<div style="font-family: system-ui; font-size: 14px"><div>Dear fieldtrip experts!</div><div><br></div><div>Hello? I'm having some difficulties with statistical analysis and have a question.</div><div>I am planning to perform an independent sample regression analysis in FieldTrip using wPLI values calculated from 148 atlas-based scouts extracted from Brainstorm time series.</div><div>I have imported the difference in wPLI between two conditions from Brainstorm into FieldTrip, and the data is formatted as 10878x1x4 (data x time x frequency bin).</div><div>I've appended individual behavioral measures as independent variables for 18 subjects' data.</div><div>Afterwards, I created code to find significant masks in 'stat'.</div><div>However, I have not found any significant masks, which seems unusual.</div><div>I am using FDR for multiple corrections, and it might mean that my hypothesis is rejected, but it seems odd that there are no significant masks even when I set the alpha value to 1.</div><div>Could there be any issues in the code that might be causing problems?</div><div>Without setting corrections, approximately 500 channels are found to be significant...</div><div><br></div><div><br></div><div><span style="white-space: pre;">stat = struct();</span><span style="white-space: pre;">all_p_values = []; </span></div><div><span style="white-space: pre;">load(<span style="color: #a709f5;">'c_stat.mat'</span>);</span></div><div><span style="white-space: pre;">independent_variable = zscore(independent_variable);</span></div><div><span style="white-space: pre;">total_data = {};</span></div><div><span style="white-space: pre;"><span style="color: #0e00ff;">for </span>i = 1:length(files)</span><span style="white-space: pre;"> </span></div><div><span style="white-space: pre;"> data = load(fullfile(dataPath, files(i).name));</span><span style="white-space: pre;"> </span></div><div><span style="white-space: pre;"> nan_indices = all(isnan(data.powspctrm), 3);</span><span style="white-space: pre;"> </span><span style="white-space: pre;"> </span></div><div><span style="white-space: pre;"><font color="#008013"> </font>valid_indices = find(~nan_indices);</span><span style="white-space: pre;"> </span><span style="white-space: pre;"> </span></div><div><span style="white-space: pre;"><font color="#008013"> </font>data.powspctrm = data.powspctrm(valid_indices, :, :);</span><span style="white-space: pre;"> </span></div><div><span style="white-space: pre;"> total_data{i} = data;</span></div><div><span style="white-space: pre;"><span style="color: #0e00ff;">end</span></span></div><div><span style="white-space: pre;"><br></span></div><div><span style="white-space: pre;">design(1,1:18) =independent_variable;</span></div><div><span style="white-space: pre;"><br></span></div><div><span style="white-space: pre;">cfg = [];</span></div><div><span style="white-space: pre;">cfg.statistic = <span style="color: #a709f5;">'ft_statfun_indepsamplesregrT'</span>;</span></div><div><span style="white-space: pre;">cfg.method = <span style="color: #a709f5;">'montecarlo'</span>;</span></div><div><span style="white-space: pre;">cfg.numrandomization = 1000;</span></div><div><span style="white-space: pre;">cfg.design = design;</span></div><div><span style="white-space: pre;">cfg.ivar = 1;</span></div><div><span style="white-space: pre;">cfg.correctm = <span style="color: #a709f5;">'fdr'</span>;</span></div><div><span style="white-space: pre;">cfg.alpha = 0.05;</span></div><div><span style="white-space: pre;">cfg.tail = 0;</span></div><div><span style="white-space: pre;">stat = ft_freqstatistics(cfg, total_data{:});</span></div><div><span style="white-space: pre;"><br></span></div><div><span style="white-space: pre;"><br></span></div><div><span style="white-space: pre;"><br></span></div><div><span style="white-space: pre;">significant_indices = find(stat.mask);</span></div><div><span style="white-space: pre;"><span style="color: #0e00ff;">if </span>~isempty(significant_indices)</span><span style="white-space: pre;"> fprintf(<span style="color: #a709f5;">'Found %d significant results:\n'</span>, length(significant_indices));</span><span style="white-space: pre;"> disp(significant_indices);</span><span style="white-space: pre;"><span style="color: #0e00ff;">else</span></span><span style="white-space: pre;"> disp(<span style="color: #a709f5;">'No significant results found.'</span>);</span><span style="white-space: pre;"><span style="color: #0e00ff;">end</span></span></div><!-- begin signature --><!-- end signature --></div><!--[if mso]>
<table style ="display:none"><tr><td><img src="https://kaist.gov-dooray.com/mail-receipts?img=35484142365a502f-2c1e41124599bc5e-36a129ef9e602815-36a12b74bca78de0.gif" border="0"></td></tr></table>
<![endif]-->
<!--[if !mso]><!-- -->
<table style ="visibility: hidden;"><tr><td><img src="https://kaist.gov-dooray.com/mail-receipts?img=35484142365a502f-2c1e41124599bc5e-36a129ef9e602815-36a12b74bca78de0.gif" border="0"></td></tr></table>
<!--[endif]-->