ArticleeLife2022
A connectomics-based taxonomy of mammals.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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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.
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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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 2-Ex vivo imaging: Added value and acquisition.Magnetic resonance in medicine · 2025Guideline
- Comparing the Limbic-Frontal Connectome across the Primate Order: Conservation of Connections and Implications for Translational Neuroscience.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Connectivity of the adult human brain with sequential neurogenesis of circuits and transcriptomics signatures.Nature communications · 2025Article
- Geometric constraints on the architecture of mammalian cortical connectomes.bioRxiv : the preprint server for biology · 2025Article
- Connectomes inform function: from time-varying dynamics to animal behaviour.Natural computing · 2025Article
- Evolution of the Rich Club Properties in Mouse, Macaque, and Human Brain Networks: A Study of Functional Integration, Segregation, and Balance.Neuroscience bulletin · 2025Article
- Emergence and maintenance of modularity in neural networks with Hebbian and anti-Hebbian inhibitory STDP.PLoS computational biology · 2025Article
- Article
- Paradigm shift required for translational research on the brain.Experimental & molecular medicine · 2024Review
- Quantifying synergy and redundancy between networks.Cell reports. Physical science · 2024Article
- Oxygen and the Spark of Human Brain Evolution: Complex Interactions of Metabolism and Cortical Expansion across Development and Evolution.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2024Article
- Article
- Connectome-based reservoir computing with the conn2res toolbox.Nature communications · 2024Article
- Predictability of cortico-cortical connections in the mammalian brain.Network neuroscience (Cambridge, Mass.) · 2024Article
- Towards a biologically annotated brain connectome.Nature reviews. Neuroscience · 2023Review
- Towards multi-modal, multi-species brain atlases: part one.Brain structure & function · 2023Article
- Evolution of cortical geometry and its link to function, behaviour and ecology.Nature communications · 2023Article
- Article
- A connectomics-based taxonomy of mammals.eLife · 2022Article
- Connectome topology of mammalian brains and its relationship to taxonomy and phylogeny.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Mammalian taxonomies are conventionally defined by morphological traits and genetics. How species differ in terms of neural circuits and whether inter-species differences in neural circuit organization conform to these taxonomies is unknown. The main obstacle to the comparison of neural architectures has been differences in network reconstruction techniques, yielding species-specific connectomes that are not directly comparable to one another. Here, we comprehensively chart connectome organization across the mammalian phylogenetic spectrum using a common reconstruction protocol. We analyse the mammalian MRI (MaMI) data set, a database that encompasses high-resolution ex vivo structural and diffusion MRI scans of 124 species across 12 taxonomic orders and 5 superorders, collected using a unified MRI protocol. We assess similarity between species connectomes using two methods: similarity of Laplacian eigenspectra and similarity of multiscale topological features. We find greater inter-species similarities among species within the same taxonomic order, suggesting that connectome organization reflects established taxonomic relationships defined by morphology and genetics. While all connectomes retain hallmark global features and relative proportions of connection classes, inter-species variation is driven by local regional connectivity profiles. By encoding connectomes into a common frame of reference, these findings establish a foundation for investigating how neural circuits change over phylogeny, forging a link from genes to circuits to behaviour.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.