Cited by 14Fibromyalgia and Chronic Fatigue Syndrome ResearchPain Mechanisms and TreatmentsNeural dynamics and brain function

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

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Demori, Ilaria, Giordano, Giulia, Mucci, Viviana, Losacco, Serena, Marinelli, Lucio, Massobrio, Paolo, Blanchini, Franco, Burlando, Bruno·2022·Journal of Computational Neuroscience

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.

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Crossref · 10.1007/s10827-022-00826-8

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  • For b = 1, the thalamocortical loop system is monostable for a > 0.265, with a single basin of attraction and a low-firing-rate steady state.

    “In our previous study, we have shown that for b = 1, i.e. a theoretical maximal value for the glutamatergic strength, the system is monostable for a>0.265, with a single basin of attraction and a low-firing-rate steady state (see Box 1).”

    From Fibromyalgia pathogenesis explained by a neuroendocrine multistable model (2024) · cites this paper as [18]

    In “Acquisition of bistability for inhibitory GABAergic weakening” (page unavailable), the paper reports a single low-firing-rate steady state and one basin of attraction before the bifurcation at a = 0.265. Our copy does not specify b = 1 or identify b as glutamatergic strength, so it does not support that condition attached to the result. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • The thalamocortical loop system can globally behave as a monostable system for stronger GABAergic transmission, or as a bistable system for a weakening of GABAergic transmission.

    “we have demonstrated that it can globally behave as a monostable system (see Box 1) (when the negative loop is dominant) for stronger GABAergic transmission, or as a bistable system (when the positive loop is dominant) for a weakening of GABAergic transmission [18].”
  • At a = 0.265 there is a bifurcation point, so that if a goes below this value the system becomes bistable, acquiring an additional high-firing-rate steady state.

    “At a = 0.265 there is a bifurcation point (see Box 1), so that if a goes below this value the system becomes bistable, acquiring an additional high-firing-rate steady state.”
  • Fibromyalgia chronic pain depends on malfunctioning of a thalamocortical loop network.

    “We have previously proposed that FM chronic pain depends on the malfunctioning of a thalamocortical loop network (Fig 1) [18].”
  • The Hill coefficient for input-output neuron firing rate relationship of the thalamocortical model is 2.5.

    “are higher than those derived for the input-output neuron firing rate relationship of our thalamocortical model, h = 2.5 [18]”

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Authors
Demori, I., Giordano, G., Mucci, V., Losacco, S., Marinelli, L., Massobrio, P., Blanchini, F., & Burlando, B.
Affiliations
  • University of Genoa (IT)
  • University of Trento (IT)
  • Western Sydney University (AU)
  • Ospedale Policlinico San Martino (IT)
  • University of Udine (IT)
Corresponding author
Burlando, Bruno
Venue
Journal of Computational Neuroscience
Published
2022-07-11
Volume
50
Issue
4
Pages
471-484
ISSN
  • 0929-5313 (ISSN-L)
  • 1573-6873
OpenAlex
W4285012442
Cited by
14
References
123
Citations by year
2026: 3 · 2025: 3 · 2024: 6 · 2023: 2
FWCI
1.79
Type
journal article
Language
en
Open access
Locations
  • Journal of Computational Neuroscience (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Institutional Research Information System (Università degli Studi di Trento) (submittedVersion, cc-by)
  • Institutional Research Information System (University of Udine) (submittedVersion, cc-by)
  • CINECA IRIS Institutial Research Information System (University of Genoa) (submittedVersion, other-oa)
Funders
Università degli Studi di Genova (100006-2020-SA-FRA_001)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Fibromyalgia and Chronic Fatigue Syndrome Research
  • Health Sciences › Medicine › Physiology › Pain Mechanisms and Treatments
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
fibromyalgia, thalamic reticular nucleus, somatosensory cortex, GABAergic neurotransmission, Hill function, chronic pain, central pain processing, stress, perimenopause, chronic inflammation, obesity, chronic dizziness
MeSH terms
Female, Fibromyalgia, Humans, Models, Neurological, Neural Pathways, Pain, Thalamic Nuclei, Thalamus

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