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

Paquola, C., Royer, J., Lewis, L. B., Lepage, C., Glatard, T., Wagstyl, K., et al. (2021). The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging. eLife, 10: e70119. doi:10.7554/eLife.70119.

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 Creators:
Paquola, Casey1, 2, Author
Royer, Jessica1, Author
Lewis, Lindsay B.1, Author
Lepage, Claude1, Author
Glatard, Tristan3, Author
Wagstyl, Konrad4, Author
DeKraker, Jordan1, 5, Author
Toussaint, Paule-J.1, Author
Valk, Sofie L.2, 6, Author              
Collins, Louis1, Author
Khan, Ali R.7, Author
Amunts, Katrin2, Author
Evans, Alan C.1, Author
Dickscheid, Timo2, Author
Bernhardt, Boris1, Author
Affiliations:
1McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, QC, Canada, ou_persistent22              
2Institute of Neuroscience and Medicine, Research Center Jülich, Germany, ou_persistent22              
3Department of Computer Science and Software Engineering, Concordia University, Montréal, QC, Canada, ou_persistent22              
4Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, United Kingdom, ou_persistent22              
5Brain and Mind Institute, University of Western Ontario, London, ON, Canada, ou_persistent22              
6Otto Hahn Group Cognitive Neurogenetics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3222264              
7Department of Medical Biophysics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada, ou_persistent22              

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Free keywords: Anatomy; Histology; Human; Multi-modal; Neuroimaging; Neuroscience
 Abstract: 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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Language(s): eng - English
 Dates: 2021-05-062021-08-232021-08-25
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.7554/eLife.70119
PMID: 34431476
PMC: PMC8445620
 Degree: -

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Project name : -
Grant ID : NSERC Discovery-1304413
Funding program : -
Funding organization : National Science and Engineering Research Council of Canada
Project name : -
Grant ID : CIHR FDN-154298, PRJ-174995
Funding program : -
Funding organization : Canadian Institutes of Health Research
Project name : -
Grant ID : NI17-039
Funding program : -
Funding organization : SickKids Foundation
Project name : -
Grant ID : 366062
Funding program : CIHR Project Grant
Funding organization : -
Project name : -
Grant ID : 6639
Funding program : NSERC Discovery Grant
Funding organization : -

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Title: eLife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 10 Sequence Number: e70119 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X