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--></style></head><body lang=EN-GB link=blue vlink="#954F72"><div class=WordSection1><p class=MsoNormal>Dear EEGlab users</p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Our Microstate Analysis Toolbox (MST) is now available on EEGlab.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>With MST we have focused on transparency and customisability in the methodology. We have therefore created an extensive and versatile toolbox, featuring all the common clustering algorithms for microstate analysis (plus some updates). <o:p></o:p></p><p class=MsoNormal> <o:p></o:p></p><p class=MsoNormal>MST includes the ability to run microstate analysis on both ERP and spontaneous (e.g. resting state) EEG.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>In the toolbox, the following clustering algorithms are currently available:<o:p></o:p></p><ul style='margin-top:0cm' type=disc><li class=MsoNormal style='mso-list:l0 level1 lfo1'>K-means.<o:p></o:p></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'>Modified K-means.<o:p></o:p></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'>Atomize and Agglomerate Hierarchical Clustering (AAHC).<o:p></o:p></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'>Topographic Atomize and Agglomerate Hierarchical Clustering (TAAHC).<o:p></o:p></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'>Variational Microstates.<o:p></o:p></li></ul><p class=MsoNormal>MST is build with customisability in mind, so it is possible to add other clustering algorithms. <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>See our guide for the full description of the toolbox as well as an introduction to the methods in microstate analysis, including a step-by-step guide with a tutorial dataset:<o:p></o:p></p><p class=MsoNormal><a href="https://www.biorxiv.org/content/early/2018/03/27/289850">https://www.biorxiv.org/content/early/2018/03/27/289850</a><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Additionally, we have sought to thoroughly document the code, to increase transparency of the methods employed.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>We hope you find this toolbox helpful and welcome all comments here or directly in our inbox.</p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Sincerely</p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Andreas Pedroni, UZH, Zürich, Switzerland; <a href="mailto:andreas.pedroni@uzh.ch">andreas.pedroni@uzh.ch</a>.</p><p class=MsoNormal>Andreas Trier Poulsen, DTU, Kgs. Lyngby, Denmark; <a href="mailto:atpo@dtu.dk">atpo@dtu.dk</a>.</p><p class=MsoNormal><o:p> </o:p></p></div></body></html>