Interplay between biochemical processes and network properties generates neuronal up and down states at the tripartite synapse

Joshi, Shubhada N.; Joshi, Aditya; Joshi, Narendra D.

doi:10.1103/physreve.107.024415

Cited by 6 publications

(8 citation statements)

References 108 publications

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“…Bislang nahm man oft an, dass die SLC‐Bildung in diesen Systemen analog zu herkömmlichen ER‐Flüssigkeiten auf die effektive Anziehung zwischen den Mikroteilchen zurückzuführen ist. Diese Hypothese haben wir nun widerlegt [3]. Wie wir zeigen konnten, können SLCs in komplexen Plasmen auch ohne effektive Anziehung zwischen den Teilchen entstehen – es reicht aus, die Abstoßung zwischen gleich geladenen Mikroteilchen entlang einer Richtung im Vergleich zu den anderen Richtungen zu verringern.…”

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“…Wir haben den Effekt des Ionenflusses auf die Mikroteilchen berücksichtigt, indem wir positiv geladene Punktladungen in einem festgelegten Abstand links und rechts der Mikroteilchen eingefügt haben. Das in der Simulation verwendete Wechselwirkungspotential ist in Abbildung 2 als durchgezogene rote Linie dargestellt, während die gestrichelte schwarze Linie das abstoßende Yukawa‐Potential in Abwesenheit von Ionenschleppen zeigt [3]. Die vertikale grüne gestrichelte Linie markiert die Position der positiven Ladung.…”

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“…Das Potential Φ ist bei großen Abständen abstoßend und nicht anziehend, aber die Abstoßung ist im Vergleich zum Yukawa‐Potential Φ Y reduziert. Das ist besonders deutlich im Einschub in Vergrößerung zu sehen, wo das Wechselwirkungspotential die x‐Achse kreuzt und abstoßend wird (aus [3]).…”

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Kettenbildung im Plasmastaub

Joshi

2023

Physik in unserer Zeit

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Komplexe Plasmen sind Niedertemperaturplasmen, die Mikropartikel enthalten, die auch als Staub bezeichnet werden. Bei Experimenten unter dem Einfluss eines elektrischen Feldes wird häufig beobachtet, dass der Staub lange Ketten bildet, sogenannte „String‐Like Clusters“ (SLCs). Experimente auf der Internationalen Raumstation und Simulationen zeigen, dass diese Ketten auch dann entstehen können, wenn keine Anziehung zwischen den Mikropartikeln vorliegt.

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Kettenbildung im Plasmastaub

Joshi

2023

Physik in unserer Zeit

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“…[17] developed a model comprising 33 ordinary differential equations, which simulates neuronal, astrocytic, extracellular, and vascular compartments. In [18], a neurochemical model of a tripartite synapse was developed, which involves 143 ordinary differential equations. This model predicts the occurrence of local sleep, crucial for cellular resource restoration.…”

Section: Introductionmentioning

confidence: 99%

Effects of time-dependent ATP consumption caused by neuron firing on ATP concentrations in synaptic boutons containing and lacking a stationary mitochondrion

Kuznetsov

2024

Preprint

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The reason why only about half of the presynaptic release sites lack a stationary mitochondrion, and how the sites without a stationary mitochondrion are supplied with ATP, is still not fully understood. This paper develops a mathematical model designed to simulate the transient ATP concentration in presynaptic en passant boutons. The model is utilized to investigate how the ATP concentration responds to increased ATP demand during neuronal firing in boutons with a stationary mitochondrion and those without one. The analysis suggests that neuron firing may cause oscillations in the ATP concentrations, with peak-to-peak amplitudes ranging from 0.4% to 5% of their average values. However, this does not deplete boutons lacking a mitochondrion of ATP; their concentration remains approximately 3.75 times higher than the minimum concentration required for synaptic activity. The variance in average ATP concentrations between boutons containing a stationary mitochondrion and those lacking one ranges from 0.3% to 0.8%, contingent on the distance between the boutons. The model indicates that diffusion-driven ATP transport is rapid enough to adequately supply ATP molecules to boutons lacking a stationary mitochondrion.

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“…Recent studies utilizing calcium imaging techniques have revealed a correlation between neuronal communication and astrocytic signaling, providing concrete evidence for their interplay (Goenaga, Araque, Kofuji, & Herrera Moro Chao, 2023). Furthermore, they have been recognized for their roles in memory formation (Zorec, Horvat, Vardjan, & Verkhratsky, 2015), regulation of synaptic plasticity (De Pittà, Brunel, & Volterra, 2016), decision making (Wang et al, 2017), attention (Guimarães, Madureira, & Madureira, 2018), cognitive processes (Brockett et al, 2018), behavioral regulation (Hwang, Lee, Seo, & Lee, 2021), working memory encoding (De Pittà & Brunel, 2022), generation of up and down states (Joshi, Joshi, & Joshi, 2023), and neurovascular coupling (Tesler, Linne, & Destexhe, 2023).…”

Section: Introductionmentioning

confidence: 99%

Astrocyte-Mediated Neuronal Irregularities and Dynamics: The Complexity of the Tripartite Synapse

Garcia,

Jacquir

2023

Preprint

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Despite significant advancements in recent decades, gaining a comprehensive understanding of brain computations remains a significant challenge in neuroscience. Using computational models is crucial for unraveling this complex phenomenon and is equally indispensable for studying neurological disorders. This endeavor has created many neuronal models that capture brain dynamics at various scales and complexities. These models range from highly detailed multi-compartmental models like the Hodgkin-Huxley model to simpler models like the leaky integrate-and-fire model. However, most existing models do not account for the potential influence of glial cells, particularly astrocytes, on neuronal physiology. This gap persists even with the emerging evidence indicating their critical role in regulating neural network activity, plasticity, and even neurological pathologies. While some literature focuses on modeling interactions between neurons and glial cells, these approaches are often sophisticated, mimicking the complexity of the physiological phenomenon. In our work, we aim to propose a simplified tripartite synapse model encompassing the presynaptic neuron, postsynaptic neuron, and astrocyte. This model is more straightforward yet still includes the primary astrocytic calcium dynamics. We defined the tripartite synapse model based on the Adaptive Exponential Integrate-and-Fire neuron model and a simplified scheme of the astrocyte model previously proposed by Postnov. Our results demonstrate the model’s ability to replicate essential synaptic transmission dynamics attributed to astrocytic calcium dynamics within the context of the tripartite synapse. Through our simulations, we propose that astrocytes can modify and shape the behavior and can introduce irregularities in the firing pattern of both presynaptic and postsynaptic neurons.

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Interplay between biochemical processes and network properties generates neuronal up and down states at the tripartite synapse

Cited by 6 publications

References 108 publications

Kettenbildung im Plasmastaub

Kettenbildung im Plasmastaub

Effects of time-dependent ATP consumption caused by neuron firing on ATP concentrations in synaptic boutons containing and lacking a stationary mitochondrion

Astrocyte-Mediated Neuronal Irregularities and Dynamics: The Complexity of the Tripartite Synapse

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