This Brainlife.io app reads the .info attribute of an MNE Epochs object (loaded with mne.read_epochs) and writes it to a text file for easy viewing, surfacing the same summary in product.json for quick inspection without downloading the file.
The app generates:
- A text dump of the epoched data's
.infoattribute - A
product.jsonmessage containing the same info summary
epo(neuro/meeg/mne/epochs): epoched MEG/EEG data whose.infoattribute is read (required)
out_dir/info.txt(neuro/meg/fif-override, taginfo): text dump of the epochs'.infoattributeproduct.json: message containing the same info summary, displayed in the Brainlife.io process view
This app reads no configuration parameters beyond its input file (see Inputs above).
- Select your epoched MEG/EEG dataset as the
epoinput. - Submit the process.
- Inspect
info.txtand theproduct.jsonsummary in the process viewer.
# Edit config.json to point "epo" at real epoched data, then:
python main.py- Kamilya Salibayeva (https://github.com/KSalibay)
We kindly ask that you cite the following articles when publishing papers and code using this app:
- Hayashi, S., Caron, B.A., Heinsfeld, A.S. et al. brainlife.io: a decentralized and open-source cloud platform to support neuroscience research. Nat Methods 21, 809–813 (2024). https://doi.org/10.1038/s41592-024-02237-2
- Gramfort, A. et al. MEG and EEG data analysis with MNE-Python. Front. Neurosci. 7, 267 (2013). https://doi.org/10.3389/fnins.2013.00267
- Avesani, P., McPherson, B., Hayashi, S. et al. The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services. Sci Data 6, 69 (2019). https://doi.org/10.1038/s41597-019-0073-y
brainlife.io is publicly funded and for the sustainability of the project it is helpful to acknowledge the use of the platform. We kindly ask that you acknowledge the funding below in your publications and code reusing this code.
Copyright (c) 2026 MEEG Brainlife team. Licensed under AGPL-3.0, see license.txt.