Highspeed Masks

Overview

This repository contains binarized anatomical masks used in Wittkuhn & Schuck, 2020, Nature Communications.

Please see the paper and the project website at https://wittkuhn.mpib.berlin/highspeed/ for further details about the study. The meta-data of this dataset are available at https://github.com/lnnrtwttkhn/highspeed-masks and the data contents at https://gin.g-node.org/lnnrtwttkhn/highspeed-masks.

Dataset structure

Anatomical binarized masks are in masks/ with subdirectories for hippocampus masks (mask_hippocampus), medial-temporal lobe masks (mask_mtl) and visual and ventrotemporal cortex masks (mask_visual)
The masks/ directory also contains smoothed fMRI data in a smooth/ subdirectory
All inputs (i.e. building blocks from other sources) are located in fmriprep/ and /bids.
All custom code is located in code/.

Run code

Install required packages:

mkvirtualenv -p $(which python3) highspeed-masks
pip install -r requirements.txt

Contact

License

Please see the LICENSE file for details.