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<p class="MsoNormal"><span lang="EN-US">Hi Irina,</span></p>
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<p class="MsoNormal"><span lang="EN-US">I’ve been wondering about a similar question a while ago. As far as I can see, I think it can affect cluster size, but without compromising the permutation test. More smoothing should (I guess) lead to larger clusters,
but this should affect both the observed clusters as well as the clusters in your premutation distribution (after having permuted data labels). So I guess the comparison should be unaffected.</span></p>
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________________________________________<br>
Matthias Franken<br>
postdoctoral researcher<br>
Experimental Psychology Department<br>
Ghent University</p>
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<p class="MsoNormal" style="border:none; padding:0cm"><b>From: </b><a href="mailto:i.simanova@donders.ru.nl">Simanova, I. (Irina)</a><br>
<b>Sent: </b>Tuesday, 26 June 2018 18:44<br>
<b>To: </b><a href="mailto:fieldtrip@science.ru.nl">fieldtrip@science.ru.nl</a><br>
<b>Subject: </b>[FieldTrip] low-pass filtering</p>
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<span class="" style="vertical-align:baseline; white-space:pre-wrap">Dear experts,</span></div>
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<span class="" style="white-space:pre-wrap; vertical-align:baseline">We recently submitted a paper where we use a cluster permutation analysis of ERFs (testing conditions
<span class="" style="color:rgb(34,34,34); font-family:sans-serif; orphans:2; white-space:normal; widows:2">
exchangeability)</span>. The EEG was sampled at 500 Hz and low-pass filtered at 40 Hz during preprocessing. One of the reviewers has indicated that u</span><span class="" style="white-space:pre-wrap">sing this temporal resolution for the analysis seems unnecessary
given the low-pass filter, which makes each time point not independent due to smoothing. He further asks: "</span><span class="" style="white-space:pre-wrap">Do all key significant components replicate if the analysis is performed using a mean amplitude that
is averaged for larger time bins (25 ms bins) instead of individual time points?"</span></div>
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I understand that when doing parametric analysis one might want to reduce the number of comparisons by averaging ERF samples over time bins. But here we solve the MCP with the cluster analysis. But it also seems like the reviewer is concerned about non-independecy
in the data resulting from low-pass filtering. I wanted to check with you: can smoothing time-series indeed compromise the cluster-based analysis (e.g. affect the cluster size)?</div>
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Thank you, </div>
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Kind regards, </div>
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Irina</div>
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