ArticleNature methods2025
Connectivity of single neurons classifies cell subtypes in mouse brains.
Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- A framework for comparative analysis of human and mouse cortical neuron dendrites in corresponding brain regions.Nature neuroscience · 2026Article
- Application of Machine Learning Models to Identify Differences in Neural Electrophysiological Properties Across Estrous Cycle Phases.Neuroinformatics · 2026Article
- POINTseq: Cell-type-specific barcoding reveals single-cell projection architecture of the mouse dopaminergic system.Neuron · 2026Article
- VesiclePy: A machine learning vesicle analysis toolbox for volume electron microscopy.PLoS computational biology · 2026Article
- Concordant transcriptional and morphological remodeling revealed bybioRxiv : the preprint server for biology · 2026Article
- MAPseq2: a sensitive barcoded connectomics method.bioRxiv : the preprint server for biology · 2026Article
- Cell type-specific barcoding reveals the single-neuron projectional architecture of the mouse midbrain dopaminergic system.bioRxiv : the preprint server for biology · 2026Article
- A curvilinear coordinate flatmap for visualizing hippocampal structure and development.bioRxiv : the preprint server for biology · 2026Article
- Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution.Brain informatics · 2026Article
- Identity crisis: exploring the boundaries of cell type identification in the age of single-cell transcriptomics.Frontiers in cellular neuroscience · 2026Article
- Reconstruction of a connectome of single neurons in mouse brains by cross-validating multi-scale multi-modality data.Nature methods · 2025Article
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10 authors.
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Abstract
Classification of single neurons at a brain-wide scale is a way to characterize the structural and functional organization of brains. Here we acquired and standardized a large morphology database of 20,158 mouse neurons and generated a potential connectivity map of single neurons based on their dendritic and axonal arbors. With such an anatomy-morphology-connectivity mapping, we defined neuron connectivity subtypes for neurons in 31 brain regions. We found that cell types defined by connectivity show distinct separation from each other. Within this context, we were able to characterize the diversity in secondary motor cortical neurons, and subtype connectivity patterns in thalamocortical pathways. Our findings underscore the importance of connectivity in characterizing the modularity of brain anatomy at the single-cell level. These results highlight that connectivity subtypes supplement conventionally recognized transcriptomic cell types, electrophysiological cell types and morphological cell types as factors to classify cell classes and their identities.
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