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% difftopo - compute and plot component decomposition for the difference ERP
% between two EEG datasets. Plots into the current axis (gca);
% plot into a new empty figure as below.
% Usage:
% >> figure; difftopo(ALLEEG,eeg1,eeg2,interval);
% Inputs:
% ALLEEG - array of leaded EEG datasets
% eeg1 - index of subtrahend (+) dataset
% eeg2 - index of minuend (-) dataset
% interval - [minms maxms] latency interval in which to find
% and plot largest contributing components {default: whole epoch}
% limits - [stms endms] latenc plotting limits (in ms) {default|0: whole epoch}
% subcomps - array of component indices to remove from data
% (e.g. eye movement components) {default|0: none}
%
% Outputs: none
%
% Author: Scott Makeig, SCCN/INC/UCSD 3/28/05
% Copyright (C) Scott Makeig, SCCN/INC/UCSD 3/28/05
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program; if not, write to the Free Software
% Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
function difftopo(ALLEEG,eeg1,eeg2,interval,limits,subcomps);
if nargin < 3
help difftopo
return
end
if eeg1 < 1 | eeg1 > length(ALLEEG)
help difftopo
return
end
if eeg2 < 1 | eeg2 > length(ALLEEG)
help difftopo
return
end
if eeg1 == eeg2
help difftopo
return
end
if ndims(ALLEEG(eeg1).data) ~=3 | ndims(ALLEEG(eeg2).data) ~=3
error('EEG datasets must be epoched data');
end
if nargin < 4
interval = [ALLEEG(eeg1).xmin*999.9 ALLEEG(eeg1).xmax*999.9];
end
if nargin < 5
limits = 0; % [ALLEEG(eeg1).xmin*1000 ALLEEG(eeg1).xmax*1000];
end
if nargin < 6
subcomps = [];
end
if ~isfield(ALLEEG(eeg1),'icaweights')
error('EEG datasets must have icaweights');
end
if length(interval) ~= 2
help difftopo
return
end
if ALLEEG(eeg1).pnts ~= ALLEEG(eeg1).pnts
error('EEG datasets must have the same number of frames per epoch');
end
set(gcf,'Name','difftopo()');
diff = mean(ALLEEG(eeg1).data,3) - mean(ALLEEG(eeg2).data,3);
plottitle = [ ALLEEG(eeg1).setname ' - ' ALLEEG(eeg2).setname];
envtopo(diff,ALLEEG(eeg1).icaweights*ALLEEG(eeg1).icasphere,...
'chanlocs',ALLEEG(eeg1).chanlocs, ...
'timerange',[ALLEEG(eeg1).xmin*1000 ALLEEG(eeg1).xmax*1000],...
'limits',limits,...
'limcontrib',interval,...
'title',plottitle, ...
'subcomps',subcomps);