app-apply-baseline
This is an app that adds a selected montage to an (M/)EEG raw from the list provided in the MNE package.
- Input file is mne/raw
- Input value of montage is selected from the dropdown menu (enum choice), and the optional choice of renaming any channels in the montage to correspond to the list of channels in the data is provided as a string.
- The output file is mne/raw, as well.
Authors
Copyright (c) 2022 brainlife.io The University of Texas at Austin
Funding Acknowledgement
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 code and publications. Copy and past the following lines into your repository when using this code.
Citations
We ask that you the following articles when publishing papers that used data, code or other resources created by the brainlife.io community.
- 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
Running the App
On Brainlife.io
You can submit this App online at https://doi.org/10.25663/bl.app.444 via the "Execute" tab.
Running Locally (on your machine)
- git clone this repo.
- Inside the cloned directory, create
config.json
with something like the following content with paths to your input files.
{
"t1": "t1.nii.gz"
}
- Launch the App by executing
main
./main
Sample Datasets
If you don't have your own input file, you can download sample datasets from Brainlife.io, or you can use Brainlife CLI.
npm install -g brainlife
bl login
mkdir input
bl dataset download 5a0f0fad2c214c9ba8624376#5a050966eec2b300611abff2 && mv 5a0f0fad2c214c9ba8624376#5a050966eec2b300611abff2 .
Output
All output file (a resampled T1w NIFTI-1 file) will be generated inside the current working directory (pwd), inside a specifc directory called:
out_dir
Dependencies
This App requires MNE/Python to run.