • Opitz A; Charité · NeuroCure (NCRC), Charité Universitätsmedizin Berlin.
  • Vlachos A; Department of Neuroanatomy, Institute of Anatomy and Cell Biology, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Jedlicka P; BrainLinks-BrainTools Center, University of Freiburg.
bioRxiv ; 2024 Jul 05.
Article em En | MEDLINE | ID: mdl-39005474
ABSTRACT

Background:

Repetitive transcranial magnetic stimulation (rTMS) induces long-term changes of 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 previously 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 potentiation (LTP)-like plasticity in hippocampal CA1 pyramidal cells evoked by 10-Hz repetitive magnetic stimulation (rMS). This plasticity was strongly distance dependent and concentrated at 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha País de publicação: Estados Unidos