Dear hcp-Experts,

I tried to find if there are significant differences in the myelination in
two groups of subjects using PALM. Therefore after processing files I've
merged them using wb_command -cifti-merge

File looks like this:
wb_command -file-information output_32k_myelin.dscalar.nii
Name:                     output_32k_myelin.dscalar.nii
Type:                     Connectivity - Dense Scalar
Structure:                CortexLeft CortexRight
Data Size:                1.43 Megabytes
Maps to Surface:          true
Maps to Volume:           false
Maps with LabelTable:     false
Maps with Palette:        true
All Map Palettes Equal:   true
Map Interval Units:       NIFTI_UNITS_UNKNOWN

*Number of Maps:           6Number of Rows:           59412*
Number of Columns:        6
Volume Dim[0]:            0
Volume Dim[1]:            0
Volume Dim[2]:            0
Palette Type:             Map (Unique for each map)

*CIFTI Dim[0]:             6CIFTI Dim[1]:             59412*
ALONG_ROW map type:       SCALARS
ALONG_COLUMN map type:    BRAIN_MODELS
    Has Volume Data:      false
    CortexLeft:           29696 out of 32492 vertices
    CortexRight:          29716 out of 32492 vertices

But when i run it with palm i get following error:

Reading input 1/1: output_32k_myelin.dscalar.nii
Reading design matrix and contrasts.
error: The number of rows in the design matrix does
not match the number of observations in the data.

*- Rows in the matrix: 6- Observations in the data: 59412*

So my question is there a way to make palm see that subjects are in CIFTI
Dim[0] rather than 1. Alternatively is there any other way to assess
differences?


*wb_command. Version: 1.1.1palm. Version: alpha83*



Thank you for your answers in advance.

宜しくお願い致します。

Sincerely,
Jarek Rokicki, Ph.D.

Integrative Brain Imaging Center (IBIC)
National Center of Neurology and Psychiatry (NCNP)

*4-1-1 Ogawahigashi-chyo, Kodaira, Tokyo 187-8551 Japan*

TEL: +81-80-6628-5709

国立精神・神経医療研究センター
脳病態統合イメージングセンター(IBIC)
臨床脳画像研究部 画像情報解析研究室
*〒187-8551 東京都小平市小川東町4-1-1*

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