TY  - EJOUR
AU  - Paquola, Casey
AU  - Royer, Jessica
AU  - Lewis, Lindsay B
AU  - Lepage, Claude
AU  - Glatard, Tristan
AU  - Wagstyl, Konrad
AU  - DeKraker, Jordan
AU  - Toussaint, Paule-J
AU  - Valk, Sofie Louise
AU  - Collins, D Louis
AU  - Khan, Ali
AU  - Amunts, Katrin
AU  - Evans, Alan C
AU  - Dickscheid, Timo
AU  - Bernhardt, Boris
TI  - BigBrainWarp: Toolbox for integration of BigBrain 3D histology with mutlimodal neuroimaging
M1  - FZJ-2022-00999
PY  - 2021
AB  - Neuroimaging stands to benefit from emerging ultrahigh-resolution histological atlases of the human brain; the first of which is "BigBrain". Ongoing research aims to characterise regional differentiation of cytoarchitecture with BigBrain and to optimise registration of BigBrain with standard neuroimaging templates. Together, this work paves the way for multi-scale investigations of brain organisation. However, working with BigBrain can present new challenges for neuroimagers, including dealing with cellular resolution neuroanatomy and complex transformation procedures. To simplify workflows and support adoption of best practices, we developed BigBrainWarp, a toolbox for integration of BigBrain with multimodal neuroimaging. The primary BigBrainWarp function wraps multiple state-of-the-art deformation matrices into one line of code, allowing users to easily map data between BigBrain and standard MRI spaces. Additionally, the toolbox contains ready-to-use cytoarchitectural features to improve accessibility of histological information. The present article discusses recent contributions to BigBrain-MRI integration and demonstrates the utility of BigBrainWarp for further investigations.
LB  - PUB:(DE-HGF)25
UR  - https://juser.fz-juelich.de/record/905776
ER  -