| % 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); | |