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. 2021 Apr 3;30:102660. doi: 10.1016/j.nicl.2021.102660

Fig. 4.

Fig. 4

Similarity between AD-Language and lvPPA, and between AD-Visuospatial and PCA. Panel A displays the voxel-wise contrasts for AD-Language, lvPPA, AD-Visuospatial and PCA vs cognitively normal controls, adjusted for age, sex, scanner and intracranial volume. Panel B displays Spearman correlations between T values within 34 ROIs from the voxel-based contrasts against cognitively normal controls for AD-Language and lvPPA (top), and AD-Visuospatial and PCA (bottom). Panel C displays binarized maps of voxels with the greatest GM volume difference with controls for each T-map according to the threshold: (Meant + 2*SDt), with the mean denoting the average within each T-map and the SD the standard deviation within that image. Panel D displays the Sørensen–Dice coefficient (DSC) for overlap between voxels with the greatest GM volume difference, which is calculated as: 2*(A ∩ B)/(A + B). 0 indicates no overlap and 1 indicates complete overlap.