Is it possible to do the reverse engineering the process with Brainstorm

1

If I have the field distribution from the Optiwave software and the optical sensors and made to diagnose or record the brains activity and these optical sensors gives output in the form of the WGM (wishper Gallery Mode) an output that is optical intensities. These sensors detect the neural activity coressponding to the intensities. Can these intensities in the excel format be loaded in the brainstorm and then form these optical field intensities be reverse process to generate the EEG waveform or geting the 2D intensities head models.
image

optical sensor simulation
optical sensor simulation2260×1064 543 KB

optical sensor WGM in time frequency wavelength domain
optical sensor WGM in time frequency wavelength domain2260×1064 321 KB

Is it possible to load these data in brainstorm through Maltab and do analysis.
and finaly I want to apply the Deeplearning on these results and try to diagnose the various kind of the neurological dissorders.
for the formats output of the optivawe software go through the
link : optiwave.com/category/optifdtd-manuals/optifdtd-background-and-tutorials/7-post-simulation-data-analysis/
File Formats
If possible kindly guide me soon.

2

Loading your data into Brainstorm as signals (matrix [sensors x time]) is always possible, but may require that you write the files yourself in the correct format in the database (https://neuroimage.usc.edu/brainstorm/Tutorials/Epoching#On_the_hard_drive).

After that, I'm not sure what you would be able to do with the signals once in Brainstorm... I'm not familiar with the type of data you work with.
If this has something to do with fNIRS, try NIRSTORM: https://github.com/Nirstorm/nirstorm/wiki#tutorials