caseypaquola/bigbrainwarp repository overview

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 readthedocs (https://bigbrainwarp.readthedocs.io/⁠) and the scientific article (https://elifesciences.org/articles/70119⁠) for all your BigBrainWarp needs

⁠Core developers

• Casey Paquola, Multiscale Neuroanatomy, INM-1, Forschungszentrum Jülich
• Boris Bernhardt, MICA Lab, Montreal Neurological Institute, McGill University