1 Neurology and Neurosurgery, McGill University, Montréal, Canada.
2 Neurology and Neurosurgery, McGill University, Montreal, Canada.
3 Concordia University, Montreal, Canada.
4 Wellcome Centre for Human Neuroimaging, UCL, London, United Kingdom.
5 Brain and Mind Institute, University of Western Ontario, London, Canada.
6 Cognitive Neurogenetics, Max Planck Institute Leipzig, Leipzig, Germany.
7 McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal Neurological Institute and Hospital, Montreal, Canada.
8 Heinrich Heine University, Düsseldorf, Germany.
9 Forschungszentrum Jülich, Jülich, Germany.

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.