Whole brain comparative anatomy using connectivity blueprints

Comparing the brains of related species faces the challenges of establishing homologies whilst accommodating evolutionary specializations. Here we propose a general framework for understanding similarities and differences between the brains of primates. The approach uses white matter blueprints of t...

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Main Authors: Mars, Rogier B., Sotiropoulos, Stamatios N., Passingham, Richard E., Sallet, Jerome, Verhagen, Lennart, Khrapitchev, Alexandre A., Sibson, Nicola, Jbabdi, Saad
Format: Article
Published: eLife Sciences Publications 2018
Online Access:https://eprints.nottingham.ac.uk/51616/
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author Mars, Rogier B.
Sotiropoulos, Stamatios N.
Passingham, Richard E.
Sallet, Jerome
Verhagen, Lennart
Khrapitchev, Alexandre A.
Sibson, Nicola
Jbabdi, Saad
author_facet Mars, Rogier B.
Sotiropoulos, Stamatios N.
Passingham, Richard E.
Sallet, Jerome
Verhagen, Lennart
Khrapitchev, Alexandre A.
Sibson, Nicola
Jbabdi, Saad
author_sort Mars, Rogier B.
building Nottingham Research Data Repository
collection Online Access
description Comparing the brains of related species faces the challenges of establishing homologies whilst accommodating evolutionary specializations. Here we propose a general framework for understanding similarities and differences between the brains of primates. The approach uses white matter blueprints of the whole cortex based on a set of white matter tracts that can be anatomically matched across species. The blueprints provide a common reference space that allows us to navigate between brains of different species, identify homologous cortical areas, or to transform whole cortical maps from one species to the other. Specializations are cast within this framework as deviations between the species’ blueprints. We illustrate how this approach can be used to compare human and macaque brains.
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spelling nottingham-516162020-05-04T19:36:13Z https://eprints.nottingham.ac.uk/51616/ Whole brain comparative anatomy using connectivity blueprints Mars, Rogier B. Sotiropoulos, Stamatios N. Passingham, Richard E. Sallet, Jerome Verhagen, Lennart Khrapitchev, Alexandre A. Sibson, Nicola Jbabdi, Saad Comparing the brains of related species faces the challenges of establishing homologies whilst accommodating evolutionary specializations. Here we propose a general framework for understanding similarities and differences between the brains of primates. The approach uses white matter blueprints of the whole cortex based on a set of white matter tracts that can be anatomically matched across species. The blueprints provide a common reference space that allows us to navigate between brains of different species, identify homologous cortical areas, or to transform whole cortical maps from one species to the other. Specializations are cast within this framework as deviations between the species’ blueprints. We illustrate how this approach can be used to compare human and macaque brains. eLife Sciences Publications 2018-05-11 Article PeerReviewed Mars, Rogier B., Sotiropoulos, Stamatios N., Passingham, Richard E., Sallet, Jerome, Verhagen, Lennart, Khrapitchev, Alexandre A., Sibson, Nicola and Jbabdi, Saad (2018) Whole brain comparative anatomy using connectivity blueprints. eLife, 7 . e35237/1-e35237/15. ISSN 2050-084X https://elifesciences.org/articles/35237 doi:10.7554/eLife.35237 doi:10.7554/eLife.35237
spellingShingle Mars, Rogier B.
Sotiropoulos, Stamatios N.
Passingham, Richard E.
Sallet, Jerome
Verhagen, Lennart
Khrapitchev, Alexandre A.
Sibson, Nicola
Jbabdi, Saad
Whole brain comparative anatomy using connectivity blueprints
title Whole brain comparative anatomy using connectivity blueprints
title_full Whole brain comparative anatomy using connectivity blueprints
title_fullStr Whole brain comparative anatomy using connectivity blueprints
title_full_unstemmed Whole brain comparative anatomy using connectivity blueprints
title_short Whole brain comparative anatomy using connectivity blueprints
title_sort whole brain comparative anatomy using connectivity blueprints
url https://eprints.nottingham.ac.uk/51616/
https://eprints.nottingham.ac.uk/51616/
https://eprints.nottingham.ac.uk/51616/