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analysis3_showPreResult.m
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analysis3_showPreResult.m
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%% Step 4. Show trend of absolute FA / MD for all subject
% Preliminary result before finding alteredRegion.
clear;clc; %close all;
CASE = 1; % subj=1 or ctr=2
%% RESULTS OF SUBJECTS
if CASE == 1
load meanFA_inWMtract_subj.mat
load meanMD_inWMtract_subj.mat
FA_subj = mean(meanFA_subj);
MD_subj = mean(meanMD_subj);
% FA: show results in errorbar (mean and CI(1*std))
figure
errorbar(FA_subj, std(meanFA_subj))
set(gca,'XTick',1:4,'XTickLabel', {'Pre' 'In1' 'In2' 'Post'},'FontSize', 16)
title('Means and Confidence Intervals of mean FA : FB(N=45)','FontSize',18);
ylabel('FA', 'FontSize',18); axis([0.5 4.5 0.46 0.5]);
hold on; plot(FA_subj, 'd');
% MD: show results in errorbar (mean and CI(1*std))
figure
errorbar(MD_subj, std(meanMD_subj))
set(gca,'XTick',1:4,'XTickLabel', {'Pre' 'In1' 'In2' 'Post'},'FontSize', 16)
title('Means and Confidence Intervals of mean MD : FB(N=45)','FontSize',18);
ylabel('MD', 'FontSize',18); axis([0.5 4.5 7.53*10^(-4) 8.15*10^(-4)]);
hold on; plot(MD_subj, 'd');
end
% % show results in whisker plot (median and CI)
% figure
% boxplot(meanFA_subj, 'whisker', 2.0);
% hold on; plot(FA_subj, 'd');
%% RESULTS OF CONTROLS
if CASE == 2
load meanFA_inWMtract_control.mat
load meanMD_inWMtract_control.mat
FA_ctr = mean(meanFA_ctr);
MD_ctr = mean(meanMD_ctr);
% FA: show results in errorbar (mean and CI(1*std))
figure
errorbar(FA_ctr, std(meanFA_ctr))
set(gca,'XTick',1:2,'XTickLabel', {'Test' 'Retest'},'FontSize', 16)
title('Means and Confidence Intervals of mean FA : CON(N=15)','FontSize',18);
ylabel('mean FA', 'FontSize',18); axis([0.5 2.5 0.46 0.5]);
hold on; plot(FA_ctr, 'd');
% MD: show results in errorbar (mean and CI(1*std))
figure
errorbar(MD_ctr, std(meanMD_ctr))
set(gca,'XTick',1:2,'XTickLabel', {'Test' 'Retest'},'FontSize', 16)
title('Means and Confidence Intervals of mean MD : CON(N=15)','FontSize',18);
ylabel('mean MD', 'FontSize',18); axis([0.5 2.5 7.53*10^(-4) 8.15*10^(-4)]);
hold on; plot(MD_ctr, 'd');
end
% % show results in whisker plot (median and CI)
% figure
% boxplot(meanFA_ctr, 'whisker', 2.0);
% hold on; plot(FA_ctr, 'd');