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<div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial">Hello EEGLAB list,</div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial">I have a (probably naive) question regarding ICA.<br></div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial">I have been using an <span style="font-size:12.8px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;float:none;display:inline">EGI 128-channel system to record resting states. I have been reading a bit about ICA, but </span>it is still not clear to me:</div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial">- whether I should or not choose the whole 128 channel set for running ICA, and</div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial">- consequently, how I should <i>a priori</i> decide which channels to consider for ICA and which not.</div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial">The recordings are ~2 minutes long and the sampling rate is 1000 Hz. I would like to keep as many channels as possible during pre-processing, and afterwards discard the ones I realize are not useful to my analysis - if this approach seems reasonable.</div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial">Also:</div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial">- if as a very first step I delete some clearly bad channels and then interpolate them to repopulate the original channel set, is it legit to include such interpolated channels during ICA?</div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial">Thank you very much!</div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial">Best,</div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial">-Fabio</div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial">--------------------------------</div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial"><i>Fabio Giatsidis, M.D.</i></div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial">Resident in Neurology - University of Rome "Tor Vergata" - Rome, Italy</div><div style="font-size:small;text-decoration-style:initial;text-decoration-color:initial">Post-doctoral research fellow - Brown University - Providence, RI, USA</div></div>