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: Casey Paquola, Jessica Royer, Lindsay B Lewis, Claude Lepage, Tristan Glatard, Konrad Wagstyl, Jordan DeKraker, Paule-J Toussaint, Sofie L Valk, Louis Collins, Ali R Khan, Katrin Amunts, Alan C Evans, Timo Dickscheid, Boris Bernhardt
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Publicado: eLife Sciences Publications Ltd 2021
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Acceso en línea:https://doaj.org/article/bc2bc788cd5d47e6ab1d41a2e97628b1
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spelling oai:doaj.org-article:bc2bc788cd5d47e6ab1d41a2e97628b12021-11-30T11:42:56ZThe BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging10.7554/eLife.701192050-084Xe70119https://doaj.org/article/bc2bc788cd5d47e6ab1d41a2e97628b12021-08-01T00:00:00Zhttps://elifesciences.org/articles/70119https://doaj.org/toc/2050-084XNeuroimaging 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.Casey PaquolaJessica RoyerLindsay B LewisClaude LepageTristan GlatardKonrad WagstylJordan DeKrakerPaule-J ToussaintSofie L ValkLouis CollinsAli R KhanKatrin AmuntsAlan C EvansTimo DickscheidBoris BernhardteLife Sciences Publications Ltdarticleneuroimaginghistologymulti-modalanatomyMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021)
institution DOAJ
collection DOAJ
language EN
topic neuroimaging
histology
multi-modal
anatomy
Medicine
R
Science
Q
Biology (General)
QH301-705.5
spellingShingle neuroimaging
histology
multi-modal
anatomy
Medicine
R
Science
Q
Biology (General)
QH301-705.5
Casey Paquola
Jessica Royer
Lindsay B Lewis
Claude Lepage
Tristan Glatard
Konrad Wagstyl
Jordan DeKraker
Paule-J Toussaint
Sofie L Valk
Louis Collins
Ali R Khan
Katrin Amunts
Alan C Evans
Timo Dickscheid
Boris Bernhardt
The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging
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.
format article
author Casey Paquola
Jessica Royer
Lindsay B Lewis
Claude Lepage
Tristan Glatard
Konrad Wagstyl
Jordan DeKraker
Paule-J Toussaint
Sofie L Valk
Louis Collins
Ali R Khan
Katrin Amunts
Alan C Evans
Timo Dickscheid
Boris Bernhardt
author_facet Casey Paquola
Jessica Royer
Lindsay B Lewis
Claude Lepage
Tristan Glatard
Konrad Wagstyl
Jordan DeKraker
Paule-J Toussaint
Sofie L Valk
Louis Collins
Ali R Khan
Katrin Amunts
Alan C Evans
Timo Dickscheid
Boris Bernhardt
author_sort Casey Paquola
title 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_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_sort bigbrainwarp toolbox for integration of bigbrain 3d histology with multimodal neuroimaging
publisher eLife Sciences Publications Ltd
publishDate 2021
url https://doaj.org/article/bc2bc788cd5d47e6ab1d41a2e97628b1
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