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Is Particle Strain an Underlying Mechanism of Ultrasound Neuromodulation?

Ryo Segawa; Emmeric Tanghe; Thomas Tarnaud

Abstract

Ultrasonic neuromodulation represents a promising non-invasive approach for therapeutic applications, offering precise spatial targeting without the risks associated with invasive procedures. However, the complex multi-dimensional parameter space and limited understanding of underlying ultrasound-neuron interaction mechanisms create major hurdles for clinical translation. This study addresses these limitations through the development of strain-based computational models for ultrasound-neuron coupling. Strain is the primary mechanism of interaction between ultrasonic waves and tissue, and refers here to both the oscillating and steady deformation of neurons. The primary objective is to establish a comprehensive computational framework for quantifying ultrasonic effects caused by strain mechanisms, enabling a systematic analysis of diverse ultrasonic protocols and neural targets. The secondary objective involves implementing this framework for morphologically realistic neuronal models and determining the computational feasibility of multi-scale optimisation approaches. We implemented multi-compartmental neuronal models, focusing on an unmyelinated C-fibre model as a benchmark for understanding ultrasound-induced membrane dynamics. We then developed a strain-based modelling framework incorporating membrane deflection mechanisms and accounting for ultrasound-induced changes in membrane properties across varying conditions of pressure and frequency. Furthermore, analytical expressions were derived through mathematical expansion techniques for the membrane capacitance, membrane resistance, and axial resistance, enabling systematic exploration of parameter dependencies including pressure amplitude, frequency, and axon geometry. The framework incorporates electrical coefficients derived from cable theory and Hodgkin-Huxley formulations, allowing for a comprehensive evaluation of ultrasonic effects on gating kinetics. Extensive parameter space exploration across physiologically relevant ranges was conducted to evaluate computational requirements with particular focus on the feasibility of multi-scale optimisation with look-up tables. Multi-scale optimisation is necessary due to the numerical stiffness caused by the microsecond ultrasonic period, which improves computational efficiency and numerical accuracy. This computational framework establishes the foundation for systematic optimisation of ultrasonic protocols across diverse neurological applications through a mechanism-specific computational approach. The strain-based framework enables progression towards morphologically-realistic neural models, incorporating detailed channel properties and anatomical reconstructions to create comprehensive ultrasound-sensitive single-neuron models.

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Feel free to scan! -> References, contact, etc. https://linktr.ee/ryo.segawa Is Particle Strain an Underlying Mechanism of Ultrasound Neuromodulation? 1WAVES, Department of Information Technology (INTEC), Ghent University-imec, Ghent, Belgium 24Brain, Department of Head and Skin, Ghent University, Ghent, Belgium Ryo Segawa1, Emmeric Tanghe1, Thomas Tarnaud1,2 •Ultrasound neuromodulation (USN) remains poorly understood, with predicted effects sensitive to modelling choices and parameter regimes. •Strain caused by particle displacement has been proposed as a candidate of USN. •We propose a reproducible evaluation framework that: oassesses when a pre-computing method using lookup tables are worth using, and oenables systematic assessment of ultrasound effects for arbitrary neural targets and mechanisms via a modular design. •This poster illustrates the approach for an unmyelinated axon fibre under a particle strain-based mechanism using a cable theoretic Sundt (Hodgkin–Huxley type) model. Introduction •Maclaurin approximation remains within 5% across the entire parameter sweeps. •Second-order ≫higher order residual (≥10x; median log(H T2) < log( 1 10)and p<.001). Particle Strain Is at Most a Second Order USN Mechanism Step 1. Membrane charge 𝑸𝒎evolution 𝑅deriv : normalised derivative rate 𝑅band : 95 % power frequency A slowness factor summarises 𝑄𝑚evolution: Step 2. Maclaurin analysis Quantify the accuracy of second order Maclaurin approximations for electrical and gating terms. Step 3. Net effect caused by parameters and physical insights Method Overview •Mechanism: particle strain driven modulation of morphology, 𝐶𝑚, R𝑚, Ra, and protein gating. •Neuron model: cable theoretic multi-compartment Hodgkin–Huxley type model (De Geeter, 2015) with a charge-based recast. •Ion channels: unmyelinated C nerve fibre (Sundt et al., 2015; Lemaire et al., 2021). •Protocol: baseline parameters (𝑃, 𝑓, 𝑙0, 𝐷0, 𝑑0) with comprehensive ranges for sweeps. Models & Parameters •Parameter exploration indicates that the effects of the strain mechanism on the electrical terms and gate functions are remarkably small (top table). •The effect of parameters on the electrical term is entirely dominated by the mechanistic elements induced by morphology (bottom left plot). •By and large, gating modulation is primarily governed by the first-order voltage sensitivity of the gating curves, with curvature effects playing a minor role (bottom right plot). Direct Effect of Particle Strain on Electrophysiology Is Negligible •Establishment of a computational particle-strain based framework of focused ultrasound neuromodulation. •In the strain-based axon example, ultrasound parameters and different morphologies do not result in a significant modulation effect on the electrical properties. •Application to other neural targets and mechanisms is anticipated. Conclusion •Median blockwise slowness factor 𝑆strain: 0.0161 •Median 𝑆cavitation: 0.264 (reference from the cavitation mechanism; Lemaire et al., 2021) •Two-sided Mann-Whitney U test (H0: 𝑆strain= 𝑆cavitation): p<.001 •One-tailed Mann-Whitney U test (H0: 𝑆strain ≮ 𝑆cavitation): p<.001 Membrane Charge Evolves Slowly Over Time Maximum net effect by each parameter sweep