Articles producció científica> Enginyeria Informàtica i Matemàtiques

Functional strengthening through synaptic scaling upon connectivity disruption in neuronal cultures

  • Identification data

    Identifier: imarina:9381083
    Authors:
    Estevez-Priego, EstefaniaTeller, SaraGranell, ClaraArenas, AlexSoriano, Jordi
    Abstract:
    Author Summary Neuronal circuits exhibit homeostatic plasticity mechanisms to cope with perturbations or damage. A central mechanism is 'synaptic scaling,' a self-organized response in which the strength of neurons' excitatory synapses is adjusted to compensate for activity variations. Here we present experiments in which the excitatory connectivity of in vitro cortical networks is progressively weakened through chemical action. The spontaneous activity and effective connectivity of the whole network is monitored as degradation progresses, and the capacity of the network for broad information communication is quantified through the global efficiency. We observed that the network responded to the perturbation by strengthening the effective connectivity, reaching a hyperefficient state for moderate perturbations. The study proves the importance of 'synaptic scaling' as a driver for functional reorganization and network-wide resilience. An elusive phenomenon in network neuroscience is the extent of neuronal activity remodeling upon damage. Here, we investigate the action of gradual synaptic blockade on the effective connectivity in cortical networks in vitro. We use two neuronal cultures configurations-one formed by about 130 neuronal aggregates and another one formed by about 600 individual neurons-and monitor their spontaneous activity upon progressive weakening of excitatory connectivity. We report that the effective connectivity in all cultures exhibits a first phase of transient strengthening followed by a second phase of steady deterioration. We quantify these phases by measuring G(EFF), the global efficiency in processing network information. We term hyperefficiency the sudden strengthening of G(EFF) upon network deterioration, which increases by 20-50% depending on
  • Others:

    Author, as appears in the article.: Estevez-Priego, Estefania; Teller, Sara; Granell, Clara; Arenas, Alex; Soriano, Jordi
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: Arenas Moreno, Alejandro
    Keywords: Calcium imaging Cnqx Effective connectivity Functional organization Global efficiency Homeostatic plasticity Modulatio Neuronal cultures Synaptic scalin Synaptic scaling
    Abstract: Author Summary Neuronal circuits exhibit homeostatic plasticity mechanisms to cope with perturbations or damage. A central mechanism is 'synaptic scaling,' a self-organized response in which the strength of neurons' excitatory synapses is adjusted to compensate for activity variations. Here we present experiments in which the excitatory connectivity of in vitro cortical networks is progressively weakened through chemical action. The spontaneous activity and effective connectivity of the whole network is monitored as degradation progresses, and the capacity of the network for broad information communication is quantified through the global efficiency. We observed that the network responded to the perturbation by strengthening the effective connectivity, reaching a hyperefficient state for moderate perturbations. The study proves the importance of 'synaptic scaling' as a driver for functional reorganization and network-wide resilience. An elusive phenomenon in network neuroscience is the extent of neuronal activity remodeling upon damage. Here, we investigate the action of gradual synaptic blockade on the effective connectivity in cortical networks in vitro. We use two neuronal cultures configurations-one formed by about 130 neuronal aggregates and another one formed by about 600 individual neurons-and monitor their spontaneous activity upon progressive weakening of excitatory connectivity. We report that the effective connectivity in all cultures exhibits a first phase of transient strengthening followed by a second phase of steady deterioration. We quantify these phases by measuring G(EFF), the global efficiency in processing network information. We term hyperefficiency the sudden strengthening of G(EFF) upon network deterioration, which increases by 20-50% depending on culture type. Relying on numerical simulations we reveal the role of synaptic scaling, an activity-dependent mechanism for synaptic plasticity, in counteracting the perturbative action, neatly reproducing the observed hyperefficiency. Our results demonstrate the importance of synaptic scaling as resilience mechanism.
    Thematic Areas: Applied mathematics Artificial intelligence Computer science applications General neuroscience Neuroscience (all) Neuroscience (miscellaneous) Neurosciences
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: alexandre.arenas@urv.cat
    Author identifier: 0000-0003-0937-0334
    Record's date: 2024-09-28
    Papper version: info:eu-repo/semantics/publishedVersion
    Papper original source: Netw Neurosci. 4 (4): 1160-1180
    APA: Estevez-Priego, Estefania; Teller, Sara; Granell, Clara; Arenas, Alex; Soriano, Jordi (2020). Functional strengthening through synaptic scaling upon connectivity disruption in neuronal cultures. Netw Neurosci, 4(4), 1160-1180. DOI: 10.1162/netn_a_00156
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2020
    Publication Type: Journal Publications
  • Keywords:

    Applied Mathematics,Artificial Intelligence,Computer Science Applications,Neuroscience (Miscellaneous),Neurosciences
    Calcium imaging
    Cnqx
    Effective connectivity
    Functional organization
    Global efficiency
    Homeostatic plasticity
    Modulatio
    Neuronal cultures
    Synaptic scalin
    Synaptic scaling
    Applied mathematics
    Artificial intelligence
    Computer science applications
    General neuroscience
    Neuroscience (all)
    Neuroscience (miscellaneous)
    Neurosciences
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