<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><p><span style="padding: 3px 10px; border-radius: 5px; color: #ffffff; font-weight: bold; display: inline-block; background-color: #ff0000;"> External Email - Use Caution </span></p><p></p><div class="">To facilitate interfacing with R there is <a href="https://mne-tools.github.io/mne-r/index.html" class="">https://mne-tools.github.io/mne-r/index.html</a> </div><div class="">For toy examples, see vignettes, for example: <a href="https://mne.tools/mne-r/articles/plot_evoked_multilevel_model.html" class="">https://mne.tools/mne-r/articles/plot_evoked_multilevel_model.html</a></div><div class="">Hope that helps,</div><div class="">Denis</div><div class=""><br class=""></div><div class=""><br class=""></div><br class=""><div><blockquote type="cite" class=""><div class="">On Jun 10, 2020, at 4:46 PM, Phillip Alday <<a href="mailto:phillip.alday@mpi.nl" class="">phillip.alday@mpi.nl</a>> wrote:</div><br class="Apple-interchange-newline"><div class=""><p style="caret-color: rgb(0, 0, 0); font-family: Helvetica; font-size: 14px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none;" class=""><span style="padding: 3px 10px; border-top-left-radius: 5px; border-top-right-radius: 5px; border-bottom-right-radius: 5px; border-bottom-left-radius: 5px; color: rgb(255, 255, 255); font-weight: bold; display: inline-block; background-color: rgb(255, 0, 0);" class=""> External Email - Use Caution </span></p><div style="caret-color: rgb(0, 0, 0); font-family: Helvetica; font-size: 14px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none;" class=""><br class="webkit-block-placeholder"></div><p style="caret-color: rgb(0, 0, 0); font-family: Helvetica; font-size: 14px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none;" class="">For individual differences, you'll definitely want to use mixed-effects models. Unfortunately, the options for mixed models is rather limited in Python in general.<span class="Apple-converted-space"> </span><br class=""></p><p style="caret-color: rgb(0, 0, 0); font-family: Helvetica; font-size: 14px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none;" class="">That said, I've used MNE for years to do all the EEG/ERP wrangling and then used lme4/MixedModels.jl for the analysis of the extracted samples. For example, check out (shameless self promotion!):<span class="Apple-converted-space"> </span><a class="moz-txt-link-freetext" href="https://osf.io/pnaku">https://osf.io/pnaku</a></p><p style="caret-color: rgb(0, 0, 0); font-family: Helvetica; font-size: 14px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none;" class="">Phillip<br class=""></p><p style="caret-color: rgb(0, 0, 0); font-family: Helvetica; font-size: 14px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none;" class=""><br class=""></p><div class="moz-cite-prefix" style="caret-color: rgb(0, 0, 0); font-family: Helvetica; font-size: 14px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none;">On 10/6/20 11:20 am, S.P.H. Speer wrote:<br class=""></div><blockquote type="cite" cite="mid:AM0PR02MB5729F2A8ED4643E1D7B24A65CB830@AM0PR02MB5729.eurprd02.prod.outlook.com" style="font-family: Helvetica; font-size: 14px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; text-decoration: none;" class=""><p class=""><span style="padding: 3px 10px; border-top-left-radius: 5px; border-top-right-radius: 5px; border-bottom-right-radius: 5px; border-bottom-left-radius: 5px; color: rgb(255, 255, 255); font-weight: bold; display: inline-block; background-color: rgb(255, 0, 0);" class=""> External Email - Use Caution </span></p><div class="WordSection1" style="page: WordSection1;"><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span lang="EN-US" class="">Dear MNE team,<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span lang="EN-US" class=""><o:p class=""> </o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span lang="EN-US" class="">I’ve scrolled through the documentation on MNE and also searched the mailing list but could not really find any documentation on how to conduct group level analysis investigating individual differences. I would like to explore whether the difference in ERPS between two conditions within subjects differs along a behavioral variable across individuals. Is this feasible with the functions provided in MNE?<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span lang="EN-US" class="">Ideally I would like to know at each timepoint how the difference between conditions correlates with the individual difference measure.<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span lang="EN-US" class=""><o:p class=""> </o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span lang="EN-US" class="">Thank you very much for your help,<o:p class=""></o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span lang="EN-US" class=""><o:p class=""> </o:p></span></div><div style="margin: 0cm 0cm 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span lang="EN-US" class="">Sebastian<o:p class=""></o:p></span></div></div><br class=""><fieldset class="mimeAttachmentHeader"></fieldset><pre class="moz-quote-pre" wrap="">_______________________________________________
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