Connectome topology of mammalian brains and its relationship to taxonomy and phylogeny
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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2022.1044372/full |
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| author | Joshua Faskowitz Maria Grazia Puxeddu Martijn P. van den Heuvel Bratislav Mišić Yossi Yovel Yaniv Assaf Richard F. Betzel Richard F. Betzel Richard F. Betzel Richard F. Betzel Olaf Sporns Olaf Sporns Olaf Sporns Olaf Sporns |
| author_facet | Joshua Faskowitz Maria Grazia Puxeddu Martijn P. van den Heuvel Bratislav Mišić Yossi Yovel Yaniv Assaf Richard F. Betzel Richard F. Betzel Richard F. Betzel Richard F. Betzel Olaf Sporns Olaf Sporns Olaf Sporns Olaf Sporns |
| author_sort | Joshua Faskowitz |
| collection | DOAJ |
| 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 ex vivo 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 are significantly closer than between-taxonomy network distances, and this relation holds for several measures of network distance. Furthermore, to estimate the evolutionary divergence between species, we obtained phylogenetic distances across 10,000 plausible phylogenetic trees. The anatomical network distances were rank-correlated with phylogenetic distances 10,000 times, creating a distribution of coefficients that demonstrate significantly positive correlations between network and phylogenetic distances. Collectively, these analyses demonstrate species-level organization across scales and informational sources: we relate brain networks distances, derived from MRI, with evolutionary distances, derived from genotyping data. |
| first_indexed | 2024-04-10T23:43:06Z |
| format | Article |
| id | doaj.art-e4a4901c43d94364b4d627d363303a85 |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-04-10T23:43:06Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-e4a4901c43d94364b4d627d363303a852023-01-11T05:36:09ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2023-01-011610.3389/fnins.2022.10443721044372Connectome topology of mammalian brains and its relationship to taxonomy and phylogenyJoshua Faskowitz0Maria Grazia Puxeddu1Martijn P. van den Heuvel2Bratislav Mišić3Yossi Yovel4Yaniv Assaf5Richard F. Betzel6Richard F. Betzel7Richard F. Betzel8Richard F. Betzel9Olaf Sporns10Olaf Sporns11Olaf Sporns12Olaf Sporns13Department of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, IN, United StatesDepartment of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, IN, United StatesDepartment of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, NetherlandsMontreal Neurological Institute, McGill University, Montreal, QC, CanadaSchool of Neurobiology, Biochemistry and Biophysics, Tel Aviv University, Tel Aviv-Yafo, IsraelSchool of Neurobiology, Biochemistry and Biophysics, Tel Aviv University, Tel Aviv-Yafo, IsraelDepartment of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, IN, United StatesProgram in Neuroscience, Indiana University Bloomington, Bloomington, IN, United StatesProgram in Cognitive Science, Indiana University Bloomington, Bloomington, IN, United StatesIndiana University Network Science Institute, Indiana University Bloomington, Bloomington, IN, United StatesDepartment of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, IN, United StatesProgram in Neuroscience, Indiana University Bloomington, Bloomington, IN, United StatesProgram in Cognitive Science, Indiana University Bloomington, Bloomington, IN, United StatesIndiana University Network Science Institute, Indiana University Bloomington, Bloomington, IN, United StatesNetwork 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 ex vivo 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 are significantly closer than between-taxonomy network distances, and this relation holds for several measures of network distance. Furthermore, to estimate the evolutionary divergence between species, we obtained phylogenetic distances across 10,000 plausible phylogenetic trees. The anatomical network distances were rank-correlated with phylogenetic distances 10,000 times, creating a distribution of coefficients that demonstrate significantly positive correlations between network and phylogenetic distances. Collectively, these analyses demonstrate species-level organization across scales and informational sources: we relate brain networks distances, derived from MRI, with evolutionary distances, derived from genotyping data.https://www.frontiersin.org/articles/10.3389/fnins.2022.1044372/fullnetwork neuroscienceconnectomicsmammalsphylogenycomparative neuroanatomyconnectome analysis |
| spellingShingle | Joshua Faskowitz Maria Grazia Puxeddu Martijn P. van den Heuvel Bratislav Mišić Yossi Yovel Yaniv Assaf Richard F. Betzel Richard F. Betzel Richard F. Betzel Richard F. Betzel Olaf Sporns Olaf Sporns Olaf Sporns Olaf Sporns Connectome topology of mammalian brains and its relationship to taxonomy and phylogeny Frontiers in Neuroscience network neuroscience connectomics mammals phylogeny comparative neuroanatomy connectome analysis |
| title | Connectome topology of mammalian brains and its relationship to taxonomy and phylogeny |
| title_full | Connectome topology of mammalian brains and its relationship to taxonomy and phylogeny |
| title_fullStr | Connectome topology of mammalian brains and its relationship to taxonomy and phylogeny |
| title_full_unstemmed | Connectome topology of mammalian brains and its relationship to taxonomy and phylogeny |
| title_short | Connectome topology of mammalian brains and its relationship to taxonomy and phylogeny |
| title_sort | connectome topology of mammalian brains and its relationship to taxonomy and phylogeny |
| topic | network neuroscience connectomics mammals phylogeny comparative neuroanatomy connectome analysis |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2022.1044372/full |
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