diff --git a/mne/data/html_templates.py b/mne/data/html_templates.py index e1943fe0e0d..3f517167d22 100644 --- a/mne/data/html_templates.py +++ b/mne/data/html_templates.py @@ -33,7 +33,7 @@ Good channels {{n_mag}} magnetometer, {{n_grad}} gradiometer, - and {{n_eeg}} EEG channels + {{n_eeg}} EEG channels, and {{n_fnirs}} fNIRS channels. Bad channels diff --git a/mne/io/meas_info.py b/mne/io/meas_info.py index 4f49d675c60..493742a61e2 100644 --- a/mne/io/meas_info.py +++ b/mne/io/meas_info.py @@ -816,6 +816,7 @@ def _repr_html_(self, caption=None): n_eeg = len(pick_types(self, meg=False, eeg=True)) n_grad = len(pick_types(self, meg='grad')) n_mag = len(pick_types(self, meg='mag')) + n_fnirs = len(pick_types(self, meg=False, eeg=False, fnirs=True)) pick_eog = pick_types(self, meg=False, eog=True) if len(pick_eog) > 0: eog = ', '.join(np.array(self['ch_names'])[pick_eog]) @@ -832,7 +833,7 @@ def _repr_html_(self, caption=None): html += info_template.substitute( caption=caption, info=self, meas_date=meas_date, n_eeg=n_eeg, - n_grad=n_grad, n_mag=n_mag, eog=eog, ecg=ecg) + n_grad=n_grad, n_mag=n_mag, n_fnirs=n_fnirs, eog=eog, ecg=ecg) return html diff --git a/tutorials/preprocessing/70_fnirs_processing.py b/tutorials/preprocessing/70_fnirs_processing.py index 34734b18b9c..a965ff69c0f 100644 --- a/tutorials/preprocessing/70_fnirs_processing.py +++ b/tutorials/preprocessing/70_fnirs_processing.py @@ -6,7 +6,8 @@ This tutorial covers how to convert functional near-infrared spectroscopy (fNIRS) data from raw measurements to relative oxyhaemoglobin (HbO) and -deoxyhaemoglobin (HbR) concentration. +deoxyhaemoglobin (HbR) concentration, view the average waveform, and +topographic representation of the response. Here we will work with the :ref:`fNIRS motor data `. """