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Concurrent mapping of brain ontogeny and phylogeny within a common space: Standardized tractography and applications

Developmental and evolutionary effects on brain organization are complex, yet linked, as evidenced by the correspondence in cortical area expansion across these vastly different time scales. However, it is still not possible to study concurrently the ontogeny and phylogeny of cortical areal connecti...

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Autores principales: Warrington, Shaun, Thompson, Elinor, Bastiani, Matteo, Dubois, Jessica, Baxter, Luke, Slater, Rebeccah, Jbabdi, Saad, Mars, Rogier B., Sotiropoulos, Stamatios N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581484/
https://www.ncbi.nlm.nih.gov/pubmed/36260675
http://dx.doi.org/10.1126/sciadv.abq2022
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author Warrington, Shaun
Thompson, Elinor
Bastiani, Matteo
Dubois, Jessica
Baxter, Luke
Slater, Rebeccah
Jbabdi, Saad
Mars, Rogier B.
Sotiropoulos, Stamatios N.
author_facet Warrington, Shaun
Thompson, Elinor
Bastiani, Matteo
Dubois, Jessica
Baxter, Luke
Slater, Rebeccah
Jbabdi, Saad
Mars, Rogier B.
Sotiropoulos, Stamatios N.
author_sort Warrington, Shaun
collection PubMed
description Developmental and evolutionary effects on brain organization are complex, yet linked, as evidenced by the correspondence in cortical area expansion across these vastly different time scales. However, it is still not possible to study concurrently the ontogeny and phylogeny of cortical areal connections, which is arguably more relevant to brain function than allometric measurements. Here, we propose a novel framework that allows the integration of structural connectivity maps from humans (adults and neonates) and nonhuman primates (macaques) onto a common space. We use white matter bundles to anchor the common space and use the uniqueness of cortical connection patterns to these bundles to probe area specialization. This enabled us to quantitatively study divergences and similarities in connectivity over evolutionary and developmental scales, to reveal brain maturation trajectories, including the effect of premature birth, and to translate cortical atlases between diverse brains. Our findings open new avenues for an integrative approach to imaging neuroanatomy.
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spelling pubmed-95814842022-10-26 Concurrent mapping of brain ontogeny and phylogeny within a common space: Standardized tractography and applications Warrington, Shaun Thompson, Elinor Bastiani, Matteo Dubois, Jessica Baxter, Luke Slater, Rebeccah Jbabdi, Saad Mars, Rogier B. Sotiropoulos, Stamatios N. Sci Adv Neuroscience Developmental and evolutionary effects on brain organization are complex, yet linked, as evidenced by the correspondence in cortical area expansion across these vastly different time scales. However, it is still not possible to study concurrently the ontogeny and phylogeny of cortical areal connections, which is arguably more relevant to brain function than allometric measurements. Here, we propose a novel framework that allows the integration of structural connectivity maps from humans (adults and neonates) and nonhuman primates (macaques) onto a common space. We use white matter bundles to anchor the common space and use the uniqueness of cortical connection patterns to these bundles to probe area specialization. This enabled us to quantitatively study divergences and similarities in connectivity over evolutionary and developmental scales, to reveal brain maturation trajectories, including the effect of premature birth, and to translate cortical atlases between diverse brains. Our findings open new avenues for an integrative approach to imaging neuroanatomy. American Association for the Advancement of Science 2022-10-19 /pmc/articles/PMC9581484/ /pubmed/36260675 http://dx.doi.org/10.1126/sciadv.abq2022 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Neuroscience
Warrington, Shaun
Thompson, Elinor
Bastiani, Matteo
Dubois, Jessica
Baxter, Luke
Slater, Rebeccah
Jbabdi, Saad
Mars, Rogier B.
Sotiropoulos, Stamatios N.
Concurrent mapping of brain ontogeny and phylogeny within a common space: Standardized tractography and applications
title Concurrent mapping of brain ontogeny and phylogeny within a common space: Standardized tractography and applications
title_full Concurrent mapping of brain ontogeny and phylogeny within a common space: Standardized tractography and applications
title_fullStr Concurrent mapping of brain ontogeny and phylogeny within a common space: Standardized tractography and applications
title_full_unstemmed Concurrent mapping of brain ontogeny and phylogeny within a common space: Standardized tractography and applications
title_short Concurrent mapping of brain ontogeny and phylogeny within a common space: Standardized tractography and applications
title_sort concurrent mapping of brain ontogeny and phylogeny within a common space: standardized tractography and applications
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581484/
https://www.ncbi.nlm.nih.gov/pubmed/36260675
http://dx.doi.org/10.1126/sciadv.abq2022
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