Table 2.

Semantic appraisal network connections as predictors of key disease factors.

Disease factor	Connection
	Left hemisphere		Right hemisphere
	OFC to TP	OFC to MTG to TP	OFC to OFC
Pathogenic protein	Corr (df 32) = 0.55 p < 0.001	Corr (df 32) = 0.37 p = 0.001	Corr (df 31) = 0.53 p < 0.001
Semantic function	Corr (df 32) = 0.45 p = 0.0038	Corr (df 32) = 0.39 p = 0.011	Corr (df 31) = 0.46 p = 0.0038
Social disinhibition	Corr (df 32) = 0.67 p < 0.001	Corr (df 32) = 0.10 p = 0.28	Corr (df 31) = 0.37 p = 0.018

This table summarises the results of leave-one-out cross validation using individual connections within the semantic appraisal network that reached the significance criterion (posterior probability > 95%) (see also Supplementary Figure 1 and Supplementary Figure 2).

Bold indicates the highest out-of-sample correlation for the connection(s) of interest between the three disease factors. Each cell specifies the Pearson’ s correlation coefficient between the observed values and the predicted values for each ‘left-out’ subject.

MTG middle temporal gyrus, OFC orbitofrontal cortex, TP temporal pole.