Create MNE transformation matrix from NIMH MEG datasets
pip install git+https://github.com/nih-megcore/nih_to_mne
usage: calc_mnetrans.py [-h] [-subjects_dir SUBJECTS_DIR] [-anat_json ANAT_JSON] [-tagfile TAGFILE]
[-elec_txt ELEC_TXT] -subject SUBJECT [-afni_mri AFNI_MRI]
[-trans_output TRANS_OUTPUT] -dsname DSNAME [-view_coreg]
optional arguments:
-h, --help show this help message and exit
-subjects_dir SUBJECTS_DIR
Set SUBJECTS_DIR different from the environment variable. If not set this
defaults to os.environ['SUBJECTS_DIR]
-anat_json ANAT_JSON Full path to the BIDS anatomy json file with the NAS,RPA,LPA locations
-tagfile TAGFILE Tagfile generated by bstags.py
-elec_txt ELEC_TXT Electrode text file exported from brainsight
-subject SUBJECT The freesurfer subject id. This folder is expected to be in the freesurfer
SUBJECTS_DIR
-afni_mri AFNI_MRI Provide a BRIK or HEAD file as input. Data must have the tags assigned to
the header.
-trans_output TRANS_OUTPUT
The output path for the mne trans.fif file
-dsname DSNAME CTF dataset to create the transform
-view_coreg Display the coregistration of MEG and head surface
usage: bstags.py file.txt
Where file.txt is the saved electrode location output from Brainsight.