ArticleCell reports2022
The impact of neuron morphology on cortical network architecture.
Article in Cell reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
- Structural characteristics of local cortical networks wired by distance dependent connectivity rules.BMC neuroscience · 2026Article
- An in silico framework for dissecting the mechanistic origins of in vivo recorded neuronal activity.PLoS computational biology · 2026Article
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- Interrogating functional connectivity of in vitro neural glia tissue model modulated through integrative control of matrix stiffness and a neurotrophic factor.Biomaterials · 2026Article
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- Transcriptomic disruption and hypoactivity in DYT-SGCE medial ganglionic eminence-patterned inhibitory neurons.Brain : a journal of neurology · 2026Article
- Interregional human assembloids recapitulate fetal brain morphologies and enhance neuronal complexity.bioRxiv : the preprint server for biology · 2025Article
- Optimizing the in vitro neuronal microenvironment to mitigate phototoxicity in live-cell imaging.Stem cell research & therapy · 2025Article
- Thalamus enables active dendritic coupling of inputs arriving at different cortical layers.Nature communications · 2025Article
- Of mice and men: Dendritic architecture differentiates human from mouse neuronal networks.iScience · 2025Article
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- Thalamocortical feedback selectively controls pyramidal neuron excitability.Nature communications · 2025Article
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- Hyaluronic Acid-Based 3D Bioprinted Hydrogel Structure for Directed Axonal Guidance and Modeling Innervation In Vitro.Advanced healthcare materials · 2025Article
- A Roadmap of Peptide-Based Materials in Neural Regeneration.Advanced healthcare materials · 2025Review
- Combined topological and spatial constraints are required to capture the structure of neural connectomes.Network neuroscience (Cambridge, Mass.) · 2025Article
- Sparse connectivity enables efficient information processing in cortex-like artificial neural networks.Frontiers in neural circuits · 2025Article
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Authors and funding
7 authors.
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Abstract
The neurons in the cerebral cortex are not randomly interconnected. This specificity in wiring can result from synapse formation mechanisms that connect neurons, depending on their electrical activity and genetically defined identity. Here, we report that the morphological properties of the neurons provide an additional prominent source by which wiring specificity emerges in cortical networks. This morphologically determined wiring specificity reflects similarities between the neurons' axo-dendritic projections patterns, the packing density, and the cellular diversity of the neuropil. The higher these three factors are, the more recurrent is the topology of the network. Conversely, the lower these factors are, the more feedforward is the network's topology. These principles predict the empirically observed occurrences of clusters of synapses, cell type-specific connectivity patterns, and nonrandom network motifs. Thus, we demonstrate that wiring specificity emerges in the cerebral cortex at subcellular, cellular, and network scales from the specific morphological properties of its neuronal constituents.
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