A Preprocessing Pipeline Builder for Neuroimaging Data
We all know that preprocessing neuroimaging data is hard and tedious. We created Apéro to make this process easier and to promote reliable preprocessing pipelines that can help make research reproducible. This work builds on the preprocessing pipeline used in Amico et al., NeuroImage (2017).
If you are running matlab
from the command line, you can run your scripts
using a command similar to the one below.
matlab -nodisplay -nosplash -nodesktop -r "try, run('/path/to/scripts/myScript.m'); catch me, e = getReport(me); fprintf('%s\n', e); end; exit;" 2>&1 | tee /path/to/logs/apero-`date -u +"%Y-%m-%dT%H:%M:%SZ"`.log
If you use this software in your research, please cite the following:
Farah, J. C., Tolle, H. M., Stampacchia, S., Gillet, D., & Amico, E. (2024). Apéro: A Preprocessing Pipeline Builder for Neuroimaging Data. Zenodo. https://doi.org/10.5281/zenodo.13881486
@software{farah2024apero,
author = {Farah, Juan Carlos and
Tolle, Hanna M. and
Stampacchia, Sara and
Gillet, Denis and
Amico, Enrico},
title = {{Apéro: A Preprocessing Pipeline Builder for Neuroimaging Data}},
year = 2024,
publisher = {Zenodo},
doi = {10.5281/zenodo.13881486},
url = {https://doi.org/10.5281/zenodo.13881486}
}
🙏
Juan Carlos Farah 💻 ⚠️ 📖 🐛 🤔 👀 📓 🚧 🎨 |
Enrico Amico 💻 🤔 🧑🏫 👀 📓 |
hannatolle 💻 ⚠️ 📖 🐛 🤔 👀 📓 |
ss1913 📓 🤔 🐛 📣 |