Apéro

A Preprocessing Pipeline Builder for Neuroimaging Data

Motivation

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).

Command Line

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

Citing

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}
}

🙏

Contributors

Juan Carlos Farah 💻 ⚠️ 📖 🐛 🤔 👀 📓 🚧 🎨

Enrico Amico 💻 🤔 🧑‍🏫 👀 📓

hannatolle 💻 ⚠️ 📖 🐛 🤔 👀 📓

ss1913 📓 🤔 🐛 📣