Correlation of social cognition and neurocognition on psychotic outcome: a naturalistic follow-up study of subjects with attenuated psychosis syndrome

TianHong Zhang, HuiRu Cui, YingYing Tang, LiHua Xu, HuiJun Li, YanYan Wei, XiaoHua Liu, Annabelle Chow, ChunBo Li, KaiDa Jiang, ZePing Xiao, JiJun Wang, TianHong Zhang, HuiRu Cui, YingYing Tang, LiHua Xu, HuiJun Li, YanYan Wei, XiaoHua Liu, Annabelle Chow, ChunBo Li, KaiDa Jiang, ZePing Xiao, JiJun Wang

Abstract

Neurocognitive decline has been observed in patients with psychosis as well as attenuated psychosis syndrome (APS). We tested the hypothesis that APS increases dependence on neurocognition during the interpretation of others' mental states and that a combination index of Theory of Mind (ToM) and neurocognition improves the predictive accuracy of psychosis conversion. A sample of 83 APS individuals and 90 healthy controls (HC) were assessed by comprehensive cognitive tests. The cohort also completed a one-year follow-up. In the APS group, ToM was associated with an apparent increase in neurocognition, but this trend was not evident in the HC group. Using the new index of combined neurocognition and ToM scores, the sensitivity for predicting psychosis-proneness was 75% and the specificity was 69%. Our data suggest that the correlations between ToM function and neurocognition in APS subjects were stronger than those in healthy controls. A composite index of neurocognition and ToM could improve the predictive validity of a future conversion to psychosis.

Figures

Figure 1. Correlations between FP and RMET…
Figure 1. Correlations between FP and RMET performance and MCCB scores in APS (solid line) and HC (dashed line) subjects.
Figure 2. Receiver operating characteristic curves (ROC)…
Figure 2. Receiver operating characteristic curves (ROC) of the combined FP-ViL index, compared to individual cognitive domain for predicting psychosis.
Figure 3. Sensitivity and specificity values of…
Figure 3. Sensitivity and specificity values of the combined FP-ViL index for predicting psychosis.

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