<meta http-equiv="Content-Type" content="text/html; charset=utf-8"><div dir="ltr">Thank you a lot, Arjen. <div><br></div><div>Best regards,</div><div>Valeriya</div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">вт, 19 февр. 2019 г. в 18:44, Arjen Stolk <<a href="mailto:a.stolk8@gmail.com">a.stolk8@gmail.com</a>>:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="auto"><div dir="ltr"></div><div dir="ltr">Hi Valeriya,</div><div dir="ltr"><br></div><div dir="ltr">That looks to be correct use of the correlationT method. The behavioral data goes into the design matrix, as you did.</div><div dir="ltr"><br></div><div dir="ltr">Best,</div><div dir="ltr">Arjen</div><div dir="ltr"><br>On Feb 19, 2019, at 6:35 AM, Valeriya Belyaeva <<a href="mailto:vabelyaeva94@gmail.com" target="_blank">vabelyaeva94@gmail.com</a>> wrote:<br><br></div><blockquote type="cite"><div dir="ltr"><div dir="ltr"><br><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">---------- Forwarded message ---------<br>From: <strong class="gmail_sendername" dir="auto">Valeriya Belyaeva</strong> <span dir="ltr"><<a href="mailto:vabelyaeva94@gmail.com" target="_blank">vabelyaeva94@gmail.com</a>></span><br>Date: ср, 13 февр. 2019 г. в 16:28<br>Subject: correlation with behavioural data and cluster statistics<br>To: <<a href="mailto:fieldtrip@science.ru.nl" target="_blank">fieldtrip@science.ru.nl</a>><br></div><br><br><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-m_7434744200501939998m_4458023285104014310gmail-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)" target="_blank">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-m_7434744200501939998m_4458023285104014310gmail_signature"><div dir="ltr">Best regards, <div>Valeriya Belyaeva </div><div>HSE, Cognitive science and technologies </div><div><br></div></div></div></div></div>
</div><br clear="all"><div><br></div>-- <br><div dir="ltr" class="gmail-m_7434744200501939998gmail_signature"><div dir="ltr">Best regards, <div>Valeriya Belyaeva </div><div>HSE, Cognitive science and technologies </div><div><br></div></div></div></div>
</div></blockquote><blockquote type="cite"><div dir="ltr"><span>_______________________________________________</span><br><span>fieldtrip mailing list</span><br><span><a href="https://mailman.science.ru.nl/mailman/listinfo/fieldtrip" target="_blank">https://mailman.science.ru.nl/mailman/listinfo/fieldtrip</a></span><br><span><a href="https://doi.org/10.1371/journal.pcbi.1002202" target="_blank">https://doi.org/10.1371/journal.pcbi.1002202</a></span><br></div></blockquote></div>_______________________________________________<br>
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</blockquote></div><br clear="all"><div><br></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>