This Brainlife.io app reads the .info attribute of each condition in an MNE Evoked list and writes it to a text file for easy viewing. It also surfaces that same text in product.json for inspection in the Brainlife.io interface.
The app generates:
- A text dump of each evoked condition's
.infoattribute - A
product.jsonmessage containing the same info dump
epo(neuro/meeg/mne/evoked): MNE evoked data whose.infoattribute is read, one entry per condition (required)
out_dir/info.txt(neuro/meg/fif-override, taginfo): text dump of the evoked data's.infoattributesproduct.json: message containing the same info dump, for display in the Brainlife.io interface
This app reads no configuration parameters beyond its input file (see Inputs above).
- Select your MEG/EEG evoked dataset as the
epoinput. - Submit the process.
- Inspect
info.txtand theproduct.jsonsummary in the process viewer.
# Edit config.json to point "epo" at real data, then:
python main.py- Kamilya Salibayeva (ksalibay@iu.edu)
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.