<div dir="ltr"><div class="gmail_default" style="color:rgb(51,51,153)">

<div class="gmail_default" style="font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;color:rgb(51,51,153)">Hello Jay, in ICA/Eeglab dipole-modeling, the time series of neural independent components (after running ICA in eeglab) are usually considered to index the estimated time signal of their source dipole (s). IC time series are accessed from the ICA activations in the EEG structure of eeglab/matlab. </div><div class="gmail_default" style="font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;color:rgb(51,51,153)"><br></div><div class="gmail_default" style="font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;color:rgb(51,51,153)">If you haven't had a chance to, please see the eeglab tutorials on generating and reading IC activations, as well as regarding how to access eeglab data structures in matlab.</div><div class="gmail_default" style="font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;color:rgb(51,51,153)"><br></div><div class="gmail_default" style="font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;color:rgb(51,51,153)">Put simply, the IC-dipole(s) are thought to generate the IC-specific topographies seen at the scalp. To get more background about the reasoning for this, one can look in eeglab tutorial, and search on google scholar for review articles about EEG/ICA. </div><div class="gmail_default" style="font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;color:rgb(51,51,153)"><br></div><div class="gmail_default" style="font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;color:rgb(51,51,153)">One good resource are reviews, papers,and presentations from Scott Makeig, many of which are available on the SCCN paper archive.  <span style="font-size:12.8px">Much more also in the eeglab tutorial and eeglab summer school videos/presentations.</span></div><div class="gmail_default" style="font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;color:rgb(51,51,153)">For other kinds of source analyses see eeglab tools from Ojeda, as well as other EEG software like Fieldtrip, Brainstorm, and MNE Python.</div><div class="gmail_default" style="font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;color:rgb(51,51,153)"><br></div><div class="gmail_default" style="font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;color:rgb(51,51,153)">Example of a good review chapter with some relevant background (search google scholar or eeglablist for other references)<em style="color:rgb(0,0,255);font-family:Helvetica,sans-serif,Ariel;font-size:medium;background-color:rgb(255,255,238)"><font color="black"><font color="blue"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="blue"><font color="black"><font color="blue"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="blue"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><font color="black"><li style="margin-left:15px;display:inline!important"><p align="justify" style="display:inline!important"><font color="#dd6a66"><b>S Makeig</b></font>, Onton J. ERP features and EEG dynamics: An ICA perspective (1.1MB pdf) <em>Oxford Handbook of Event-Related Potential Components</em>, Ed. Luck S & Kappenman E, 2011.</p></li></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></font></em></div><br class="gmail-Apple-interchange-newline">

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