[FieldTrip] Question of cluster based permutation test
Arti Abhishek
mailtome.2113 at gmail.com
Fri Jan 1 06:34:58 CET 2021
Dear fieldtrip community,
I have a question on cluster based permutation tests where one condition is
compared with multiple other conditions. My experiment is a MMN
multi-deviant paradigm where I have 4 deviants and one standard. I want to
compare each deviant with the standard using the cluster stats to check the
presence of MMN. Do I have to apply any correction as the same standard
condition is compared multiple times? My script is below:
cfg = [];
cfg.channel = {'EEG'};
cfg.spmversion = 'spm12';
cfg.latency = [-100 600];
cfg.method = 'montecarlo';
cfg.statistic = 'depsamplesT';
cfg.correctm = 'cluster';
cfg.clusteralpha = 0.05;
cfg.clusterstatistic = 'maxsum';
cfg.minnbchan = 2;
cfg.tail = 0;
cfg.clustertail = 0;
cfg.alpha = 0.025;
cfg.numrandomization = 5000;
cfg_neighb.layout = lay;
cfg_neighb.method = 'triangulation';
cfg.neighbours = ft_prepare_neighbours(cfg_neighb);
%cfg.neighbours = neighbours;
cfg.uvar = 1;
cfg.ivar = 2;
cfg.design = [1:19 1:19; ones(1,19) 2*ones(1,19)];
Stat_MMN1 = ft_timelockstatistics(cfg,
All_Dev1{:},All_Std{:});
Stat_MMN2 = ft_timelockstatistics(cfg,
All_Dev2{:},All_Std{:});
Stat_MMN3 = ft_timelockstatistics(cfg,
All_Dev3{:},All_Std{:});
Stat_MMN4 = ft_timelockstatistics(cfg,
All_Dev4{:},All_Std{:});
Kind regards,
Arti
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