Fig. 3: Relationship between mean cortical thickness and mean quantitative NFT burden computed within the same MTL subregion. | Nature Communications

Fig. 3: Relationship between mean cortical thickness and mean quantitative NFT burden computed within the same MTL subregion.

From: Postmortem imaging reveals patterns of medial temporal lobe vulnerability to tau pathology in Alzheimer’s disease

Fig. 3

The scatter plots illustrate the regional relationship between cortical thickness and NFT burden measured within the same subregion for each of the 14 MTL subregions. Each plot also includes the Spearman’s rank correlation calculated between mean cortical thickness and mean NFT burden within the same subregion. The two exceptions are SRLM and PP since these ROIs do not directly accumulate NFT pathology. SRLM and PP thickness are correlated with mean NFT burden in CA1 and the ERC region respectively. Significant negative associations are bolded (one-sided, uncorrected p < 0.05). The asterisk is used to indicate ROIs where the model including both age and mean NFT burden is significant. Sample sizes are provided in Supplementary Table 2. Source data are provided as a Source Data file. (S subiculum, PrS-PaS: Pre/Parasubiculum, SRLM stratum radiatum lacunosum molecular, PP perforant pathway, CA cornu ammonis, DG dentate gyrus, ERC entorhinal cortex, BA Brodmann area).

Back to article page