This is the official repository of the R/Python/bash scripts used to process the anatomical and high-resolution 7T layer fMRI data on action prediction, acquired at the Spinoza Center in Amstedam in 2018.
These analyses converged into the following manuscript published on Cortex: Predictive coding during action observation - a depth-resolved intersubject functional correlation study at 7T.
Each step of the process is stored within a folder that contains the script(s) to launch each preprocessing/analysis steps separately one from the other.
Each folder name is preceded by a number indicating which the order in which the scripts should be run.
The layerfMRI conda environment can be recreated locally with
conda env create -f layerfMRI_conda_env.yml
or updated with
conda env update --prefix ./env --file layerfMRI_conda_env.yml --prune
There are also personal folders where each of us can store notebook/scripts or whatever else should be shared.
This work was funded by the BIAL foundation grant 255/16 and the European Commission ERC grant VicariousBrain (ERC-StG 312511)