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Muscle Stimulation Frequency01:22

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The contraction strength of muscles is regulated by motor neurons, which modulate the frequency of action potentials dispatched to the motor units based on the body's requirements. This process of varying the muscle stimulation frequency allows muscles to contract with a force that is precisely tailored to the needs of the moment, whether lifting a feather or a heavy box.
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At low firing rates, motor neurons induce individual twitch contractions in muscle fibers. These twitches...
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Related Experiment Video

Updated: Jun 5, 2025

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
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Numerical Modelling of Plasticity Induced by Quadri-Pulse Stimulation.

Majid Memarian Sorkhabi1, Karen Wendt1, Marcus T Wilson2

  • 1MRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences (NDCN), University of Oxford, Oxford, OX1 3TH, UK.

IEEE Access : Practical Innovations, Open Solutions
|December 9, 2024
PubMed
Summary
This summary is machine-generated.

Quadri-pulse stimulation (QPS) models synaptic plasticity, showing that pulse timing and width influence effects. This research optimizes repetitive transcranial magnetic stimulation (rTMS) protocols for safer, more effective brain stimulation.

Keywords:
QPSTMS-induced plasticityTranscranial magnetic stimulationcTMS devicenear-rectangular magnetic stimuli

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Biophysics

Background:

  • Repetitive transcranial magnetic stimulation (rTMS), including Quadri-pulse stimulation (QPS), induces aftereffects on cortical synapses.
  • Synaptic plasticity, manifesting as potentiation or depression, is sensitive to the timing of stimulation pulses.
  • Biophysically-based models are crucial for understanding and predicting plasticity induced by novel stimulation protocols.

Purpose of the Study:

  • To model Quadri-pulse stimulation (QPS) using a phenomenological approach based on spike-timing-dependent plasticity (STDP).
  • To explore induced cortical plasticity under various stimulation conditions, including conventional monophasic and unidirectional pulses.
  • To investigate the impact of pulse width on synaptic plasticity.

Main Methods:

  • Utilized a phenomenological model grounded in STDP mechanisms within a neuronal population modeling framework.
  • Simulated 117 scenarios involving conventional monophasic and unidirectional pulses from a cTMS device.
  • Analyzed the effect of varying pulse widths on induced cortical plasticity.

Main Results:

  • The predictive model's outcomes for monophasic stimuli align with human experimental findings.
  • Unidirectional pulses demonstrated the capacity to induce a comparable range of synaptic plasticity.
  • Increasing the pulse width, particularly the positive phase, significantly enhanced potentiation by approximately 20%.

Conclusions:

  • The developed model accurately predicts QPS-induced plasticity, offering guidance for future experimental designs.
  • Optimizing rTMS protocols through predictive modeling can enhance safety by reducing participant exposure.
  • Findings can inform the development of novel TMS devices with tailored hardware and control for targeted plasticity induction.