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<body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><span class="">Hi all,</span><span class=""><br class=""><br class=""></span><span class="">I was wondering whether there are any one-sample permutation statistics to test for a difference from zero implemented in Fieldtrip, ideally to work with monte-carlo permutations? Didn’t find any standard of 'statfun’ options in the documentation.<br class=""></span><span class=""><br class=""></span><span class="">My goal is to do maxstat correction on ERF MEG data over voxel space.<br class=""></span><span class="">cfg.latency = [-0.2 0.8];<br class="">cfg.parameter = 'avg';<br class="">cfg.method = 'montecarlo';<br class="">cfg.numrandomization = 2000;<br class="">cfg.correctm = 'max'; % MaxStat correction<br class="">cfg.design = ones(1,nsub);<br class="">cfg.ivar = 1; % independent variable<br class="">cfg.statistic = ???;<br class="">[stat] = ft_timelockstatistics (cfg, timelock{:,1});<br class=""><br class=""> I read the discussions about one-sample cluster-based permutation tests (e.g. <a href="https://mailman.science.ru.nl/pipermail/fieldtrip/2018-August/012314.html" class="">https://mailman.science.ru.nl/pipermail/fieldtrip/2018-August/012314.html</a></span>). However, for me it's not possible to permute the baseline and post stimulus condition because I have expectation reactions in the baseline. <div class=""><span class="">Anybody could suggest me how I could validly test whether my ERF is signficantly different from zero at every time-frame and electrode? <br class=""><br class=""></span><span class="">Thanks, <br class=""></span><span class=""><br class=""></span><span class="">Lars</span></div></body></html>