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Dear Mengyan Zhu, <br>
<br>
Selection of spectral filtering (both, selection of high-pass and
low-pass cutoff as well as causal/non-causal ) is when analyzing
EEG, is often overlooked. It depends on what aspect of ERP you may
want to analyze (eg., timing of peaks, amplitudes of peaks, onset of
an ERP or discriminant single-trial analysis). <br>
<br>
Please refer to recent detailed debate on the topic in the following
references: <br>
<br>
[1] A Widmann and E Schrger. Filter effects and filter artifacts in
the analysis of electrophysiological data. Front Psychol, 3:233,
2012.<br>
[2] G. A. Rousselet. Does filtering preclude us from studying ERP
time-courses? Front Psychol, 3:131,<br>
2012.<br>
[3] D.J. Acunzo, G. Mackenzie, and M. C. W. van Rossum. Systematic
biases in early ERP and ERN components as a result of high-pass
filtering. J Neurosci Methods, 209(1):212-218, Jul 2012.<br>
[4] R. Vanrullen. Four common conceptual fallacies in mapping the
time course of recognition. Front Psychol, 2:365, 2011.<br>
56<br>
[5] G. Garipelli, R. Chavarriaga, J. del R Millan, Single trial
recognition of anticipatory slow cortical potentials: The role of
spatio-spectral filtering, International IEEE/EMBS Conference on
Neural Engineering 06/2011; <br>
<br>
Wish you the best, <br>
Gangadhar Garipelli<br>
<br>
<br>
<div class="moz-cite-prefix">On 11/18/12 9:41 AM, 诸梦妍 wrote:<br>
</div>
<blockquote
cite="mid:CADt15Uscky6Cn7q46eduJTKZkDhidOU23C_38sN5f6CKwqOaeg@mail.gmail.com"
type="cite">
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Dear eeglablist,
<div><br>
</div>
<div>I would like to know whether there are any limitation or
rules in filtering EEG data, or if there are someone who could
recommend some papers about how high-pass filter change the
data. </div>
<div><br>
</div>
<div>I have read some basic principles about how filter works, but
still don't know how to choose a proper High-pass parameter to
remove artifacts without distorting the data. I knew some
researchers use 0.01Hz, some would recommend 0.1, 0.5 or 1Hz
and some recommend not using High-pass filter at all. </div>
<div><br>
</div>
<div>The thing is, I found some participants' EEG waves in my
experiments had large amount of slow drift, which could be
removed by a 0.3Hz filter. However, I don't know whether that
would distort the data greatly. What I want to observe are P300,
N400 and P600 components as well as some sustained late
negativity in ERP and also 3-70Hz in Time-Frequency domain. </div>
<div><br>
</div>
<div><span
style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:14px;background-color:rgb(255,255,255)">Thanks
for any information you may supply me with.</span></div>
<div><span
style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:14px;background-color:rgb(255,255,255)"><br>
</span></div>
<div><span
style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:14px;background-color:rgb(255,255,255)">Zhu
Mengyan</span></div>
<div>-- <br>
Mengyan Zhu<br>
Psychology department, Peking University<br>
Dormitory 2061, Building 48,No.5 Yiheyuan Road, Haidian
District, Beijing 100871, China <br>
E-mail: <a moz-do-not-send="true"
href="mailto:bj12116@gmail.com" target="_blank">bj12116@gmail.com</a><br>
</div>
<br>
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<br>
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<br>
<pre class="moz-signature" cols="72">--
Dr. Gangadhar GARIPELLI,
Post-doc
EPFL SV BMI LNCO
SV 2805 (Batiment SV),
Station 11, 1015 Lausanne
<a class="moz-txt-link-abbreviated" href="mailto:gangadhar.garipelli@epfl.ch">gangadhar.garipelli@epfl.ch</a>
<a class="moz-txt-link-freetext" href="http://people.epfl.ch/gangadhar.garipelli">http://people.epfl.ch/gangadhar.garipelli</a>
Scientist
MindMaze, EPFL Garage
Chemin de la Raye 13
1024 Ecublen VD
Phone: +41 21 552 0805
<a class="moz-txt-link-abbreviated" href="http://www.mindmaze.com">www.mindmaze.com</a></pre>
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