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<p>Dear MNE users,</p>
<p>I have a problem, that I would like to briefly state in three
parts:</p>
<p><b><br>
</b></p>
<p><b>Situation:</b><br>
</p>
<p>- I am currently working on EEG data (64 channels, 500Hz sampling
frequency).</p>
<p>- I want to clean the data for blink and horizontal eye movement
artifacts.<br>
</p>
<p>- For this purpose, I would like to use ICA first for a single
subject, to identify "templates", and then apply these templates
to all subjects using the "corrmap" approach.</p>
<p><br>
</p>
<p><b>Problem:</b><br>
</p>
<p>The conflict I encounter is when it comes to preprocessing my
data:</p>
<p>- For ICA, a high-pass filter of 1Hz is recommended (<a
moz-do-not-send="true"
href="https://martinos.org/mne/stable/generated/mne.preprocessing.ICA.html">see
here</a>)<br>
</p>
<p>- For EEG data in general, high-pass filters with a cutoff >
0.1Hz have been shown to be problematic (<a moz-do-not-send="true"
href="https://martinos.org/mne/dev/auto_tutorials/plot_background_filtering.html#tut-filtering-hp-problems">see
here</a>)</p>
<p><br>
</p>
<p><b>Question:</b><br>
</p>
<p>Let's assume the following:<br>
</p>
<p>- Given my raw data, I create two pre-processed versions: One
version high-pass (hp) filtered at 1Hz and the other version hp
filtered at 0.1Hz</p>
<p>- I calculate the ICA on the 1Hz hp data to obtain mixing and
unmixing matrices.</p>
<p>- <i>What are the caveats to be considered when I then apply the
mixing and unmixing matrices obtained from the 1Hz hp data to
the 0.1Hz hp data? </i><br>
</p>
<p><br>
</p>
<p>Help, and especially pointers to literature or examples are
appreciated.</p>
<p>I am also open to alternative approaches to addressing my
situation.<br>
</p>
<p><br>
</p>
<p>Best regards,<br>
<br>
Stefan<br>
</p>
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