mne.preprocessing.nirs.scalp_coupling_index#

mne.preprocessing.nirs.scalp_coupling_index(raw, l_freq=0.7, h_freq=1.5, l_trans_bandwidth=0.3, h_trans_bandwidth=0.3, verbose=False)[source]#

Calculate scalp coupling index.

This function calculates the scalp coupling index [1]. This is a measure of the quality of the connection between the optode and the scalp.

Parameters:

rawinstance of Raw

The raw data.

l_freqfloat | None

For FIR filters, the lower pass-band edge; for IIR filters, the lower cutoff frequency. If None the data are only low-passed.

h_freqfloat | None

For FIR filters, the upper pass-band edge; for IIR filters, the upper cutoff frequency. If None the data are only high-passed.

l_trans_bandwidthfloat | str

Width of the transition band at the low cut-off frequency in Hz (high pass or cutoff 1 in bandpass). Can be “auto” (default) to use a multiple of l_freq:

min(max(l_freq * 0.25, 2), l_freq)

Only used for method='fir'.

h_trans_bandwidthfloat | str

Width of the transition band at the high cut-off frequency in Hz (low pass or cutoff 2 in bandpass). Can be “auto” (default in 0.14) to use a multiple of h_freq:

min(max(h_freq * 0.25, 2.), info['sfreq'] / 2. - h_freq)

Only used for method='fir'.

verbosebool | str | int | None

Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

Returns:

sciarray of float

Array containing scalp coupling index for each channel.

References

Examples using mne.preprocessing.nirs.scalp_coupling_index#

Preprocessing functional near-infrared spectroscopy (fNIRS) data

Preprocessing functional near-infrared spectroscopy (fNIRS) data