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<p class="MsoNormal"><span lang="EN-US">Hi everybody,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">I' m using the 'ft_freqstatistics' function to find significant differences between two time-frequency spectra
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">(see the used options down below).<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">While fieldtrip calculates the permutation test it throws the following information:<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">"performing FDR correction for multiple comparisons<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">the returned probabilities are uncorrected, the thresholded mask is corrected"<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Since I'm using the p-values for the following analysis and not the thresholded mask, I was wondering how I
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">get my p-values corrected for multiple comparison?<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Does anyone has an idea? Thanks in advance!<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">I used the following options:<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">cfg = [];<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">cfg.channel = 'all';<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">cfg.latency = [2.3 2.8];<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">cfg.avgoverchan = 'yes';<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">cfg.avgovertime = 'no';<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">cfg.frequency = [9 14];<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">cfg.parameter = 'powspctrm';<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">cfg.alpha = 0.05;<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">cfg.tail = 0;<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">cfg.correctm = 'fdr';<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">cfg.correcttail = 'prob';<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">cfg.ivar = 1; <o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">cfg.statistic = 'ft_statfun_indepsamplesT';
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">cfg.method = 'montecarlo'; <o:p>
</o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">cfg.design = design; % defined in at the beginning of the function<o:p></o:p></span></p>
<p class="MsoNormal">cfg.numrandomization = 1000;<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span lang="EN-US">stat_TF = ft_freqstatistics(cfg, TF_remove, TF_noremove)<o:p></o:p></span></p>
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