ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
Organizational Principles of the Primate Cerebral Cortex at the Single-Cell Level.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Oxidative stress in neurodegeneration: from a simple insult to a dynamic regulator.Redox report : communications in free radical research · 2026Review
- Re-emergence of orientation coding in primate IT cortex and deep networks reveals functional hubs for visual processing.bioRxiv : the preprint server for biology · 2026Article
- Integrated ERK-PKA-YAP/TAZ-SHH Signaling Orchestrates Cortical Radial Glia Identity and Lineage Diversification.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Organizational Principles of the Primate Cerebral Cortex at the Single-Cell Level.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The primate cerebral cortex, the major organ for cognition, consists of an immense number of neurons. However, the organizational principles governing these neurons remain unclear. By accessing the single-cell spatial transcriptome of over 25 million neuron cells across the entire macaque cortex, it is discovered that the distribution of neurons within cortical layers is highly non-random. Strikingly, over three-quarters of these neurons are located in distinct neuronal clusters. Within these clusters, different cell types tend to collaborate rather than function independently. Typically, excitatory neuron clusters mainly consist of excitatory-excitatory combinations, while inhibitory clusters primarily contain excitatory-inhibitory combinations. Both cluster types have roughly equal numbers of neurons in each layer. Importantly, most excitatory and inhibitory neuron clusters form spatial partnerships, indicating a balanced local neuronal network and correlating with specific functional regions. These organizational principles are conserved across mouse cortical regions. These findings suggest that different brain regions of the cortex may exhibit similar mechanisms at the neuronal population level.
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Registered trials
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