ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2012
Digital morphometry of rat cerebellar climbing fibers reveals distinct branch and bouton types.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
- Unsupervised classification of brain-wide axons reveals the presubiculum neuronal projection blueprint.Nature communications · 2024Article
- Afferent convergence to a shared population of interneuron AMPA receptors.Nature communications · 2023Article
- A Method for Estimating the Potential Synaptic Connections Between Axons and Dendrites From 2D Neuronal Images.Bio-protocol · 2021Article
- Rack1 Controls Parallel Fiber-Purkinje Cell Synaptogenesis and Synaptic Transmission.Frontiers in cellular neuroscience · 2019Article
- An open repository for single-cell reconstructions of the brain forest.Scientific data · 2018Article
- AII amacrine cells: quantitative reconstruction and morphometric analysis of electrophysiologically identified cells in live rat retinal slices imaged with multi-photon excitation microscopy.Brain structure & function · 2017Article
- Article
- Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue.Frontiers in cellular neuroscience · 2016Review
- Towards the automatic classification of neurons.Trends in neurosciences · 2015Review
- The importance of metadata to assess information content in digital reconstructions of neuronal morphology.Cell and tissue research · 2015Article
- Reappraisal of Bergmann glial cells as modulators of cerebellar circuit function.Frontiers in cellular neuroscience · 2015Review
- Statistical analysis and data mining of digital reconstructions of dendritic morphologies.Frontiers in neuroanatomy · 2014Article
- Spillover-mediated feedforward inhibition functionally segregates interneuron activity.Neuron · 2013Article
- The Cav3-Kv4 complex acts as a calcium sensor to maintain inhibitory charge transfer during extracellular calcium fluctuations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Article
- Structural plasticity of climbing fibers and the growth-associated protein GAP-43.Frontiers in neural circuits · 2013Review
- New insights on vertebrate olivo-cerebellar climbing fibers from computerized morphological reconstructions.BioarchitectureArticle
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4 authors.
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Abstract
Cerebellar climbing fibers (CFs) provide powerful excitatory input to Purkinje cells (PCs), which represent the sole output of the cerebellar cortex. Recent discoveries suggest that CFs have information-rich signaling properties important for cerebellar function, beyond eliciting the well known all-or-none PC complex spike. CF morphology has not been quantitatively analyzed at the same level of detail as its biophysical properties. Because morphology can greatly influence function, including the capacity for information processing, it is important to understand CF branching structure in detail, as well as its variability across and within arbors. We have digitally reconstructed 68 rat CFs labeled using biotinylated dextran amine injected into the inferior olive and comprehensively quantified their morphology. CF structure was considerably diverse even within the same anatomical regions. Distinctly identifiable primary, tendril, and distal branches could be operationally differentiated by the relative size of the subtrees at their initial bifurcations. Additionally, primary branches were more directed toward the cortical surface and had fewer and less pronounced synaptic boutons, suggesting they prioritize efficient and reliable signal propagation. Tendril and distal branches were spatially segregated and bouton dense, indicating specialization in signal transmission. Furthermore, CFs systematically targeted molecular layer interneuron cell bodies, especially at terminal boutons, potentially instantiating feedforward inhibition on PCs. This study offers the most detailed and comprehensive characterization of CF morphology to date. The reconstruction files and metadata are publicly distributed at NeuroMorpho.org.
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