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.

The COVID-19 pandemic substantially impacted care of patients with schizophrenia treated with long-acting injectable antipsychotics (LAIs). This study examined how clinics adapted operations to maintain a standard of care for these patients after pandemic onset.

Online surveys were completed in October-November 2020 by one principal investigator (PI) or PI-appointed designee at 35 clinics participating in OASIS (NCT03919994). Items concerned pandemic impacts on clinic operations, particularly telepsychiatry, and on the care of patients with schizophrenia treated with LAIs.

All 35 clinics reported using telepsychiatry; 20 (57%) implemented telepsychiatry after pandemic onset. Telepsychiatry visits increased from 12%-15% to 45%-69% across outpatient visit types after pandemic onset; frequency of no-show and/or canceled telepsychiatry visits decreased by approximately one-third. Nearly half of clinics increased the frequency of telepsychiatry visits for patients with schizophrenia treated with LAIs. Approximately one-third of participants each reported switching patients treated with LAIs to longer injection interval LAIs or to oral antipsychotics. The most common system/clinic- and patient-related barrier for telepsychiatry visits was lower reimbursement rate and access to technology/reliable internet, respectively. Almost all participants (94%) were satisfied with telepsychiatry for maintaining care of patients with schizophrenia treated with LAIs; most predicted a hybrid of telepsychiatry and office visits post-pandemic.

Changes made by clinics after pandemic onset were viewed by almost all participants as satisfactory for maintaining a standard of care for patients with schizophrenia treated with LAIs. Most participants predicted continuing telepsychiatry to support patient care post-pandemic; equitable access to telepsychiatry will be important in this regard.

Alkermes, Inc.

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.

Performance monitoring entails rapid error detection to maintain task performance. Impaired performance monitoring is a candidate pathophysiological process in psychotic disorders, which may explain the broader deficit in executive function and its known associations with negative symptoms and poor functioning. The current study models cross-sectional pathways bridging neurophysiological measures of performance monitoring with executive function, symptoms, and functioning.

Data were from the 20-year assessment of the Suffolk County Mental Health Project. Individuals with psychotic disorders (N = 181) were originally recruited from inpatient psychiatric facilities. Data were also collected from a geographically and demographically matched group with no psychosis history (N = 242). Neural measures were the error-related negativity (ERN) and error positivity (Pe). Structural equation modeling tested mediation pathways.

Blunted ERN and Pe in the clinical cohort related to impaired executive function (r = 0.26–0.35), negative symptom severity (r = 0.17–0.25), and poor real-world functioning (r = 0.17–0.19). Associations with executive function were consistent across groups. Multiple potential pathways were identified in the clinical cohort: reduced ERN to inexpressivity was mediated by executive function (β = 0.10); reduced Pe to global functioning was mediated by executive function and avolition (β = 0.10).

This supports a transdiagnostic model of psychotic disorders by which poor performance monitoring contributes to impaired executive function, which contributes to negative symptoms and poor real-world functioning. If supported by future longitudinal research, these pathways could inform the development of targeted interventions to address cognitive and functional deficits that are central to psychotic disorders.

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.

Few studies have examined the impact of stimulant use on outcome in early psychosis. Ceasing substance use may lead to positive outcomes in psychosis.

To examine whether baseline cannabis or stimulant disorders and ongoing drug use predict readmission within 2 years of a first psychosis admission.

Predictors of readmission were examined with Cox regression in 7269 people aged 15–29 years with a first psychosis admission.

Baseline cannabis and stimulant disorders did not predict readmission. A stimulant disorder diagnosis prior to index psychosis admission predicted readmission, but a prior cannabis disorder diagnosis did not. Ongoing problem drug use predicted readmission. The lowest rate of readmission occurred in people whose baseline drug problems were discontinued.

Prior admissions with stimulant disorder may be a negative prognostic sign in first-episode psychosis. Drug use diagnoses at baseline may be a good prognostic sign if they are identified and controlled.

The aim of this analysis was to compare the effects of 2 atypical antipsychotic agents, lurasidone (80 mg/d or 160 mg/d) and quetiapine XR (600 mg/d), on daytime alertness, and to evaluate the effects of daytime sleepiness on treatment outcomes in patients with an acute exacerbation of schizophrenia.

Patients who met Diagnostic and Statistical Manual of Mental Disorders, 4th edition, text revision (DSM-IV-TR) criteria for schizophrenia were randomized to 6 weeks of double-blind treatment with fixed doses of lurasidone 80 mg/d (n = 125), lurasidone 160 mg/d (n = 121), quetiapine XR 600 mg/d (n = 119), or placebo (n = 121), all dosed once daily in the evening, with food. Daytime sleepiness was assessed using the Epworth Sleepiness Scale (ESS).

Daytime sleepiness improved in the lurasidone and placebo-treated groups but worsened in the quetiapine XR treatment group when compared to placebo (p = 0.001) and to either dose of lurasidone (both p < 0.01). Sedation associated with quetiapine XR treatment mediated an improvement in agitation [assessed by the Positive and Negative Syndrome Scale—Excitement (PANSS-EC) subscale] and a worsening in functional capacity [assessed by the University of California–San Diego (UCSD) Performance-Based Skills Assessment—Brief Version (UPSA-B) total score]; these mediating relationships were not observed for the lurasidone or placebo treatment groups.

In this 6-week double-blind study, treatment with lurasidone 80 mg or 160 mg, administered once daily in the evening, was associated with a reduction in daytime sleepiness similar in magnitude to placebo, while quetiapine XR 600 mg/d was associated with a significant increase in daytime sleepiness, compared to both lurasidone dose groups and placebo. Daytime sleepiness was associated with improvement in agitation and worsening in functional capacity for quetiapine XR, but not lurasidone or placebo-treated patients.