-
Notifications
You must be signed in to change notification settings - Fork 0
/
Fig_4c.m
executable file
·132 lines (95 loc) · 4.77 KB
/
Fig_4c.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
function Fig_4c
% Plot classification accuracy for different percentages of voxels. Voxels
% are sorted by their ABSOLUTE t-values (for the contrast: words-vs-all).
contrast_name = 'words';
DataDir='./data/lateral_VTC/selectivity_analyses/words_absolute_voxels_percent';
FunctionsDir = './functions';
addpath(FunctionsDir)
ResultsDir = './figures';
% data are stored in matrices with the following format:
% number of sessions x categories (10) x voxel numbers
% (10, 20 , 30, 40, 50, 60, 70, 80, 90, 100 % of voxels)
% we only need words (column 9)
% we have ten levels of voxels percentages from 10 to 100% increasing in
% steps of 10.
nr_voxel_percent = 10;
%% get data - young children
load(fullfile(DataDir,'correctC_lh_youngc_inplane_3_Runs_z_topvoxels.mat'))
load(fullfile(DataDir,'correctC_rh_youngc_inplane_3_Runs_z_topvoxels.mat'))
youngc_lh = lh_correctC_avRuns_all(:,9,:);
youngc_rh = rh_correctC_avRuns_all(:,9,:);
youngc_rh = reshape(youngc_rh,[length(youngc_rh) nr_voxel_percent]);
youngc_lh = reshape(youngc_lh,[length(youngc_lh) nr_voxel_percent]);
clearvars lh_correctC_avRuns_all rh_correctC_avRuns_all
%% get data - older children
load(fullfile(DataDir,'correctC_lh_olderc_inplane_3_Runs_z_topvoxels.mat'))
load(fullfile(DataDir,'correctC_rh_olderc_inplane_3_Runs_z_topvoxels.mat'))
olderc_lh = lh_correctC_avRuns_all(:,9,:);
olderc_rh = rh_correctC_avRuns_all(:,9,:);
olderc_lh = reshape(olderc_lh,[length(olderc_lh) nr_voxel_percent]);
olderc_rh = reshape(olderc_rh,[length(olderc_rh) nr_voxel_percent]);
clearvars lh_correctC_avRuns_all rh_correctC_avRuns_all
%% get data - adults
load(fullfile(DataDir,'correctC_lh_adults_inplane_3_Runs_z_topvoxels.mat'))
load(fullfile(DataDir,'correctC_rh_adults_inplane_3_Runs_z_topvoxels.mat'))
adults_lh = lh_correctC_avRuns_all(:,9,:);
adults_rh = rh_correctC_avRuns_all(:,9,:);
adults_lh = reshape(adults_lh,[length(adults_lh) nr_voxel_percent]);
adults_rh = reshape(adults_rh,[length(adults_rh) nr_voxel_percent]);
clearvars lh_correctC_avRuns_all rh_correctC_avRuns_all
%% PREPARE FOR PLOTTING
voxel_nr = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100];
voxel_labels = {'10', '20', '30', '40', '50', '60', '70', '80', '90','100'};
hemis = {'Left lateral VTC', 'Right lateral VTC'};
youngc_both ={youngc_lh, youngc_rh};
olderc_both={olderc_lh, olderc_rh};
adults_both={adults_lh, adults_rh};
%% plotting
% NOTE: data of the right hemisphere, which is shown on the
% right side of the plot made by this script is now in the supplements (Fig S4c).
% general plot setting
f2=figure('Position', [50, 50, 800, 600],'Color','w');
for c= 1:length(hemis)
% two subplots: one for lh and one for rh
subplot(1,2,c)
hold on
errorbar3(voxel_nr, mean(adults_both{c},1), (std(adults_both{c})/sqrt(length(adults_both{c}))),1,[ 1 .5*1.5 .477*1.5])%[0.98 0.5 0.447])
errorbar3(voxel_nr, mean(olderc_both{c},1), (std(olderc_both{c})/sqrt(length(olderc_both{c}))),1,[.11*1.5 .56*1.5 1]);%[0.11 0.56 1])
errorbar3(voxel_nr, mean(youngc_both{c},1), (std(youngc_both{c})/sqrt(length(youngc_both{c}))),1,[1.2*143/255 1.1*197/255 1])%[143/255 197/255 223/255])
plot(voxel_nr, zeros(size(voxel_nr)),'LineWidth',1,'Color',[0 0 0]);
plot(voxel_nr, mean(adults_both{c},1),'LineWidth',3,'Color',[0.98 0.5 0.447]);
plot(voxel_nr, mean(olderc_both{c},1),'LineWidth',3,'Color',[0.11 0.56 1]);
plot(voxel_nr, mean(youngc_both{c},1),'LineWidth',3,'Color',[143/255 190/255 223/255]);
ylim([0 1]);
xlim([0 100])
hold off
set(gca,'XTickLabel',voxel_labels)
% plot axis only for plots on the left
if c==1
set(gca,'YTicklabel', [0 10 20 30 40 50 60 70 80 90 100],'FontSize',14 )
ylabel({'Word classification [% correct]'},'FontSize',16)
else
set(gca,'ytick',[]);
set(gca,'ycolor',[1 1 1])
end
set(gca,'xTick', [20, 40, 60, 80, 100], 'XTicklabel',{'20', '40', '60', '80','100'},'FontSize',14);
set(gca, 'Ticklength', [0 0])
title(hemis{c},'FontSize', 14)
% indicate chance level
r = refline([0 0.1]);
set(r,'Color',[0.5,0.5,0.5])
set(get(get(r,'Annotation'),'LegendInformation'),'IconDisplayStyle','off')
end
% plot overall legend
hL=legend ({'22-28','10-12','5-9'}, 'Orientation','vertical');
newPosition = [0.85 0.75 0.01 0.1];
newUnits = 'normalized';
set(hL,'Position', newPosition,'Units', newUnits, 'LineWidth', 3 );
set(hL, 'box', 'off')
text(-140, -0.1, sprintf('%% of voxels sorted by absolute t-values (contrast: %s vs all)', contrast_name),'FontSize',14)
%save plot - NOTE: data of the right hemisphere, which is shown on the
%right side of the plot here is now in the supplements (Fig S4c).
set(f2, 'PaperPositionMode', 'auto')
filename = sprintf('Fig_4c_S4c_Classifier_wta_%s_percent_abs_voxels', contrast_name);
print(fullfile(ResultsDir, filename), '-dpng', '-r900');
end