ArticleNature neuroscience2023
Single-neuron analysis of dendrites and axons reveals the network organization in mouse prefrontal cortex.
Article in Nature neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- A framework for comparative analysis of human and mouse cortical neuron dendrites in corresponding brain regions.Nature neuroscience · 2026Article
- Top-down medial prefrontal cortex-to-hypothalamic paraventricular nucleus circuit regulates social avoidance and conditioned fear in male mice.Cell discovery · 2026Article
- Concordant transcriptional and morphological remodeling revealed bybioRxiv : the preprint server for biology · 2026Article
- A prefrontal cortex map based on single-neuron activity.Nature neuroscience · 2026Article
- Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution.Brain informatics · 2026Article
- Human Neocortical Glutamatergic Neurons Revealed Through Multimodal Profiling.bioRxiv : the preprint server for biology · 2026Article
- A mouse brain atlas based on dendritic microenvironments.Nature neuroscience · 2026Article
- Activation of hypothalamic-pontine-spinal pathway promotes locomotor initiation and functional recovery after spinal cord injury in mice.Nature communications · 2025Article
- Dendritome mapping reveals the spatial organization of striatal neuron morphology.Nature neuroscience · 2025Article
- Automatic and accurate reconstruction of long-range axonal projections of single-neuron in mouse brain.eLife · 2025Article
- Dimensionality and dynamics for next-generation artificial neural networks.Patterns (New York, N.Y.) · 2025Review
- Unique nicotinic responses are present in distinct subtypes of mouse medial prefrontal layer V pyramidal neurons.Scientific reports · 2025Article
- NeuroXiv: AI-powered open databasing and dynamic mining of brain-wide neuron morphometry.Nature methods · 2025Article
- Integrated Classification of Cortical Cells and Quantitative Projectomic Mapping Unveil Organizational Principles of Brain-Wide Connectomes at Single Cell Level.bioRxiv : the preprint server for biology · 2025Article
- A Multi-Scale Neuron Morphometry Dataset from Peta-voxel Mouse Whole-Brain Images.Scientific data · 2025Article
- Transcriptomic and spatial GABAergic neuron subtypes in zona incerta mediate distinct innate behaviors.Nature communications · 2025Article
- Competition effects regulating the composition of the microRNA pool.Journal of the Royal Society, Interface · 2025Article
- Neuron identity switches in response to the gradient gene expression pathway.Frontiers in cellular neuroscience · 2025Article
- Article
- Neuronal diversity and stereotypy at multiple scales through whole brain morphometry.Nature communications · 2024Article
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Authors and funding
6 authors.
Funding
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Abstract
The structures of dendrites and axons form the basis for the connectivity of neural network, but their precise relationship at single-neuron level remains unclear. Here we report the complete dendrite and axon morphology of nearly 2,000 neurons in mouse prefrontal cortex (PFC). We identified morphological variations of somata, dendrites and axons across laminar layers and PFC subregions and the general rules of somatodendritic scaling with cytoarchitecture. We uncovered 24 morphologically distinguishable dendrite subtypes in 1,515 pyramidal projection neurons and 405 atypical pyramidal projection neurons and spiny stellate neurons with unique axon projection patterns. Furthermore, correspondence analysis among dendrites, local axons and long-range axons revealed coherent morphological changes associated with electrophysiological phenotypes. Finally, integrative dendrite-axon analysis uncovered the organization of potential intra-column, inter-hemispheric and inter-column connectivity among projection neuron types in PFC. Together, our study provides a comprehensive structural repertoire for the reconstruction and analysis of PFC neural network.
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