Description: BigBrainWarp: Toolbox for integration of BigBrain 3D histology with mutlimodal neuroimaging

This title appears in the Scientific Report : 2022

BigBrainWarp: Toolbox for integration of BigBrain 3D histology with mutlimodal neuroimaging

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 standa...

Personal Name(s):	Paquola, Casey (Corresponding author)
	Royer, Jessica / Lewis, Lindsay B / Lepage, Claude / Glatard, Tristan / Wagstyl, Konrad / DeKraker, Jordan / Toussaint, Paule-J / Valk, Sofie Louise / Collins, D Louis / Khan, Ali / Amunts, Katrin / Evans, Alan C / Dickscheid, Timo / Bernhardt, Boris
Contributing Institute:	Strukturelle und funktionelle Organisation des Gehirns; INM-1 Gehirn & Verhalten; INM-7
Imprint:	2021
Document Type:	Preprint
Research Program:	Multilevel Brain Organization and Variability
Link:	OpenAccess
	Publikationsportal JuSER

Please use the identifier: http://hdl.handle.net/2128/30631 in citations.

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.