mne-tools / mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
https://mne.tools
BSD 3-Clause "New" or "Revised" License
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import code for optical imaging data from BOXY, fNIRS and fast signal #7718

Closed kylemath closed 3 years ago

kylemath commented 4 years ago

Describe the problem

Want to create io functionality for BOXY files created for the Imagent and Imagent 2 from ISS, which collect both overall and modulated light levels, but also phase delay measures used to measure fast scattering changes in neural tissue.

Describe your solution

Working on a set of io functions similar to the NIRx.py options to load files in as Raw objects here: Loads digitization files, lists of channels used, data files, parses files and creates Raw object with dig and chan locs info, coregisters fiducials with common space, markers from marker channel, and data channel names based on location, data type, and wavelength:

WIP pull request: https://github.com/mne-tools/mne-python/pull/7717

Describe possible alternatives

Import preprocessed averaged files directly from https://code.google.com/archive/p/p-pod/, coregister with existing tools in that same repo (coreg), and load in talaraich locatoins directly

Additional context

Some important discussions to have regarding

(These are checkboxes in the pull request)

References: boxy optical imaging workflow: http://sites.psych.ualberta.ca/kylemathewson/optical-imaging/

rob-luke commented 4 years ago

I am going to comment directly on the pull request as the dot points above are the same as the checklist there. Let me know if its preferable for me to comment here instead.

larsoner commented 3 years ago

We have this from #7717, closing