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Inaccurate self-assessment of performance is common among people with serious mental illness, and it is associated with poor functional outcomes independent from ability. However, the temporal interdependencies between judgments of performance, confidence in accuracy, and feedback about performance are not well understood.
We evaluated two tasks: the Wisconsin Card Sorting Test (WCST) and the Penn Emotion recognition task (ER40). These tasks were modified to include item-by-item confidence and accuracy judgments, along with feedback on accuracy. We evaluated these tasks as time series and applied network modeling to understand the temporal relationships between momentary confidence, accuracy judgments, and feedback. The sample constituted participants with schizophrenia (SZ; N = 144), bipolar disorder (BD; N = 140), and healthy controls (HC; N = 39).
Network models for both WCST and ER40 revealed denser and lagged connections between confidence and accuracy judgments in SZ and, to a lesser extent in BD, that were not evidenced in HC. However, associations between feedback regarding accuracy with subsequent accuracy judgments and confidence were weaker in SZ and BD. In each of these comparisons, the BD group was intermediate between HC and SZ. In analyses of the WCST, wherein incorporating feedback is crucial for success, higher confidence predicted worse subsequent performance in SZ but not in HC or BD.
While network models are exploratory, the results suggest some potential mechanisms by which challenges in self-assessment may impede performance, perhaps through hyperfocus on self-generated judgments at the expense of incorporation of feedback.
Cognitive tasks delivered during ecological momentary assessment (EMA) may elucidate the short-term dynamics and contextual influences on cognition and judgements of performance. This paper provides initial validation of a smartphone task of facial emotion recognition in serious mental illness.
A total of 86 participants with psychotic disorders (non-affective and affective psychosis), aged 19–65, were administered in-lab ‘gold standard’ affect recognition, neurocognition, and symptom assessments. They subsequently completed 10 days of the mobile facial emotion recognition task, assessing both accuracy and self-assessed performance, along with concurrent EMA of psychotic symptoms and mood. Validation focused on task adherence and predictors of adherence, gold standard convergent validity, and symptom and diagnostic group variation.
The mean rate of adherence to the task was 79%; no demographic or clinical variables predicted adherence. Convergent validity was observed with in-lab measures of facial emotion recognition, and no practice effects were observed on the mobile facial emotion recognition task. EMA reports of more severe voices, sadness, and paranoia were associated with worse performance, whereas mood more strongly associated with self-assessed performance.
The mobile facial emotion recognition task was tolerated and demonstrated convergent validity with in-lab measures of the same construct. Social cognitive performance, and biased judgements previously shown to predict function, can be evaluated in real-time in naturalistic environments.
Autism spectrum disorder (ASD) and schizophrenia (SCZ) are separate neurodevelopmental disorders that are both characterized by difficulties in social cognition and social functioning. Due to methodological confounds, the degree of similarity in social cognitive impairments across these two disorders is currently unknown. This study therefore conducted a comprehensive comparison of social cognitive ability in ASD and SCZ to aid efforts to develop optimized treatment programs.
In total, 101 individuals with ASD, 92 individuals with SCZ or schizoaffective disorder, and 101 typically developing (TD) controls, all with measured intelligence in the normal range and a mean age of 25.47 years, completed a large battery of psychometrically validated social cognitive assessments spanning the domains of emotion recognition, social perception, mental state attribution, and attributional style.
Both ASD and SCZ performed worse than TD controls, and very few differences were evident between the two clinical groups, with effect sizes (Cohen's d) ranging from 0.01 to 0.34. For those effects that did reach statistical significance, such as greater hostility in the SCZ group, controlling for symptom severity rendered them non-significant, suggesting that clinical distinctions may underlie these social cognitive differences. Additionally, the strength of the relationship between neurocognitive and social cognitive performance was of similar, moderate size for ASD and SCZ.
Findings largely suggest comparable levels of social cognitive impairment in ASD and SCZ, which may support the use of existing social cognitive interventions across disorders. However, future work is needed to determine whether the mechanisms underlying these shared impairments are also similar or if these common behavioral profiles may emerge via different pathways.
The investigations of social cognition can be roughly categorized into five domains including theory of mind (ToM), social perception, social knowledge, attributional style, and emotional processing. The majority of work on attributional style in schizophrenia has focused on the two biases most commonly seen in individuals with paranoid or persecutory delusions. The relationship between social cognition and neurocognition has been of interest to many in the research community with the primary debate focusing on the independence of the two constructs. In an effort to address this possibility and to clarify the nature of the relationship between these constructs in schizophrenia, researchers have utilized four primary strategies: direct examination of the correlations between social cognition and neurocognition, factor analytical techniques, paradigms designed to test for generalized versus specific impairments, and examinations of the contributions of social cognition and neurocognition to functional outcome.
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