Dear experts,

I have got tbss_tfce_corrp_tstat1 output after, 24 ADHD and 24 Control patients processed by TBSS scripts. When I run "cluster" command I get this;

erdem@erdem-e6420-2:~/Desktop/stats$ cluster -i tbss_tfce_corrp_tstat1.nii.gz -t 0.95

Cluster Index Voxels MAX MAX X (vox) MAX Y (vox) MAX Z (vox) COG X (vox) COG Y (vox) COG Z (vox)

1 29243 0.996 64 159 73 91.2 113 89.6

If you look "tstat1_2014-08-0810:11:40.png" you can see there are lots of regions varied than 0.996. So what am I doing wrong here? 

And what is the solution for finding all significant clusters? I folllowed a way (commands are below); first created masks of brain, such as "Body_of_corpus_callosum_mask.nii.gz" then multiply it with "tbss_tfce_corrp_tstat1.nii.gz" image, and finally applied cluster command. Does that way make sense? (Files are in this link https://www.dropbox.com/sh/jf41qd38emwu256/AABoL9l4mbs-bwJw_DXhvJaMa )

erdem@erdem-e6420-2:~/Desktop/stats$ fslmaths tbss_tfce_corrp_tstat1 -mul Body_of_corpus_callosum_mask.nii.gz Body_of_corpus_callosum_tstat1

erdem@erdem-e6420-2:~/Desktop/stats$ cluster -i Body_of_corpus_callosum_tstat1.nii.gz -t 0.95

Cluster Index Voxels MAX MAX X (vox) MAX Y (vox) MAX Z (vox) COG X (vox) COG Y (vox) COG Z (vox)

66 3480 0.996 64 159 73 66.3 130 89.8

65 2490 0.982 127 114 58 114 114 82.2

64 815 0.982 54 76 66 54.7 75.2 78.3

63 509 0.982 124 71 69 122 71.1 80.9

62 468 0.98 108 163 89 112 156 82.5

61 384 0.982 127 99 101 123 98.5 106

60 184 0.994 60 105 109 56.6 95.1 107

59 155 0.982 131 79 80 128 80.5 87.7

58 139 0.984 98 153 90 97.4 124 102

57 116 0.984 110 85 103 110 95.3 106

56 109 0.994 44 119 95 47.9 112 99.8

55 85 0.974 121 133 70 119 134 77.9

54 40 0.968 102 156 59 105 161 63.6

53 35 0.974 109 168 73 108 166 75.7

52 25 0.994 80 94 104 80 98.6 106

51 14 0.956 79 80 97 79.9 81.9 99

50 14 0.976 54 75 93 54.8 75.7 94.9

49 11 0.968 124 122 57 124 123 57.8

48 9 0.968 130 107 61 130 105 62.4

47 8 0.982 120 107 78 120 108 79

46 7 0.968 107 147 97 106 147 98.9

45 7 0.982 122 105 65 120 104 65.9

44 6 0.976 111 152 100 110 154 99.3

43 6 0.976 132 76 79 132 75.3 79.7

42 5 0.982 108 111 108 108 112 108

41 5 0.974 107 152 99 107 153 99.4

40 4 0.984 106 121 109 106 121 109

39 4 0.956 59 110 101 58.3 109 102

38 4 0.984 99 87 100 98.5 87 99.7

37 4 0.982 63 78 100 63.5 78 100

36 4 0.982 100 75 89 100 74.8 89.3

35 4 0.976 46 81 75 46.2 81.2 76.5

34 3 0.982 59 112 111 58.7 112 111

33 3 0.976 106 128 108 106 129 108

32 3 0.974 117 138 88 117 138 88.3

31 2 0.974 113 82 105 113 81.5 105

30 2 0.974 106 141 102 106 142 102

29 2 0.982 125 82 99 125 82.5 99.5

28 2 0.968 99 81 96 99 81 96.5

27 2 0.974 117 134 90 117 134 90

26 2 0.982 54 67 89 54 67 89.5

25 2 0.956 99 75 83 99 75 83.5

24 2 0.956 99 76 80 99 76 80.5

23 2 0.982 128 74 80 128 74.5 80

22 2 0.982 129 80 78 130 80.5 78

21 2 0.968 104 111 68 104 111 68.5

20 1 0.99 67 82 107 67 82 107

19 1 0.984 99 97 103 99 97 103

18 1 0.984 110 91 103 110 91 103

17 1 0.984 112 92 102 112 92 102

16 1 0.982 80 88 102 80 88 102

15 1 0.956 109 144 98 109 144 98

14 1 0.956 109 146 97 109 146 97

13 1 0.974 99 83 97 99 83 97

12 1 0.976 55 131 93 55 131 93

11 1 0.982 55 72 93 55 72 93

10 1 0.956 59 62 90 59 62 90

9 1 0.974 61 134 87 61 134 87

8 1 0.968 57 123 84 57 123 84

7 1 0.956 101 74 83 101 74 83

6 1 0.974 129 78 80 129 78 80

5 1 0.982 131 86 78 131 86 78

4 1 0.982 119 104 77 119 104 77

3 1 0.968 108 169 70 108 169 70

2 1 0.968 108 167 68 108 167 68

1 1 0.982 122 110 62 122 110 62