%0 Journal Article
%A Paquola, Casey
%A Royer, Jessica
%A Lewis, Lindsay B
%A Lepage, Claude
%A Glatard, Tristan
%A Wagstyl, Konrad
%A DeKraker, Jordan
%A Toussaint, Paule-J
%A Valk, Sofie L
%A Collins, Louis
%A Khan, Ali R
%A Amunts, Katrin
%A Evans, Alan C
%A Dickscheid, Timo
%A Bernhardt, Boris
%T The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging
%J eLife
%V 10
%@ 2050-084X
%C Cambridge
%I eLife Sciences Publications
%M FZJ-2021-03598
%P e70119
%D 2021
%X 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.
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:34431476
%U <Go to ISI:>//WOS:000697792200001
%R 10.7554/eLife.70119
%U https://juser.fz-juelich.de/record/897099