Numerical modelling of plasticity induced by quadri-pulse stimulation

Quadri-pulse stimulation (QPS), a type of repetitive transcranial magnetic stimulation (rTMS), can induce a considerable aftereffect on cortical synapses. Human experiments have shown that the type of effect on synaptic efficiency (in terms of potentiation or depression) depends on the time interval...

ver descrição completa

Detalhes bibliográficos
Main Authors: Sorkhabi, MM, Wendt, K, Wilson, MT, Denison, T
Formato: Journal article
Idioma:English
Publicado em: IEEE 2021
_version_ 1826303105692598272
author Sorkhabi, MM
Wendt, K
Wilson, MT
Denison, T
author_facet Sorkhabi, MM
Wendt, K
Wilson, MT
Denison, T
author_sort Sorkhabi, MM
collection OXFORD
description Quadri-pulse stimulation (QPS), a type of repetitive transcranial magnetic stimulation (rTMS), can induce a considerable aftereffect on cortical synapses. Human experiments have shown that the type of effect on synaptic efficiency (in terms of potentiation or depression) depends on the time interval between pulses. The maturation of biophysically-based models, which describe the physiological properties of plasticity mathematically, offers a beneficial framework to explore induced plasticity for new stimulation protocols. To model the QPS paradigm, a phenomenological model based on the knowledge of spike timing-dependent plasticity (STDP) mechanisms of synaptic plasticity was utilized where the cortex builds upon the platform of neuronal population modeling. Induced cortical plasticity was modeled for both conventional monophasic pulses and unidirectional pulses generated by the cTMS device, in a total of 117 different scenarios. For the conventional monophasic stimuli, the results of the predictive model broadly follow what is typically seen in human experiments. Unidirectional pulses can produce a similar range of plasticity. Additionally, changing the pulse width had a considerable effect on the plasticity (approximately 20% increase). As the width of the positive phase increases, the size of the potentiation will also increase. The proposed model can generate predictions to guide future plasticity experiments. Estimating the plasticity and optimizing the rTMS protocols might effectively improve the safety implications of TMS experiments by reducing the number of delivered pulses to participants. Finding the optimal stimulation protocol with the maximum potentiation/depression can lead to the design of a new TMS pulse generator device with targeted hardware and control algorithms.
first_indexed 2024-03-07T05:57:35Z
format Journal article
id oxford-uuid:eb0f0535-a19c-47ca-9335-a3be3ae892fe
institution University of Oxford
language English
last_indexed 2024-03-07T05:57:35Z
publishDate 2021
publisher IEEE
record_format dspace
spelling oxford-uuid:eb0f0535-a19c-47ca-9335-a3be3ae892fe2022-03-27T11:06:53ZNumerical modelling of plasticity induced by quadri-pulse stimulationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:eb0f0535-a19c-47ca-9335-a3be3ae892feEnglishSymplectic ElementsIEEE2021Sorkhabi, MMWendt, KWilson, MTDenison, TQuadri-pulse stimulation (QPS), a type of repetitive transcranial magnetic stimulation (rTMS), can induce a considerable aftereffect on cortical synapses. Human experiments have shown that the type of effect on synaptic efficiency (in terms of potentiation or depression) depends on the time interval between pulses. The maturation of biophysically-based models, which describe the physiological properties of plasticity mathematically, offers a beneficial framework to explore induced plasticity for new stimulation protocols. To model the QPS paradigm, a phenomenological model based on the knowledge of spike timing-dependent plasticity (STDP) mechanisms of synaptic plasticity was utilized where the cortex builds upon the platform of neuronal population modeling. Induced cortical plasticity was modeled for both conventional monophasic pulses and unidirectional pulses generated by the cTMS device, in a total of 117 different scenarios. For the conventional monophasic stimuli, the results of the predictive model broadly follow what is typically seen in human experiments. Unidirectional pulses can produce a similar range of plasticity. Additionally, changing the pulse width had a considerable effect on the plasticity (approximately 20% increase). As the width of the positive phase increases, the size of the potentiation will also increase. The proposed model can generate predictions to guide future plasticity experiments. Estimating the plasticity and optimizing the rTMS protocols might effectively improve the safety implications of TMS experiments by reducing the number of delivered pulses to participants. Finding the optimal stimulation protocol with the maximum potentiation/depression can lead to the design of a new TMS pulse generator device with targeted hardware and control algorithms.
spellingShingle Sorkhabi, MM
Wendt, K
Wilson, MT
Denison, T
Numerical modelling of plasticity induced by quadri-pulse stimulation
title Numerical modelling of plasticity induced by quadri-pulse stimulation
title_full Numerical modelling of plasticity induced by quadri-pulse stimulation
title_fullStr Numerical modelling of plasticity induced by quadri-pulse stimulation
title_full_unstemmed Numerical modelling of plasticity induced by quadri-pulse stimulation
title_short Numerical modelling of plasticity induced by quadri-pulse stimulation
title_sort numerical modelling of plasticity induced by quadri pulse stimulation
work_keys_str_mv AT sorkhabimm numericalmodellingofplasticityinducedbyquadripulsestimulation
AT wendtk numericalmodellingofplasticityinducedbyquadripulsestimulation
AT wilsonmt numericalmodellingofplasticityinducedbyquadripulsestimulation
AT denisont numericalmodellingofplasticityinducedbyquadripulsestimulation