Thalamocortical bistable switch as a theoretical model of fibromyalgia pathogenesis inferred from a literature survey.

IF 1.5 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Ilaria Demori, Giulia Giordano, Viviana Mucci, Serena Losacco, Lucio Marinelli, Paolo Massobrio, Franco Blanchini, Bruno Burlando
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引用次数: 2

Abstract

Fibromyalgia (FM) is an unsolved central pain processing disturbance. We aim to provide a unifying model for FM pathogenesis based on a loop network involving thalamocortical regions, i.e., the ventroposterior lateral thalamus (VPL), the somatosensory cortex (SC), and the thalamic reticular nucleus (TRN). The dynamics of the loop have been described by three differential equations having neuron mean firing rates as variables and containing Hill functions to model mutual interactions among the loop elements. A computational analysis conducted with MATLAB has shown a transition from monostability to bistability of the loop behavior for a weakening of GABAergic transmission between TRN and VPL. This involves the appearance of a high-firing-rate steady state, which becomes dominant and is assumed to represent pathogenic pain processing giving rise to chronic pain. Our model is consistent with a bulk of literature evidence, such as neuroimaging and pharmacological data collected on FM patients, and with correlations between FM and immunoendocrine conditions, such as stress, perimenopause, chronic inflammation, obesity, and chronic dizziness. The model suggests that critical targets for FM treatment are to be found among immunoendocrine pathways leading to GABA/glutamate imbalance having an impact on the thalamocortical system.

Abstract Image

Abstract Image

从文献综述中推断丘脑皮质双稳态开关是纤维肌痛发病的理论模型。
纤维肌痛(FM)是一种尚未解决的中枢性疼痛加工障碍。我们的目标是为FM的发病机制提供一个基于循环网络的统一模型,该网络涉及丘脑皮质区域,即丘脑腹后外侧区(VPL)、体感皮层(SC)和丘脑网状核(TRN)。回路的动力学用三个微分方程来描述,这些微分方程以神经元平均放电率为变量,并包含Hill函数来模拟回路元素之间的相互作用。利用MATLAB进行的计算分析表明,由于TRN和VPL之间的gaba能传输减弱,环路行为从单稳态转变为双稳态。这涉及到高射击率稳定状态的出现,它成为主导,并被认为代表引起慢性疼痛的致病性疼痛过程。我们的模型与大量文献证据一致,例如收集的FM患者的神经影像学和药理学数据,以及FM与免疫内分泌状况(如压力、围绝经期、慢性炎症、肥胖和慢性头晕)之间的相关性。该模型表明,在导致GABA/谷氨酸失衡影响丘脑皮质系统的免疫内分泌途径中,可以找到FM治疗的关键靶点。
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来源期刊
CiteScore
2.00
自引率
8.30%
发文量
32
审稿时长
3 months
期刊介绍: The Journal of Computational Neuroscience provides a forum for papers that fit the interface between computational and experimental work in the neurosciences. The Journal of Computational Neuroscience publishes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers investigating the physiological mechanisms underlying pathologies of the nervous system, or papers that report novel technologies of interest to researchers in computational neuroscience, including advances in neural data analysis methods yielding insights into the function of the nervous system, are also welcomed (in this case, methodological papers should include an application of the new method, exemplifying the insights that it yields).It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience.
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