We are an HCP diseased connectome site.
I used PALM to compute group differences between patients and controls at
baseline. After using -cifti-find-clsters on the fwep maps obtained from
palm. I multiplied the obtained cluster map with a structural mask of of
the amygdala. The resulting ROI (combined functional and structural mask)
is then used to extract beta values on a longitudinal analysis on the
patients (with three time points: before treatment, after treatment and 3
months after treatment).

After preforming the PALM analysis and obtaining the combined ROI for each
subject I was trying to use -cifti-stats to extract the beta values for
each subject. However I am getting an error :


ERROR: roi cifti does not match input cifti along columns


Here the command I used:


wb_command -cifti-stats ${sub}/MNINonLinear/Results/task-facematching_level2
/task-facematching_hp200_s5_level2.feat/
${sub}_task-facematching_level2_beta_HAPPY_hp200_s5.dscalar.nii -reduce
MEAN -roi ${sub}-combinedmask_AMYGDALA-RIGHT_clusters-cope10.dscalar.nii
-match-maps


This error comes not only with this command but also with
-cifti-weighted-stats or -cifti-average-dense-rois


when getting the information of each file (info bellow) the only thing I
find different is in the row that says CORTEX LEFT and CORTEX RIGHT
(underlined in yellow). Is that the problem? did I do something wrong? How
do you suggest I go around this problem?


thanks a lot for the help,

Joana Loureiro


*#FILE INFORMATION
for: ${sub}_task-facematching_level2_beta_HAPPY_hp200_s5.dscalar.nii
###############################################*


Name:
k000801_task-facematching_level2_beta_HAPPY_hp200_s5.dscalar.nii

Type:                           Connectivity - Dense Scalar

Structure:                      CortexLeft CortexRight

Data Size:                      365.13 Kilobytes

Maps to Surface:                true

Maps to Volume:                 true

Maps with LabelTable:           false

Maps with Palette:              true

All Map Palettes Equal:         true

Map Interval Units:             NIFTI_UNITS_UNKNOWN

Number of Maps:                 1

Number of Rows:                 91282

Number of Columns:              1

Volume Dim[0]:                  91

Volume Dim[1]:                  109

Volume Dim[2]:                  91

Palette Type:                   Map (Unique for each map)

CIFTI Dim[0]:                   1

CIFTI Dim[1]:                   91282

ALONG_ROW map type:             SCALARS

ALONG_COLUMN map type:          BRAIN_MODELS

    Has Volume Data:            true

    Volume Dims:                91,109,91

    Volume Space:               -2,0,0,90;0,2,0,-126;0,0,2,-72

    CortexLeft:                 29696 out of 32492 vertices

    CortexRight:                29716 out of 32492 vertices

    AccumbensLeft:              135 voxels

    AccumbensRight:             140 voxels

    AmygdalaLeft:               315 voxels

    AmygdalaRight:              332 voxels

    BrainStem:                  3472 voxels

    CaudateLeft:                728 voxels

    CaudateRight:               755 voxels

    CerebellumLeft:             8709 voxels

    CerebellumRight:            9144 voxels

    DiencephalonVentralLeft:    706 voxels

    DiencephalonVentralRight:   712 voxels

    HippocampusLeft:            764 voxels

    HippocampusRight:           795 voxels

    PallidumLeft:               297 voxels

    PallidumRight:              260 voxels

    PutamenLeft:                1060 voxels

    PutamenRight:               1010 voxels

    ThalamusLeft:               1288 voxels

    ThalamusRight:              1248 voxels


Map   Minimum   Maximum     Mean   Sample Dev   % Positive   %
Negative   Inf/NaN
  Map Name

  1    -8.370     4.024   -2.272        1.339        4.848       95.152
    0   k000801_task-facematching_level2_FEARFUL-HAPPY_hp200_s5



*#FILE INFORMATION
for: 
${sub}-combinedmask_AMYGDALA_RIGHT_clusters-cope10.dscalar.nii##########################################*


Name:                           k000801-
combinedmask_AMYGDALA_RIGHT_clusters-cope10.dscalar.nii

Type:                           Connectivity - Dense Scalar

Structure:                      CortexLeft CortexRight

Data Size:                      387.42 Kilobytes

Maps to Surface:                true

Maps to Volume:                 true

Maps with LabelTable:           false

Maps with Palette:              true

All Map Palettes Equal:         true

Map Interval Units:             NIFTI_UNITS_UNKNOWN

Number of Maps:                 1

Number of Rows:                 96854

Number of Columns:              1

Volume Dim[0]:                  91

Volume Dim[1]:                  109

Volume Dim[2]:                  91

Palette Type:                   Map (Unique for each map)

CIFTI Dim[0]:                   1

CIFTI Dim[1]:                   96854

ALONG_ROW map type:             SCALARS

ALONG_COLUMN map type:          BRAIN_MODELS

    Has Volume Data:            true

    Volume Dims:                91,109,91

    Volume Space:               -2,0,0,90;0,2,0,-126;0,0,2,-72

    CortexLeft:                 32492 out of 32492 vertices

    CortexRight:                32492 out of 32492 vertices

    AccumbensLeft:              135 voxels

    AccumbensRight:             140 voxels

    AmygdalaLeft:               315 voxels

    AmygdalaRight:              332 voxels

    BrainStem:                  3472 voxels

    CaudateLeft:                728 voxels

    CaudateRight:               755 voxels

    CerebellumLeft:             8709 voxels

    CerebellumRight:            9144 voxels

    DiencephalonVentralLeft:    706 voxels

    DiencephalonVentralRight:   712 voxels

    HippocampusLeft:            764 voxels

    HippocampusRight:           795 voxels

    PallidumLeft:               297 voxels

    PallidumRight:              260 voxels

    PutamenLeft:                1060 voxels

    PutamenRight:               1010 voxels

    ThalamusLeft:               1288 voxels

    ThalamusRight:              1248 voxels


Map   Minimum   Maximum    Mean   Sample Dev   % Positive   % Negative
  Inf/NaN
  Map Name

  1     0.000     6.000   0.003        0.094        0.199        0.000
    0   sub-k000801_L_aparc

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