{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Faskowitz J"],"funding":["United States - Israel Binational Science Foundation","NIMH NIH HHS","National Institutes of Health"],"pagination":["1044372"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9874302"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["16"],"pubmed_abstract":["Network models of anatomical connections allow for the extraction of quantitative features describing brain organization, and their comparison across brains from different species. Such comparisons can inform our understanding of between-species differences in brain architecture and can be compared to existing taxonomies and phylogenies. Here we performed a quantitative comparative analysis using the MaMI database (Tel Aviv University), a collection of brain networks reconstructed from <i>ex vivo</i> diffusion MRI spanning 125 species and 12 taxonomic orders or superorders. We used a broad range of metrics to measure between-mammal distances and compare these estimates to the separation of species as derived from taxonomy and phylogeny. We found that within-taxonomy order network distances"],"journal":["Frontiers in neuroscience"],"pubmed_title":["Connectome topology of mammalian brains and its relationship to taxonomy and phylogeny."],"pmcid":["PMC9874302"],"funding_grant_id":["R01 MH122957"],"pubmed_authors":["Puxeddu MG","Misic B","Yovel Y","Faskowitz J","Betzel RF","van den Heuvel MP","Assaf Y","Sporns O"],"additional_accession":[]},"is_claimable":false,"name":"Connectome topology of mammalian brains and its relationship to taxonomy and phylogeny.","description":"Network models of anatomical connections allow for the extraction of quantitative features describing brain organization, and their comparison across brains from different species. Such comparisons can inform our understanding of between-species differences in brain architecture and can be compared to existing taxonomies and phylogenies. Here we performed a quantitative comparative analysis using the MaMI database (Tel Aviv University), a collection of brain networks reconstructed from <i>ex vivo</i> diffusion MRI spanning 125 species and 12 taxonomic orders or superorders. We used a broad range of metrics to measure between-mammal distances and compare these estimates to the separation of species as derived from taxonomy and phylogeny. We found that within-taxonomy order network distances","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2026-07-15T22:33:13.759Z","creation":"2025-04-06T14:13:15.17Z"},"accession":"S-EPMC9874302","cross_references":{"pubmed":["36711139"],"doi":["10.3389/fnins.2022.1044372"]}}