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Copy pathGSP_Paradigm.m
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executable file
·179 lines (142 loc) · 6.73 KB
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%% This function constructs the 'paradigm' of interest
function [time,Regressor] = GSP_Paradigm(PathToPar,n_rem,task)
Now = pwd;
cd(PathToPar);
% n_shift = 10;
% Creates the regressor that will highlight the presentation of the
% stimulus
switch task
case 'WorkingMemory'
Regressor = zeros(1,405);
time = 0:0.72:(405*0.72);
time = time(1:end-1);
% 0-back body
tmp = textread('0bk_body.txt');
Regressor(ceil(tmp(1)/0.72):(floor((tmp(1)/0.72)+floor(tmp(2)/0.72)))) = 1;
% 0-back faces
tmp = textread('0bk_faces.txt');
Regressor(ceil(tmp(1)/0.72):(floor((tmp(1)/0.72)+floor(tmp(2)/0.72)))) = 2;
% 0-back places
tmp = textread('0bk_places.txt');
Regressor(ceil(tmp(1)/0.72):(floor((tmp(1)/0.72)+floor(tmp(2)/0.72)))) = 3;
% 0-back tools
tmp = textread('0bk_tools.txt');
Regressor(ceil(tmp(1)/0.72):(floor((tmp(1)/0.72)+floor(tmp(2)/0.72)))) = 4;
% 2-back body
tmp = textread('2bk_body.txt');
Regressor(ceil(tmp(1)/0.72):(floor((tmp(1)/0.72)+floor(tmp(2)/0.72)))) = 1;
% 2-back faces
tmp = textread('2bk_faces.txt');
Regressor(ceil(tmp(1)/0.72):(floor((tmp(1)/0.72)+floor(tmp(2)/0.72)))) = 2;
% 2-back tools
tmp = textread('2bk_places.txt');
Regressor(ceil(tmp(1)/0.72):(floor((tmp(1)/0.72)+floor(tmp(2)/0.72)))) = 3;
% 2-back places
tmp = textread('2bk_tools.txt');
Regressor(ceil(tmp(1)/0.72):(floor((tmp(1)/0.72)+floor(tmp(2)/0.72)))) = 4;
case 'Motor'
Regressor = zeros(1,284);
time = 0:0.72:(284*0.72);
time = time(1:end-1);
% left foot
tmp = textread('lf.txt');
Regressor(ceil(tmp(1,1)/0.72):(floor((tmp(1,1)/0.72)+floor(tmp(1,2)/0.72)))) = 1;
Regressor(ceil(tmp(2,1)/0.72):(floor((tmp(2,1)/0.72)+floor(tmp(2,2)/0.72)))) = 1;
% right foot
tmp = textread('rf.txt');
Regressor(ceil(tmp(1,1)/0.72):(floor((tmp(1,1)/0.72)+floor(tmp(1,2)/0.72)))) = 2;
Regressor(ceil(tmp(2,1)/0.72):(floor((tmp(2,1)/0.72)+floor(tmp(2,2)/0.72)))) = 2;
% right hand
tmp = textread('rh.txt');
Regressor(ceil(tmp(1,1)/0.72):(floor((tmp(1,1)/0.72)+floor(tmp(1,2)/0.72)))) = 3;
Regressor(ceil(tmp(2,1)/0.72):(floor((tmp(2,1)/0.72)+floor(tmp(2,2)/0.72)))) = 3;
% left foot
tmp = textread('lh.txt');
Regressor(ceil(tmp(1,1)/0.72):(floor((tmp(1,1)/0.72)+floor(tmp(1,2)/0.72)))) = 4;
Regressor(ceil(tmp(2,1)/0.72):(floor((tmp(2,1)/0.72)+floor(tmp(2,2)/0.72)))) = 4;
% % tongue
tmp = textread('t.txt');
Regressor(ceil(tmp(1,1)/0.72):(floor((tmp(1,1)/0.72)+floor(tmp(1,2)/0.72)))) = 5;
Regressor(ceil(tmp(2,1)/0.72):(floor((tmp(2,1)/0.72)+floor(tmp(2,2)/0.72)))) = 5;
case 'Language'
Regressor = zeros(1,316);
time = 0:0.72:(316*0.72);
time = time(1:end-1);
% math
tmp = textread('math.txt');
for k = 1:size(tmp,1);
Regressor(ceil(tmp(k,1)/0.72):(floor((tmp(k,1)/0.72)+floor(tmp(k,2)/0.72)))) = 1;
end
% present math
tmp = textread('present_math.txt');
for k = 1:size(tmp,1);
Regressor(ceil(tmp(k,1)/0.72):(floor((tmp(k,1)/0.72)+floor(tmp(k,2)/0.72)))) = 2;
end
% present story
tmp = textread('present_story.txt');
for k = 1:size(tmp,1);
Regressor(ceil(tmp(k,1)/0.72):(floor((tmp(k,1)/0.72)+floor(tmp(k,2)/0.72)))) = 3;
end
% question math
tmp = textread('question_math.txt');
for k = 1:size(tmp,1);
Regressor(ceil(tmp(k,1)/0.72):(floor((tmp(k,1)/0.72)+floor(tmp(k,2)/0.72)))) = 4;
end
% question story
tmp = textread('question_story.txt');
for k = 1:size(tmp,1);
Regressor(ceil(tmp(k,1)/0.72):(floor((tmp(k,1)/0.72)+floor(tmp(k,2)/0.72)))) = 5;
end
% response math
tmp = textread('response_math.txt');
for k = 1:size(tmp,1);
Regressor(ceil(tmp(k,1)/0.72):(floor((tmp(k,1)/0.72)+floor(tmp(k,2)/0.72)))) = 6;
end
% response story
tmp = textread('response_story.txt');
for k = 1:size(tmp,1);
Regressor(ceil(tmp(k,1)/0.72):(floor((tmp(k,1)/0.72)+floor(tmp(k,2)/0.72)))) = 7;
end
% story
tmp = textread('story.txt');
for k = 1:size(tmp,1);
Regressor(ceil(tmp(k,1)/0.72):(floor((tmp(k,1)/0.72)+floor(tmp(k,2)/0.72)))) = 8;
end
case 'Relational'
Regressor = zeros(1,232);
time = 0:0.72:(232*0.72);
time = time(1:end-1);
% relation
tmp = textread('relation.txt');
for k = 1:size(tmp,1);
Regressor(ceil(tmp(k,1)/0.72):(floor((tmp(k,1)/0.72)+floor(tmp(k,2)/0.72)))) = 1;
end
% errors
tmp = textread('error.txt');
for k = 1:size(tmp,1);
Regressor(ceil(tmp(k,1)/0.72):(floor((tmp(k,1)/0.72)+floor(tmp(k,2)/0.72)))) = 2;
end
% match
tmp = textread('match.txt');
for k = 1:size(tmp,1);
Regressor(ceil(tmp(k,1)/0.72):(floor((tmp(k,1)/0.72)+floor(tmp(k,2)/0.72)))) = 3;
end
case 'Emotion'
Regressor = zeros(1,232);
time = 0:0.72:(232*0.72);
time = time(1:end-1);
% fear
tmp = textread('fear.txt');
for k = 1:size(tmp,1);
Regressor(ceil(tmp(k,1)/0.72):(floor((tmp(k,1)/0.72)+floor(tmp(k,2)/0.72)))) = 2;
end
% neutral
tmp = textread('neut.txt');
for k = 1:size(tmp,1);
Regressor(ceil(tmp(k,1)/0.72):(floor((tmp(k,1)/0.72)+floor(tmp(k,2)/0.72)))) = 2;
end
end
Regressor(1:n_rem) = [];
time(1:n_rem) = [];
cd(Now);
end