Hi all,<div><br></div><div>I am doing the TF analysis on EEG data and I see some worrisome &quot;spots&quot; in my rescaled TF, which translate as sharp &quot;dips&quot; in the waveform of averaged TF over 12-20Hz when I convert TF into image. I know that these spots could be from the noise (since it is a single subject data), but I am worried that they will influence the statistics.</div>
<div><br></div><div>I have attached the ERP waveform (-200 to 2000ms), its TF representation (4-20Hz, -198-2000ms), rescaled TF (using Log rescaling, baseline=-148 to 0), and the waveform when TF is averaged over 12-20Hz range.</div>
<div><br></div><div>Is it possible that since these dips are random they will not influence the results in the scalp-space considerably? Is there anything I can do to minimize these dips, like lowpass filter the ERP before doing TF?</div>
<div><br></div><div>thanks for your help in advance</div><div><br></div><div>- Muhammad</div>