ArticleFrontiers in synaptic neuroscience2020
Modeling the Shape of Synaptic Spines by Their Actin Dynamics.
Article in Frontiers in synaptic neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed.
- Synaptic spine head morphodynamics from graph grammar rules for actin dynamics.bioRxiv : the preprint server for biology · 2026Article
- Calcium dynamics in small spaces: Lessons learned from modeling in dendritic spines.Biophysical journal · 2025Review
- The synaptic vesicle cluster as a controller of pre- and postsynaptic structure and function.The Journal of physiology · 2025Review
- Long-term potentiation-induced changes in actin dynamics and spine geometry persist on the timescale of the synaptic tag.Communications biology · 2025Article
- Article
- TAF15 downregulation contributes to the benefits of physical training on dendritic spines and working memory in aged mice.Aging cell · 2024Article
- Linking spontaneous and stimulated spine dynamics.Communications biology · 2023Article
- Dendritic Spines: Synaptogenesis and Synaptic Pruning for the Developmental Organization of Brain Circuits.Advances in neurobiology · 2023Article
- Explicit Calculation of Structural Commutation Relations for Stochastic and Dynamical Graph Grammar Rule Operators in Biological Morphodynamics.Frontiers in systems biology · 2022Article
- Dendritic spine morphology regulates calcium-dependent synaptic weight change.The Journal of general physiology · 2022Article
- Electrical recordings from dendritic spines of adult mouse hippocampus and effect of the actin cytoskeleton.Frontiers in molecular neuroscience · 2022Article
- Dendritic Spines: Mediators of Cognitive Resilience in Aging and Alzheimer's Disease.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2021Review
- Exploring new roles for actin upon LTP induction in dendritic spines.Scientific reports · 2021Article
- Reproducing asymmetrical spine shape fluctuations in a model of actin dynamics predicts self-organized criticality.Scientific reports · 2021Article
- Mechanical Principles Governing the Shapes of Dendritic Spines.Frontiers in physiology · 2021Article
- Quantitative Synaptic Biology: A Perspective on Techniques, Numbers and Expectations.International journal of molecular sciences · 2020Review
- Modeling the Shape of Synaptic Spines by Their Actin Dynamics.Frontiers in synaptic neuroscience · 2020Article
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4 authors.
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Abstract
Dendritic spines are the morphological basis of excitatory synapses in the cortex and their size and shape correlates with functional synaptic properties. Recent experiments show that spines exhibit large shape fluctuations that are not related to activity-dependent plasticity but nonetheless might influence memory storage at their synapses. To investigate the determinants of such spontaneous fluctuations, we propose a mathematical model for the dynamics of the spine shape and analyze it in 2D-related to experimental microscopic imagery-and in 3D. We show that the spine shape is governed by a local imbalance between membrane tension and the expansive force from actin bundles that originates from discrete actin polymerization foci. Experiments have shown that only few such polymerization foci co-exist at any time in a spine, each having limited life time. The model shows that the momentarily existing set of such foci pushes the membrane along certain directions until foci are replaced and other directions may now be affected. We explore these relations in depth and use our model to predict shape and temporal characteristics of spines from the different biophysical parameters involved in actin polymerization. Approximating the model by a single recursive equation we finally demonstrate that the temporal evolution of the number of active foci is sufficient to predict the size of the model-spines. Thus, our model provides the first platform to study the relation between molecular and morphological properties of the spine with a high degree of biophysical detail.
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