Hi,
I’m new to fNIRS analysis and have been trying out MNE. Because I want to document my analysis steps carefully, I save first-level GLM results using the built-in method for this purpose, following the tutorial at [Save and load GLM results — MNE-NIRS 0.7.1 documentation](Save and load GLM results)
glm.save(fname, overwrite=True)
With this procedure, I’m noticing the glm.h5 files become quite large. For example, GLM results for a 40 minute recording with a 46 channel setup, where the BIDS-formatted fNIRS data is about 10MB, can exceed 1GB when saved to disk.
I understand that I can extract relevant features of the results and save to .csv, but is there any other trick to saving the GLM in .h5-format that reduces the file size?
MNE version: 1.9.0
MNE_NIRS version: 0.7.1
operating system: Windows 10
Best,
Gustaf Wadenholt