BigBrain is a singular dataset that offers an ultra-high-resolution (20µm) volumetric reconstruction of a sliced and stained post-mortem human brain (Amunts et al. 2013). BigBrainWarp aims to enable integration of BigBrain with neuroimaging and other neurobiological modalities, helping a wide range of neuroscientists to utilise the cytoarchitectural information encoded in BigBrain for multi-scale neuroscientific discovery.

This repository includes:

• Preprocessed BigBrain features
• Simple scripts to transform between BigBrain and standard MRI spaces
• A selection of histology-derived feature maps already transformed to MRI space, and vice versa
• A series of tutorials that illustrate potential workflows for BigBrain-MRI integration

See the preprint (https://www.biorxiv.org/content/10.1101/2021.05.04.442563v1) or readthedocs (https://bigbrainwarp.readthedocs.io/) for all your BigBrainWarp needs

Core developers

• Casey Paquola, INM-1, Forschungszentrum Jülich & MICA Lab, Montreal Neurological Institute
• Boris Bernhardt, MICA Lab, Montreal Neurological Institute