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Apply ICA

Abcdspec-compliant Run on Brainlife.io

Brainlife App to apply ICA using ica.apply.

app-apply-ICA documentation

  1. Input file is:
    • meg/fif meg data file
    • ica/fif ica object file
  2. Ouput files are:
    • meg/fif cleaned meg data file

Authors

Citations

We kindly ask that you cite the following articles when publishing papers and code using this code.

- brainlife.io Publishing and Apps:

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

- MNE-Python package:

Gramfort A, Luessi M, Larson E, Engemann DA, Strohmeier D, Brodbeck C, Goj R, Jas M, Brooks T, Parkkonen L, and Hämäläinen MS. MEG and EEG data analysis with MNE-Python. Frontiers in Neuroscience, 7(267):1–13, 2013. https://doi.org/10.3389/fnins.2013.00267

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 publications and code reusing this code.

NSF-BCS-1734853 NSF-BCS-1636893 NSF-ACI-1916518 NSF-IIS-1912270 NIH-NIBIB-R01EB030896

MIT Copyright (c) 2021 brainlife.io The University of Texas at Austin and Indiana University

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