Fig. 3: Surface-based transcriptomic decoding of the serotonergic 1A receptor (5-HT1AR). | Nature Communications

Fig. 3: Surface-based transcriptomic decoding of the serotonergic 1A receptor (5-HT1AR).

From: Transcriptomic decoding of surface-based imaging phenotypes and its application to pharmacotranscriptomics

Fig. 3

a Spatial correlations between the average receptor density (Bmax) of the 5-HT1AR based on the high-resolution in vivo Positron Emission Tomography (PET) atlas of the human serotonergic system provided by ref. 15 (upper panel) and the predicted mRNA expression profile of the HTR1A gene (lower panel). b False positive rate (FPR) of the α-null (blue), Linear Mixed Effects (LME, red), and General Least Squares (GLS, yellow) decoding techniques across different adjusted p-value thresholds (padj). For LME- and GLS-decoding, p-values were adjusted for multiple comparisons using False Discovery Rate (FDR) adjustments. For α-null decoding, adjusted permutation p-values (pperm,adj) were used. c Spearman rank correlations between the gene weights across approaches. Gene weights were determined by the slope of the regression line (i.e., beta) for the LME- and GLS-decoding approach, and by the spatial Pearson correlation between receptor density and gene expression maps for the α-null decoding approach. ** p-value < 0.001 (two-tailed). d Intersection of gene sets with a significant transcriptomic association with the target pattern across various decoding methods. Gene set intersections and total set sizes are shown at an adjusted p-value threshold of 0.05 (left panel), 0.01 (middle panel), and 0.001 (right panel).

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