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Integrative analysis of single-neuron projectomes links connectome, transcriptome, and function in the mouse cortex
Le Gao1, Haifang Wang1, Yu Chen1
1Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China.
Neuron
|November 18, 2025
Summary
Researchers mapped nearly 20,000 mouse cortical neurons, revealing 346 subtypes and seven connectivity modules. This detailed brain map links neural structure to gene expression and activity, advancing our understanding of the cortical network.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Systems Neuroscience
Background:
- The mammalian cortex's complex neural network underlies sensory processing, motor control, and cognition.
- Principles of single-neuron connectivity, transcriptome, and activity remain poorly understood.
Purpose of the Study:
- To reconstruct the projectomes of approximately 20,000 neurons in the entire mouse cortex.
- To identify projection-defined neuronal subtypes and their distributions.
- To analyze cortico-cortical and cortico-subcortical connectivity patterns.
Main Methods:
- Reconstruction of neuronal projectomes using advanced tracing techniques.
- Identification and classification of 346 projection-defined neuronal subtypes.
- Analysis of connectivity modules, cortical hierarchy, and topographic maps.
Main Results:
- Discovery of 346 region- and layer-specific projection-defined neuronal subtypes.
- Unveiling of seven cortico-cortical modules with submodular organization and a high-resolution cortical hierarchy.
- Detailed mapping of cortico-subcortical projections, including novel cortico-basal ganglia pathways.
- Demonstration of close correlations between connectivity maps, Ca2+ activity, electrical activity, and gene expression.
Conclusions:
- The study provides a foundational, fine-grained map of the mouse cortical connectome.
- This multimodal analysis links neuronal structure, activity, and gene expression.
- The findings offer a new framework for understanding cortical network organization and function.

