Head Position
Detecting head movements can be done by attaching a small set of coils, called cHPI coils, to specific locations of the participant's head before MEG recording begins (usually three to five coils).
MEGIN Systems
This process relies on three key commands from the MNE library. The first, compute_chpi_amplitudes
, extracts the amplitude of waves generated by the cHPI coils at each sensor. Next, compute_chpi_locs
calculates the position of each coil during recording, using their initial positions obtained with a Digitizer before the session. Finally, compute_head_pos
integrates data from all coils to compute the head’s position over time. The resulting head position data is saved and used in the temporal Signal Space Separation (tSSS) stage to correct for head movements.
Parameters for this step can be adjusted in the pipeline_config.cfg
:
"head_position": {
"amplitudes": {
"t_step_min": 0.25,
"t_window": "auto",
"ext_order": 1,
"tmin": 0,
"tmax": null
},
"locs": {
"t_step_max": 1,
"too_close": "raise",
"adjust_dig": false
},
"head_pos": {
"dist_limit": 0.005,
"gof_limit": 0.98,
"adjust_dig": false
}
CTF Systems
The extract_chpi_locs_ctf
function is used to retrieve head position information from CTF data. In CTF systems, the x, y, and z coordinates (in meters) of each cHPI coil are stored as individual channels within the dataset.
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