This Python package is a supplement to the the paper ``An antidote to the imager's fallacy, or how to identify brain areas that are in limbo''.

It includes the original code, and, importantly, also a collection of NiPype interfacs and workflows that should make it relatively easy to apply the methods of the paper to your own fMRI dataset.

To install this package, simply do

pip install in_limbo

or for the latest development version:

pip install git+git://github.com/Gilles86/in_limbo.git#egg=in_limbo

Notebooks redoing the simulations of the paper can be found here

• Single subject case
• Multiple subjects case

• How to do a level-1 analysis using the sandwich estimator
• How to do a level-2 analysis including an in limbo-anaysis and using the sandwich estimator
• How to do a simplified In Limbo analysis, without the need for using Sandwich estimators (FSL level 1 as input is enough)