Computational modeling of peripheral pain: a commentary

Prada, Erick Javier Argüello; Silva, Ricardo J; Huerta, Mónica; Avila, R.

doi:10.1186/s12938-015-0049-x

Cited by 9 publications

(5 citation statements)

References 30 publications

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“…Despite its simplicity, the model has the ability to simulate acute and chronic pain attributed to prolonged painful stimuli (Figure 2). The majority of mathematical and computational models of pain focus on acute pain and do not include features necessary for explaining chronic pain [2, 40]. In our model, chronic pain emerges from the sensitization of neurons.…”

Section: Discussionmentioning

confidence: 99%

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Modeling Neural Behavior and Pain During Bladder Distention using an Agent-based Model of the Central Nucleus of the Amygdala

Baktay

Neilan

Behun

et al. 2019

SPORA

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Chronic bladder pain evokes asymmetric behavior in neurons across the left and right hemispheres of the amygdala. An agent-based computational model was created to simulate the firing of neurons over time and in response to painful bladder stimulation. Each agent represents one neuron and is characterized by its location in the amygdala and response type (excited or inhibited). At each time step, the firing rates (Hz) of all neurons are stochastically updated from probability distributions estimated from data collected in laboratory experiments. A damage accumulation model tracks the damage accrued by neurons during long-term, painful bladder stimulation. Emergent model output uses neural activity to measure temporal changes in pain attributed to bladder stimulation. Simulations demonstrate the model's ability to capture acute and chronic pain and its potential to predict changes in pain similar to those observed in the lab. Asymmetric neural activity during the progression of chronic pain is examined using model output and a sensitivity analysis.

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Section: Discussionmentioning

confidence: 99%

“…Computational and mathematical models provide a non-invasive and humane method for studying pain and assessing different pain management strategies [2]. In 1986, Britton and Skevington constructed a system of differential equations describing the gate control theory of pain [14, 13].…”

Section: Introductionmentioning

confidence: 99%

Modeling Neural Behavior and Pain During Bladder Distention using an Agent-based Model of the Central Nucleus of the Amygdala

Baktay

Neilan

Behun

et al. 2019

SPORA

View full text Add to dashboard Cite

show abstract

“…The thermal pain sensation is mainly mediated by the relatively fast myelinated Aδ fiber, and relatively slow and thin unmyelinated C-fibers (Zhu and Lu, 2010). There have been a rapid surge in the development of mathematical models and theoretical frameworks for transduction, transmission, perception and modulation of pain at different levels: molecular, cellular and neuron networks (Argüello et al, 2015, Kucyi and Davis, 2015, Moayedi and Davis, 2012, Ortiz-Catalan, 2018, Seth and de Gray, 2016, Tiemann et al, 2018. (Xu et al, 2010, Xu et al, 2008) developed the mathematical model for quantifying the skin thermal pain sensation during thermal therapies by coupling the thermal model to the neural model of nociceptors.…”

Section: Application Of Laser Ablation To Biological Tissues Neural mentioning

confidence: 99%

Thermal ablation of biological tissues in disease treatment: A review of computational models and future directions

Singh

Melnik

2020

Electromagnetic Biology and Medicine

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Percutaneous thermal ablation has proved to be an effective modality for treating both benign and malignant tumors in various tissues. Among these modalities, radiofrequency ablation (RFA) is the most promising and widely adopted approach that has been extensively studied in the past decades. Microwave ablation (MWA) is a newly emerging modality that is gaining rapid momentum due to its capability of inducing rapid heating and attaining larger ablation volumes, and its lesser susceptibility to the heat sink effects as compared to RFA. Although the goal of both these therapies is to attain cell death in the target tissue by virtue of heating above 50 o C, their underlying mechanism of action and principles greatly differs. Computational modelling is a powerful tool for studying the effect of electromagnetic interactions within the biological tissues and predicting the treatment outcomes during thermal ablative therapies. Such a priori estimation can assist the clinical practitioners during treatment planning with the goal of attaining successful tumor destruction and preservation of the surrounding healthy tissue and critical structures. This review provides current state-ofthe-art developments and associated challenges in the computational modelling of thermal ablative techniques, viz., RFA and MWA, as well as touch upon several promising avenues in the modelling of laser ablation, nanoparticles assisted magnetic hyperthermia and noninvasive RFA. The application of RFA in pain relief has been extensively reviewed from modelling point of view. Additionally, future directions have also been provided to improve these models for their successful translation and integration into the hospital work flow.

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“…This can be useful in the context of AI and the machine learning algorithms mentioned earlier in Section 2 . Moreover, there has been a surge in the development of neural tissue models for capturing the transduction, transmission, perception and modulation of pain at molecular, cellular and neuron networks levels [ 78 , 139 , 140 , 141 , 142 , 143 ]. The aforementioned coupled multiscale thermo-electro-mechanical model can be readily integrated with the Hodgkin–Huxley neural model for predicting the treatment outcomes in terms of decline in the actual pain signals that can be coupled with the damage model presented in Equation (7).…”

Section: Clinical Applications Future Outlook and Model Developmementioning

confidence: 99%

Domain Heterogeneity in Radiofrequency Therapies for Pain Relief: A Computational Study with Coupled Models

Singh

Melnik

2020

Bioengineering

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The objective of the current research work is to study the differences between the predicted ablation volume in homogeneous and heterogeneous models of typical radiofrequency (RF) procedures for pain relief. A three-dimensional computational domain comprising of the realistic anatomy of the target tissue was considered in the present study. A comparative analysis was conducted for three different scenarios: (a) a completely homogeneous domain comprising of only muscle tissue, (b) a heterogeneous domain comprising of nerve and muscle tissues, and (c) a heterogeneous domain comprising of bone, nerve and muscle tissues. Finite-element-based simulations were performed to compute the temperature and electrical field distribution during conventional RF procedures for treating pain, and exemplified here for the continuous case. The predicted results reveal that the consideration of heterogeneity within the computational domain results in distorted electric field distribution and leads to a significant reduction in the attained ablation volume during the continuous RF application for pain relief. The findings of this study could provide first-hand quantitative information to clinical practitioners about the impact of such heterogeneities on the efficacy of RF procedures, thereby assisting them in developing standardized optimal protocols for different cases of interest.

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Computational modeling of peripheral pain: a commentary

Cited by 9 publications

References 30 publications

Modeling Neural Behavior and Pain During Bladder Distention using an Agent-based Model of the Central Nucleus of the Amygdala

Modeling Neural Behavior and Pain During Bladder Distention using an Agent-based Model of the Central Nucleus of the Amygdala

Thermal ablation of biological tissues in disease treatment: A review of computational models and future directions

Domain Heterogeneity in Radiofrequency Therapies for Pain Relief: A Computational Study with Coupled Models

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