Home > Publications database > The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging > print

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100 1 _ |a Paquola, Casey
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245 _ _ |a The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging
260 _ _ |a Cambridge
|c 2021
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520 _ _ |a 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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700 1 _ |a Lewis, Lindsay B
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700 1 _ |a Glatard, Tristan
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700 1 _ |a Wagstyl, Konrad
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700 1 _ |a DeKraker, Jordan
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700 1 _ |a Toussaint, Paule-J
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700 1 _ |a Valk, Sofie L
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700 1 _ |a Khan, Ali R
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700 1 _ |a Amunts, Katrin
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700 1 _ |a Evans, Alan C
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700 1 _ |a Dickscheid, Timo
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700 1 _ |a Bernhardt, Boris
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773 _ _ |a 10.7554/eLife.70119
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856 4 _ |u https://juser.fz-juelich.de/record/897099/files/eLife_invoice_P007308.pdf
856 4 _ |u https://juser.fz-juelich.de/record/897099/files/Paquola_etal_elife_2021.pdf
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