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The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging

Neuroimaging stands to benefit from emerging ultrahigh-resolution 3D histological atlases of the human brain; the first of which is ‘BigBrain’. Here, we review recent methodological advances for the integration of BigBrain with multi-modal neuroimaging and introduce a toolbox, ’BigBrainWarp’, that c...

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Autores principales: Paquola, Casey, Royer, Jessica, Lewis, Lindsay B, Lepage, Claude, Glatard, Tristan, Wagstyl, Konrad, DeKraker, Jordan, Toussaint, Paule-J, Valk, Sofie L, Collins, Louis, Khan, Ali R, Amunts, Katrin, Evans, Alan C, Dickscheid, Timo, Bernhardt, Boris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445620/
https://www.ncbi.nlm.nih.gov/pubmed/34431476
http://dx.doi.org/10.7554/eLife.70119
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author Paquola, Casey
Royer, Jessica
Lewis, Lindsay B
Lepage, Claude
Glatard, Tristan
Wagstyl, Konrad
DeKraker, Jordan
Toussaint, Paule-J
Valk, Sofie L
Collins, Louis
Khan, Ali R
Amunts, Katrin
Evans, Alan C
Dickscheid, Timo
Bernhardt, Boris
author_facet Paquola, Casey
Royer, Jessica
Lewis, Lindsay B
Lepage, Claude
Glatard, Tristan
Wagstyl, Konrad
DeKraker, Jordan
Toussaint, Paule-J
Valk, Sofie L
Collins, Louis
Khan, Ali R
Amunts, Katrin
Evans, Alan C
Dickscheid, Timo
Bernhardt, Boris
author_sort Paquola, Casey
collection PubMed
description Neuroimaging stands to benefit from emerging ultrahigh-resolution 3D histological atlases of the human brain; the first of which is ‘BigBrain’. Here, we review recent methodological advances for the integration of BigBrain with multi-modal neuroimaging and introduce a toolbox, ’BigBrainWarp’, that combines these developments. The aim of BigBrainWarp is to simplify workflows and support the adoption of best practices. This is accomplished with a simple wrapper function that allows users to easily map data between BigBrain and standard MRI spaces. The function automatically pulls specialised transformation procedures, based on ongoing research from a wide collaborative network of researchers. Additionally, the toolbox improves accessibility of histological information through dissemination of ready-to-use cytoarchitectural features. Finally, we demonstrate the utility of BigBrainWarp with three tutorials and discuss the potential of the toolbox to support multi-scale investigations of brain organisation.
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spelling pubmed-84456202021-09-17 The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging Paquola, Casey Royer, Jessica Lewis, Lindsay B Lepage, Claude Glatard, Tristan Wagstyl, Konrad DeKraker, Jordan Toussaint, Paule-J Valk, Sofie L Collins, Louis Khan, Ali R Amunts, Katrin Evans, Alan C Dickscheid, Timo Bernhardt, Boris eLife Neuroscience Neuroimaging stands to benefit from emerging ultrahigh-resolution 3D histological atlases of the human brain; the first of which is ‘BigBrain’. Here, we review recent methodological advances for the integration of BigBrain with multi-modal neuroimaging and introduce a toolbox, ’BigBrainWarp’, that combines these developments. The aim of BigBrainWarp is to simplify workflows and support the adoption of best practices. This is accomplished with a simple wrapper function that allows users to easily map data between BigBrain and standard MRI spaces. The function automatically pulls specialised transformation procedures, based on ongoing research from a wide collaborative network of researchers. Additionally, the toolbox improves accessibility of histological information through dissemination of ready-to-use cytoarchitectural features. Finally, we demonstrate the utility of BigBrainWarp with three tutorials and discuss the potential of the toolbox to support multi-scale investigations of brain organisation. eLife Sciences Publications, Ltd 2021-08-25 /pmc/articles/PMC8445620/ /pubmed/34431476 http://dx.doi.org/10.7554/eLife.70119 Text en © 2021, Paquola et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Paquola, Casey
Royer, Jessica
Lewis, Lindsay B
Lepage, Claude
Glatard, Tristan
Wagstyl, Konrad
DeKraker, Jordan
Toussaint, Paule-J
Valk, Sofie L
Collins, Louis
Khan, Ali R
Amunts, Katrin
Evans, Alan C
Dickscheid, Timo
Bernhardt, Boris
The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging
title The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging
title_full The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging
title_fullStr The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging
title_full_unstemmed The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging
title_short The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging
title_sort bigbrainwarp toolbox for integration of bigbrain 3d histology with multimodal neuroimaging
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445620/
https://www.ncbi.nlm.nih.gov/pubmed/34431476
http://dx.doi.org/10.7554/eLife.70119
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