ArticleScientific reports2017
Studying the role of axon fasciculation during development in a computational model of the Xenopus tadpole spinal cord.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Emergent structural and functional properties of hippocampal multi-cellular aggregates.Frontiers in neuroscience · 2023Article
- Prostaglandin E2 Increases Neurite Length and the Formation of Axonal Loops, and Regulates Cone Turning in Differentiating NE4C Cells Via PKA.Cellular and molecular neurobiology · 2022Article
- Mathematical models of neuronal growth.Biomechanics and modeling in mechanobiology · 2022Review
- Periostin-expressing Schwann cells and endoneurial cardiac fibroblasts contribute to sympathetic nerve fasciculation after birth.Journal of molecular and cellular cardiology · 2021Article
- Neural Derivates of Canine Induced Pluripotent Stem Cells-Like Cells From a Mild Cognitive Impairment Dog.Frontiers in veterinary science · 2021Article
- Manipulation of Axonal Outgrowth via Exogenous Low Forces.International journal of molecular sciences · 2020Review
- Theoretical Models of Neural Development.iScience · 2018Review
- Bifurcations of Limit Cycles in a Reduced Model of the Xenopus Tadpole Central Pattern Generator.Journal of mathematical neuroscience · 2018Article
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Authors and funding
4 authors at 4 institutions in 2 countries.
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Abstract
During nervous system development growing axons can interact with each other, for example by adhering together in order to produce bundles (fasciculation). How does such axon-axon interaction affect the resulting axonal trajectories, and what are the possible benefits of this process in terms of network function? In this paper we study these questions by adapting an existing computational model of the development of neurons in the Xenopus tadpole spinal cord to include interactions between axons. We demonstrate that even relatively weak attraction causes bundles to appear, while if axons weakly repulse each other their trajectories diverge such that they fill the available space. We show how fasciculation can help to ensure axons grow in the correct location for proper network formation when normal growth barriers contain gaps, and use a functional spiking model to show that fasciculation allows the network to generate reliable swimming behaviour even when overall synapse counts are artificially lowered. Although we study fasciculation in one particular organism, our approach to modelling axon growth is general and can be widely applied to study other nervous systems.
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