ArticleJournal of computational neuroscience2017
Propagation and synchronization of reverberatory bursts in developing cultured networks.
Article in Journal of computational neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Hypersynchronous iPSC-derived SHANK2 neuronal networks are rescued by mGluR5 agonism.Stem cell reports · 2025Article
- Breaking the burst: Unveiling mechanisms behind fragmented network bursts in patient-derived neurons.Stem cell reports · 2024Article
- Calcium-Dependent Hyperexcitability in Human Stem Cell-Derived Rett Syndrome Neuronal Networks.Biological psychiatry global open science · 2024Article
- Astrocytic Regulation of Synchronous Bursting in Cortical Cultures: From Local to Global.Cerebral cortex communications · 2020Article
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Authors and funding
4 authors.
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Abstract
Developing networks of neural systems can exhibit spontaneous, synchronous activities called neural bursts, which can be important in the organization of functional neural circuits. Before the network matures, the activity level of a burst can reverberate in repeated rise-and-falls in periods of hundreds of milliseconds following an initial wave-like propagation of spiking activity, while the burst itself lasts for seconds. To investigate the spatiotemporal structure of the reverberatory bursts, we culture dissociated, rat cortical neurons on a high-density multi-electrode array to record the dynamics of neural activity over the growth and maturation of the network. We find the synchrony of the spiking significantly reduced following the initial wave and the activities become broadly distributed spatially. The synchrony recovers as the system reverberates until the end of the burst. Using a propagation model we infer the spreading speed of the spiking activity, which increases as the culture ages. We perform computer simulations of the system using a physiological model of spiking networks in two spatial dimensions and find the parameters that reproduce the observed resynchronization of spiking in the bursts. An analysis of the simulated dynamics suggests that the depletion of synaptic resources causes the resynchronization. The spatial propagation dynamics of the simulations match well with observations over the course of a burst and point to an interplay of the synaptic efficacy and the noisy neural self-activation in producing the morphology of the bursts.
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