Journal Article

FZJ-2021-03598

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging

Paquola, C. (Corresponding author)FZJ* ; Royer, J. ; Lewis, L. B. ; Lepage, C. ; Glatard, T. ; Wagstyl, K. ; DeKraker, J. ; Toussaint, P.-J. ; Valk, S. L.FZJ* ; Collins, L. ; Khan, A. R. ; Amunts, K.FZJ* ; Evans, A. C. ; Dickscheid, T.FZJ* ; Bernhardt, B.

2021
eLife Sciences Publications Cambridge

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Please use a persistent id in citations: http://hdl.handle.net/2128/28696  doi:10.7554/eLife.70119

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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Contributing Institute(s):

1. Strukturelle und funktionelle Organisation des Gehirns (INM-1)

Research Program(s):

1. 5254 - Neuroscientific Data Analytics and AI (POF4-525) (POF4-525)
2. HIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015) (InterLabs-0015)

Appears in the scientific report 2021

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