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

Author:

Warrington Shaun1ORCID,Thompson Elinor12ORCID,Bastiani Matteo1ORCID,Dubois Jessica34ORCID,Baxter Luke56ORCID,Slater Rebeccah56ORCID,Jbabdi Saad6ORCID,Mars Rogier B.67ORCID,Sotiropoulos Stamatios N.168ORCID

Affiliation:

1. Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, UK.

2. Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.

3. Université Paris Cité, Inserm, NeuroDiderot Unit, Paris, France.

4. University Paris-Saclay, CEA, NeuroSpin, Gif-sur-Yvette, France.

5. Department of Paediatrics, University of Oxford, Oxford, UK.

6. Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.

7. Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, Netherlands.

8. National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Queens Medical Centre, Nottingham, UK.

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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