Wavelet-based morphometry

 
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- There are 487941 non-zero coefficients in the mask image (spatial domain).
- There are 11039 non-zero wavelet coefficients in the resulting filtered mean image,
  which were selected by the Minimum Description Length (MDL) Method.
- These coefficients are able to recover an energy percentage equal to 99.0128%.
Using the contrasts -> -1  1  0  0
                and -> 1 -1  0  0
- The higher p-value considered as significant by the FDR algorithm  is -> 0.0049898.
- From the 556 significant coefficients there are 288 positives and 268 negatives.
- The percentage of significant coefficients is -> 5.0367%.
 
--- significant results ---
1: contrast1_corr_0.05_explained_effect_size.nii -> is the image containing significant positive differences (G1>G2), or positive correlation, at p-value = 0.05.
2: contrast2_corr_0.05_explained_effect_size.nii -> is the image containing significant negative differences (G2>G1), or negative correlation, at p-value = 0.05.
--- additional images -----
3: mean_filtered.nii                    -> is the filtered between-group mean image in the spatial domain.
4: mean_residual.nii                    -> is the residual part of the between-group mean image, obtained by the inverse transform
                                           of the wavelet coefficients that were not selected in the MDL data reduction algorithm.
 
*suggested thresholds to view the image (lower=0.67179, upper=2.0154)
*only are depicted regions where the observed changes in the gray matter tissues are higher in absolute value than 0.67179