Brainlife App to create epochs based on the events recorded in the Raw object’s STIM channels or event.tsv using MNE-Python Epoch method mne.Epochs function

1. Input file is:

   • meg/fif meg data file
   • event.tsv (optional)
   • tmin and tmax (Start and end time of the epochs in seconds, relative to the time-locked event)

2. Ouput files are:

   • epochs/fif
   • HTML report

• [Saeed Zahran] ([email protected])

• [Saeed Zahran] ([email protected])
• [Maximilien Chaumon] ([email protected])

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.

1. 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
2. Taulu S. and Kajola M. Presentation of electromagnetic multichannel data: The signal space separation method. Journal of Applied Physics, 97 (2005). https://doi.org/10.1063/1.1935742
3. Taulu S. and Simola J. Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements. Physics in Medicine and Biology, 51 (2006). https://doi.org/10.1088/0031-9155/51/7/008