Updated docs.

Author: cgohil8

doc/documentation.rst

@@ -57,8 +57,7 @@ The following tutorials illustrate basic usage and analysis that can be done wit
 **M/EEG processing tutorials**:
 
 - :doc:`tutorials_build/0-1_meg_preprocessing`.
-
-Also see `Canonical-HMM-Networks <https://github.com/OHBA-analysis/Canonical-HMM-Networks>`_ for start-to-end tutorials with Elekta, CTF, OPM and EEG data.
+- See `Canonical-HMM-Networks <https://github.com/OHBA-analysis/Canonical-HMM-Networks>`_ for start-to-end tutorials with Elekta, CTF, OPM and EEG data.
 
 **Data tutorials**:
 

doc/tutorials/0-1_meg_preprocessing.py

@@ -449,7 +449,7 @@
 # Notes on CTF and OPM data
 # *************************
 #
-# This tutorial uses Elekta MEG data. If you are working with different MEG systems:
+# This tutorial uses Elekta MEG data. If you are working with different MEG systems (or EEG) see `Canonical-HMM-Networks <https://github.com/OHBA-analysis/Canonical-HMM-Networks>`_. Note:
 #
 # - **CTF:** Use ``mne.io.read_raw_ctf()`` to load data. Set ``chantypes=["mag"]`` and adjust ``rank`` (CTF data is not MaxFiltered, so the rank is typically higher). Fiducials/headshape points may need to be extracted from a ``.pos`` file rather than the data file — pass ``pos_file`` to ``OSLFilenames``.
 # - **OPM:** Loading depends on the OPM system. Adjust ``chantypes`` and ``rank`` accordingly.