Warrington, Shaun;
Thompson, Elinor;
Bastiani, Matteo;
Dubois, Jessica;
Baxter, Luke;
Slater, Rebeccah;
Jbabdi, Saad;
... Sotiropoulos, Stamatios N; + view all
(2022)
Concurrent mapping of brain ontogeny and phylogeny within a common space: Standardized tractography and applications.
Science Advances
, 8
(42)
, Article eabq2022. 10.1126/sciadv.abq2022.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | Concurrent mapping of brain ontogeny and phylogeny within a common space: Standardized tractography and applications |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1126/sciadv.abq2022 |
| Publisher version: | https://doi.org/10.1126/sciadv.abq2022 |
| Language: | English |
| Additional information: | 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). 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. |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10158415 |
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