ArticleFrontiers in neural circuits2020
Neural Interactions in Developing Rhythmogenic Spinal Networks: Insights From Computational Modeling.
Article in Frontiers in neural circuits, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Biophysical modelling of intrinsic cardiac nervous system neuronal electrophysiology based on single-cell transcriptomics.The Journal of physiology · 2025Article
- Synaptic connectivity amongst components of the locomotor central pattern generator.Frontiers in neural circuits · 2022Review
- From decision to action: Detailed modelling of frog tadpoles reveals neuronal mechanisms of decision-making and reproduces unpredictable swimming movements in response to sensory signals.PLoS computational biology · 2021Article
- Contributions of h- and NaFrontiers in cellular neuroscience · 2021Article
- Neural Interactions in Developing Rhythmogenic Spinal Networks: Insights From Computational Modeling.Frontiers in neural circuits · 2020Article
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4 authors.
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Abstract
The mechanisms involved in generation of rhythmic locomotor activity in the mammalian spinal cord remain poorly understood. These mechanisms supposedly rely on both intrinsic properties of constituting neurons and interactions between them. A subset of Shox2 neurons was suggested to contribute to generation of spinal locomotor activity, but the possible cellular basis for rhythmic bursting in these neurons remains unknown. Ha and Dougherty (2018) recently revealed the presence of bidirectional electrical coupling between Shox2 neurons in neonatal spinal cords, which can be critically involved in neuronal synchronization and generation of populational bursting. Gap junctional connections found between functionally-related Shox2 interneurons decrease with age, possibly being replaced by increasing interactions through chemical synapses. Here, we developed a computational model of a heterogeneous population of neurons sparsely connected by electrical or/and chemical synapses and investigated the dependence of frequency of populational bursting on the type and strength of neuronal interconnections. The model proposes a mechanistic explanation that can account for the emergence of a synchronized rhythmic activity in the neuronal population and provides insights into the possible role of gap junctional coupling between Shox2 neurons in the spinal mechanisms for locomotor rhythm generation.
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