<meta http-equiv="Content-Type" content="text/html; charset=utf-8"><div dir="ltr"><div dir="ltr"><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><span lang="EN-US">Dear
fieldtrip developers,</span></p>

<p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><span lang="EN-GB">I have a
question about correlation of neuronal and behavioural data. You have discussed
this question here: <span class="gmail-MsoHyperlink" style="color:rgb(5,99,193);text-decoration-line:underline"><a href="http://www.fieldtriptoolbox.org/faq/how_can_i_test_for_correlations_between_neuronal_data_and_quantitative_stimulus_and_behavioural_variables/" style="color:rgb(5,99,193)">http://www.fieldtriptoolbox.org/faq/how_can_i_test_for_correlations_between_neuronal_data_and_quantitative_stimulus_and_behavioural_variables/</a></span></span></p>

<p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><span lang="EN-GB">I have
taken the code, which was given as an example and added cluster-based
correction method. My goal is to perform correlation between neuronal and
behavioural data and then to account for multiple comparisons with cluster
statistics. </span></p>

<p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><span lang="EN-GB">Could you,
please, tell me, whether this script does it? </span></p>

<p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><span lang="EN-GB">Here is the
script:</span></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px">% example script </span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px">cfg = [];</span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px">cfg.statistic        = 'ft_statfun_correlationT';</span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px">cfg.method           = 'montecarlo';</span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px">cfg.numrandomization = 1000;</span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px">cfg.correctm         = 'cluster';</span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px"><br></span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px">cfg.clusteralpha     = 0.025;</span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px">cfg_neighb.method = 'triangulation';</span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px">cfg_neighb.layout = 'acticap_62'; </span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px">cfg.neighbours = ft_prepare_neighbours(cfg_neighb, data_brain{:});</span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px"><br></span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px">n1 = 42;    % n1 is the number of subjects</span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px">design(1,1:n1)       = behav_data(:,1); % mean reaction time by subject</span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px">cfg.design           = design;</span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px">cfg.ivar             = 1;</span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span lang="EN-GB" style="font-size:14.6667px"></span></font></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%"><font face="Calibri, sans-serif"><span style="font-size:14.6667px">stat = ft_freqstatistics(cfg, data_brain{:});</span></font></p><div><br></div><div>Thank you a lot in advance! </div>-- <br><div dir="ltr" class="gmail_signature"><div dir="ltr">Best regards, <div>Valeriya Belyaeva </div><div>HSE, Cognitive science and technologies </div><div><br></div></div></div></div></div>