ArticleJournal of computational neuroscience2014
Numerical modelling of plasticity induced by transcranial magnetic stimulation.
Article in Journal of computational neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Multi-scale modelling of location- and frequency-dependent synaptic plasticity induced by repetitive magnetic stimulation in the dendrites of pyramidal neurons.PLoS computational biology · 2025Article
- Dynamical Mechanism Analysis of Three Neuroregulatory Strategies on the Modulation of Seizures.International journal of molecular sciences · 2022Article
- Numerical Modelling of Plasticity Induced by Quadri-Pulse Stimulation.IEEE access : practical innovations, open solutions · 2021Article
- A method to deliver patterned electrical impulses to Schwann cells cultured on an artificial axon.Neural regeneration research · 2019Article
- NFTsim: Theory and Simulation of Multiscale Neural Field Dynamics.PLoS computational biology · 2018Article
- Quantitative theory of deep brain stimulation of the subthalamic nucleus for the suppression of pathological rhythms in Parkinson's disease.PLoS computational biology · 2018Article
- The development and modelling of devices and paradigms for transcranial magnetic stimulation.International review of psychiatry (Abingdon, England) · 2017Review
- Calcium dependent plasticity applied to repetitive transcranial magnetic stimulation with a neural field model.Journal of computational neuroscience · 2016Article
- Understanding the Effects of Repetitive Transcranial Magnetic Stimulation on Neuronal Circuits.Frontiers in neural circuits · 2016Article
- Repetitive Transcranial Magnetic Stimulation: A Call for Better Data.Frontiers in neural circuits · 2016Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
We use neural field theory and spike-timing dependent plasticity to make a simple but biophysically reasonable model of long-term plasticity changes in the cortex due to transcranial magnetic stimulation (TMS). We show how common TMS protocols can be captured and studied within existing neural field theory. Specifically, we look at repetitive TMS protocols such as theta burst stimulation and paired-pulse protocols. Continuous repetitive protocols result mostly in depression, but intermittent repetitive protocols in potentiation. A paired pulse protocol results in depression at short ( < ∼ 10 ms) and long ( > ∼ 100 ms) interstimulus intervals, but potentiation for mid-range intervals. The model is sensitive to the choice of neural populations that are driven by the TMS pulses, and to the parameters that describe plasticity, which may aid interpretation of the high variability in existing experimental results. Driving excitatory populations results in greater plasticity changes than driving inhibitory populations. Modelling also shows the merit in optimizing a TMS protocol based on an individual's electroencephalogram. Moreover, the model can be used to make predictions about protocols that may lead to improvements in repetitive TMS outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.