NiSpace

NiSpace is a Python toolbox to compare spatial patterns between brain maps. The resulting statistics reflect the degree to which the two or more maps share a spatial pattern – we call this "colocalization". With these measures, MRI-based activation or brain structure can be compared to, for example, nuclear imaging derived estimates of various neurotransmission systems, thus allowing investigation of underlying neurobiological processes.

The NiSpace toolbox aims to provide the most comprehensive, yet easy-to-use and flexible framework for colocalization estimation, significance testing, and visualization to date, combining features of several state-of-the-art tools and ideas from up-to-date research in the field. Going beyond standardized nuclear imaging data, NiSpace also provides direct integration of multiple gene expression and meta-analytic functional imaging datasets with statistical techniques tailored to each individual modality.

Find out more about NiSpace in its documentation or on GitHub.