Poster Abstracts

Abstract

Facial affect recognition deficits are characteristic of psychosis spectrum disorders. Facial affect recognition has been positively associated with working memory in schizophrenia. However, it is unclear whether this relationship extends to other cognitive domains. The present study investigated the utility of subtests from the Brief Assessment of Cognition in Schizophrenia (BACS) in predicting facial affect recognition in individuals diagnosed with schizophrenia (n=107), schizoaffective disorder (n=109), and bipolar with psychosis (n=33). Facial affect recognition was assessed with the Dynamic Affect Recognition Evaluation task. Controlling for premorbid intelligence and overall BACS performance, anger recognition accuracy was significantly predicted by the Tower of London (χ2 [6]=14.74, p=.022) and Symbol Coding (χ2 [6]=14.04, p=.029) subtests. Sadness was significantly predicted by the Digit Sequencing (χ2 [6]=16.65, p=.011) and Token Motor (χ2 [6]=12.80, p=.046) subtests. The Token Motor subtest also predicted the accuracy of recognizing surprise (χ2 [6]=13.33, p=.038). Findings suggest that poor working memory, executive functioning, processing speed, and motor functioning may undermine facial affect recognition. This is broadly consistent with previous studies and may reflect shared cognitive and neural resources supporting key cognitive skills and emotion recognition.

First AuthorElmma Khalid
Second AuthorErin Taniyo Kaseda
Third AuthorScot Kristian Hill