Possible mechanism of bursting suppression in nociceptive neurons

Dick, O. E.; Крылов, Б. В.; Nozdrachev, A. D.

doi:10.1134/s1607672917020120

Cited by 4 publications

(10 citation statements)

References 7 publications

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“…According to the outcomes of previous studies, ordinary pain can be simulated by a constant input current [52, 54]. Figure 3 showed the behavior of the TG block to a common pain (i.e., constant current).…”

Section: Resultsmentioning

confidence: 99%

“…It has been shown that some ion channels, such as the Na v 1.8 slow sodium channels, play a role in pain pathway and pain intensity modification. In this regard, their synthesis and activity may also cause different neuronal potential and behavior [52]. The HH model has the capability to model and describe the effect of diverse factors influencing the ion channels.…”

Section: Methodsmentioning

confidence: 99%

“…Hyperalgesia is removed by factors decreasing impulse activity of Na v 1.8 channels. That is why these factors are believed to be of use in highly selective pain-killing medicine [52]. Considering the physiological role of the activation gating structure of the slow sodium channels Na v 1.8 in impulse coding of nociceptive information [54], and observing that the modification of specified slow sodium channels in the membrane of nociceptive neurons is the basis of the pain perception [52], it seems that the HH model is able to be a proper candidate for modeling the pain modulation process.…”

Section: Methodsmentioning

confidence: 99%

“…As a result, the extra current for pain intensity plus its corresponding activity fluctuation needs to be considered in the HH model. In fact, the added current is the Na v 1.8 slow sodium channel current specified for pain and pain modulation processing [52]. Therefore, the modifications have been applied by adding two more equations to the main HH equations (Eqs.…”

Section: Methodsmentioning

confidence: 99%

“…(1)–(16) have been introduced in Table 1. These equations are voltage-dependent expressions which are extracted from previous studies [52]. HH model parameters are obtained by space-clamped experiments.…”

Section: Methodsmentioning

confidence: 99%

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A modified Hodgkin–Huxley model to show the effect of motor cortex stimulation on the trigeminal neuralgia network

2019

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Background Trigeminal neuralgia (TN) is a severe neuropathic pain, which has an electric shock-like characteristic. There are some common treatments for this pain such as medicine, microvascular decompression or radio frequency. In this regard, transcranial direct current stimulation (tDCS) is another therapeutic method to reduce pain, which has been recently attracting the therapists’ attention. The positive effect of tDCS on TN was shown in many previous studies. However, the mechanism of the tDCS effect has remained unclear. Objective This study aims to model the neuronal behavior of the main known regions of the brain participating in TN pathways to study the effect of transcranial direct current stimulation. Method The proposed model consists of several blocks: (1) trigeminal nerve, (2) trigeminal ganglion, (3) PAG (periaqueductal gray in the brainstem), (4) thalamus, (5) motor cortex (M1) and (6) somatosensory cortex (S1). Each of these components is represented by a modified Hodgkin-Huxley (HH) model. The modification of the HH model was done based on some neurological facts of pain sodium channels. The input of the model involves any stimuli to the ‘trigeminal nerve,’ which cause the pain, and the output is the activity of the somatosensory cortex. An external current, which is considered as an electrical current, was applied to the motor cortex block of the model. Result The results showed that by decreasing the conductivity of the slow sodium channels (pain channels) and applying tDCS over the M1, the activity of the somatosensory cortex would be reduced. This reduction can cause pain relief. Conclusion The proposed model provided some possible suggestions about the relationship between the effects of tDCS and associated components in TN, and also the relationship between the pain measurement index, somatosensory cortex activity, and the strength of tDCS.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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A modified Hodgkin–Huxley model to show the effect of motor cortex stimulation on the trigeminal neuralgia network

2019

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Mathematical and Computational Models for Pain: A Systematic Review

2021

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Objective There is no single prevailing theory of pain that explains its origin, qualities, and alleviation. Although many studies have investigated various molecular targets for pain management, few have attempted to examine the etiology or working mechanisms of pain through mathematical or computational model development. In this systematic review, we identified and classified mathematical and computational models for characterizing pain. Methods The databases queried were Science Direct and PubMed, yielding 560 articles published prior to January 1st, 2020. After screening for inclusion of mathematical or computational models of pain, 31 articles were deemed relevant. Results Most of the reviewed articles utilized classification algorithms to categorize pain and no-pain conditions. We found the literature heavily focused on the application of existing models or machine learning algorithms to identify the presence or absence of pain, rather than to explore features of pain that may be used for diagnostics and treatment. Conclusions Although understudied, the development of mathematical models may augment the current understanding of pain by providing directions for testable hypotheses of its underlying mechanisms. Additional focus is needed on developing models that seek to understand the underlying mechanisms of pain, as this could potentially lead to major breakthroughs in its treatment.

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Development and study of the stability of comenic acid solutions

Bitkina

Basevich

2021

Razrabotka i registraciâ lekarstvennyh sredstv

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Introduction. The article presents the development of solutions based on the comenic acid substance. The criteria of the studied compositions that affect their stability during storage are evaluated within the framework of the Quality-by-Design concept. The optimal compositions of comenic acid solutions have been established.Aim. The purpose of the study is to develop solutions based on the comenic acid substance and determine the most stable variants of execution.Materials and methods. The study of comenic acid solutions was carried out by using a laboratory pH meter PB-11-P11 (SARTORIUS, Germany) and a liquid/ion chromatograph "Stayer" ("Akvilon" JSC, Russia).Results and discussion. The study made it possible to determine the most stable compositions of solutions based on the comenic acid substance and to establish optimal indicators of their stability criteria. It was found that solutions of comenic acid are the most stable in the pH range: from 4.0 to 6.0. At the same time, regardless of the studied methods of neutralization of comenic acid, solutions are unstable at concentrations of 25 mg/ml or more.Conclusion. As a result of the study, the optimal compositions of solutions based on the comenic acid substance were determined. A comparative analysis of excipients that increase the solubility of comenic acid in aqueous solvents is performed. The stability criteria of the studied solutions are established and their values for ensuring the stability of the developed drug are determined.

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Possible mechanism of bursting suppression in nociceptive neurons

Cited by 4 publications

References 7 publications

A modified Hodgkin–Huxley model to show the effect of motor cortex stimulation on the trigeminal neuralgia network

A modified Hodgkin–Huxley model to show the effect of motor cortex stimulation on the trigeminal neuralgia network

Mathematical and Computational Models for Pain: A Systematic Review

Development and study of the stability of comenic acid solutions

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