Online Social Cognition Training in Schizophrenia: A Double-Blind, Randomized, Controlled Multi-Site Clinical Trial

Efficacy and safety of iclepertin (BI 425809) with adjunctive computerized cognitive training in patients with schizophrenia

Despite significant patient burden, there are no approved pharmacotherapies to treat symptoms of cognitive impairment associated with schizophrenia (CIAS). This double-blind, placebo-controlled, parallel-group Phase II trial assessed the efficacy and safety of pharmacological augmentation of at-home computerized cognitive training (CCT) with iclepertin (BI 425809, a glycine transporter-1 inhibitor). Participants with schizophrenia (aged 18-50 years) on stable antipsychotic therapy, who were compliant with CCT during the run-in period, were enrolled. Patients were randomized (1:1) to once daily iclepertin 10 mg or placebo for 12 weeks, and all patients completed adjunctive CCT. At Week 12, the change from baseline in neurocognitive composite T-score of the MATRICS Consensus Cognitive Battery (primary endpoint), Schizophrenia Cognition Rating Scale interviewer total score, and Positive and Negative Syndrome Scale total score (secondary endpoints) were assessed. Performance was also assessed using Virtual Reality Functional Capacity Assessment Tool adjusted total time T-score. Of 200 randomized patients, 154 (77.0 %) completed the trial. At efficacy endpoint assessment, no differences were observed between treatment groups. Adverse events (AEs) were reported by 39 patients in the iclepertin 10 mg + CCT group and 57 patients in the placebo + CCT group; most AEs were mild to moderate. To our knowledge, this trial is the largest of its kind combining daily pharmacotherapy for CIAS with at-home CCT. Although efficacy was not demonstrated, the safety profile of iclepertin 10 mg was consistent with previous studies and no new risks were identified.

Clinical trial registration

ClinicalTrials.gov identifier: NCT03859973.

Psychosocial Interventions in the Rehabilitation and the Management of Psychosis and Schizophrenia: A Systematic Review on Digitally-Delivered Interventions

BACKGROUND

Schizophrenia and psychotic disorders are disabling, complex and severe psychiatric conditions, which may pose a significant therapeutic challenge. Integrating current psychopharmacological treatment with psychosocial interventions demonstrated a higher efficacy in terms of prognosis. However, most schizophrenia or psychotic patients may have restricted or no access to evidence-based psychosocial interventions, mainly due to poor dissemination of specialized interventions or stigma. Therefore, we aim to systematically review all studies about the current evidence on the feasibility, acceptability, efficacy, effectiveness, and benefits of digitally-delivered psychoeducational and psychosocial interventions for individuals suffering from schizophrenia or psychotic disorders.

METHODS

A systematic literature review was conducted of the literature from 2000 to 2024 according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, by using PubMed-MEDLINE, Scopus and OVID databases and combining the search approach using both free text terms and Medical Subject Headings (MESH) headings for the topics "psychoeducation", "psychosocial intervention" and "psychosis" and "schizophrenia".

RESULTS

Out of a total of 3042 reviewed papers, 69 studies were included here. The interventions included web-based family and individual psychoeducation, integrated web-based therapy, social networking, peer and expert moderation, virtual reality-assisted and mobile-based psychosocial interventions. Results showed that digitally-delivered interventions have a positive effect in ensuring the continuity and maintenance of the effectiveness of psychosocial treatments, by providing personalized, flexible, and evidence-based interventions to patients with psychosis and/or schizophrenia. At the same time, the studies included demonstrated the acceptability and feasibility of this kind of intervention in clinical practice.

CONCLUSIONS

Digital interventions have the potential to deliver non-stigmatizing, constantly available psychosocial and psychoeducational interventions in psychosis and schizophrenia by increasing access to mental health care and not costly interventions. However, further randomized controlled trials (RCTs) and observational studies should compare and evaluate the effectiveness and feasibility of web-based vs. face-to-face psychosocial interventions amongst schizophrenia and psychosis individuals.

Migration of digital functional capacity assessments from device resident to cloud-based delivery: Development and convergent validity

Decentralized clinical trials are leading to rapid changes in assessment technology, including an expansion of interest in remote delivery. As technology changes, some of the updates include migration to fully cloud-based software and data management, with attendant differences in hardware, response modalities, and modifications in the level of tester engagement. It is rare to see systematic descriptions of the process of migration and upgrading of technology-related assessments. We present comparative data on successive generations of two widely used functional capacity measures, the Virtual Reality Functional Capacity Assessment Tool (VRFCAT) and the Functional Capacity Assessment and Training System (FUNSAT). Four samples of healthy older individuals completed either the original device-resident, computer-administered versions, or cloud-based, tablet-delivered versions of these tasks. For the VRFCAT, performance and correlations with age were similar across versions, although performance was slightly (5 %) faster with iPad delivery. For the FUNSAT, performance and correlations with age and cognitive task scores were generally similar across versions for English Speakers, though there were some differences related to the testing language for the cloud-based version. These results support the feasibility of migrating digital assessments to cloud-based delivery and substantiate fundamental similarity across delivery strategies.

Interpersonal synchronization: An overlooked factor in development, social cognition, and psychopathology

Intact social functioning relies on a combination of explicit and implicit behavioral, attentional, and interpersonal processes referred to as "social cognition". Characterizing these interpersonal processes forms a critical underpinning to understanding and treating psychopathology, particularly in disorders where deficits in social functioning do not emerge as a secondary symptom but rather as an essential feature of the disorder. Two of such disorders are autism spectrum disorders (ASD) and schizophrenia spectrum disorders (SZ). However, despite the substantial overlap in the features of social dysfunction between ASD and SZ, including social cognitive deficits in theory of mind, perspective-taking, and empathy, there is a limited understanding of the mechanisms underlying those shared deficits, and how to treat them. We suggest that disruptions of interpersonal functioning emerge over the course of development, and that interpersonal synchronization, a phenomenon in which behavioral and physiological cues align between interacting partners, forms a critical component of social cognition that underlies the disruption in social functioning in ASD and SZ. We present a conceptual review of typical and atypical development of social processes and highlight the role of interpersonal synchronization across the course of development. Then, we review the existing evidence suggesting impairments in both the intentional and spontaneous synchronization of interpersonal processes in ASD and SZ, as well as studies suggesting that interpersonal synchronization and clinical symptoms may be improved through body-oriented interventions within these disorders. Finally, we suggest potential mechanisms that may underpin typical and atypical development of interpersonal synchronization.

Social cognition interventions for patients with first-episode psychosis: A scoping review

This scoping review seeks to identify existing evidence of social cognition interventions for patients with first-episode psychosis. This review followed the five steps of Arksey and O'Malley's scoping review framework. Studies published between October 2002 and June 2023 were examined in the following six databases: PsycArticles, PsycINFO, CINAHL, EMBASE, Medline, and Scopus. We also searched grey literature and references of included studies. Studies reporting on social cognition interventions for adults with first-episode psychosis were included. Review findings were synthesised employing the PAGER framework. The PRISMA Extension for Scoping Reviews guideline was followed to prepare and report this manuscript. Twelve articles were included in this review. Most of the social cognition interventions were provided in out-patient clinics. Four studies provided board-based social cognition interventions, while the remaining eight studies introduced interventions to targeted domains of social cognition. All studies reported an improvement in patients' social functioning and social skills after receiving the intervention. Barriers and facilitators for patients with first-episode psychosis in receiving social cognition intervention were also summarised. Future studies could be conducted to explore the long-term effects of social cognition interventions, particularly for in-patient setting and the domain of social perception.

Clinical subtypes of schizophrenia based on the discrepancies between objective performance on social cognition tasks and subjective difficulties in social cognition

Intervention for social cognition could be key to improving social functioning in patients with schizophrenia. A first step towards its clinical implementation involves interviewing patients about their subjective difficulties with social cognition as they experience them in the real world. The present study focused on the clinical subtypes classified by the discrepancies between the subjective difficulties in social cognition and actual cognitive impairment. A total of 131 outpatients with schizophrenia and 68 healthy controls were included. Objective measurement of social cognition was performed using a test battery covering four representative domains, and subjective difficulties were determined by a questionnaire covering the same domains. A two-step cluster analysis explored the potential classification of social cognition in patients with schizophrenia. There was little correlation between the objective performance on social cognition tasks and subjective difficulties in social cognition. The analysis yielded three clusters: the low-impact group (low objective impairment and low subjective difficulties), the unaware group (high objective impairment but low subjective difficulties), and the perceptive group (moderate objective impairment and high subjective difficulties). Positive, negative, and general symptoms were more severe in the two groups that showed impaired performance on the social cognition tasks (i.e., the unaware and perceptive groups) than those in the low-impact group. Neurocognition and functional capacity were the lowest in the unaware group, and social functioning was the lowest in the perceptive group. Awareness about the clinical subtypes of social cognition could serve as a guidepost for providing individualized, targeted interventions.

Linking social motivation, general motivation, and social cognition to interpersonal functioning in schizophrenia: insights from exploratory graph analysis

Motivation in general, and social motivation in particular are important for interpersonal functioning in individuals with schizophrenia. Still, their roles after accounting for social cognition, are not well understood. The sample consisted of 147 patients with schizophrenia. General motivation was measured using the Behavioral inhibition/activation scale (BIS/BAS). Social motivation was measured by Passive social withdrawal and Active social avoidance items from PANSS. Interpersonal functioning was evaluated with Birchwood's Social Functioning Scale (SFS). We used Exploratory Graph Analysis for network estimation and community detection. Active social avoidance, passive social withdrawal, and social withdrawal/engagement (from SFS) were the most important nodes. In addition, three distinct communities were identified: Social cognition, Social motivation, and Interpersonal functioning. Notably, the BIS and BAS measures of general motivation were not part of any community. BAS showed stronger links to functioning than BIS. Passive social withdrawal was more strongly linked to interpersonal functioning than social cognitive abilities. Results suggest that social motivation, especially social approach, is more closely related to interpersonal functioning in schizophrenia than general motivation. In contrast, we found that general motivation was largely unrelated to social motivation. This pattern highlights the importance of type of motivation for understanding variability in interpersonal difficulties in schizophrenia.

Personalized Cognitive Health in Psychiatry: Current State and the Promise of Computational Methods

BACKGROUND

Decades of research have firmly established that cognitive health and cognitive treatment services are a key need for people living with psychosis. However, many current clinical programs do not address this need, despite the essential role that an individual's cognitive and social cognitive capacities play in determining their real-world functioning. Preliminary practice-based research in the Early Psychosis Intervention Network early psychosis intervention network shows that it is possible to develop and implement tools that delineate an individuals' cognitive health profile and that help engage the client and the clinician in shared decision-making and treatment planning that includes cognitive treatments. These findings signify a promising shift toward personalized cognitive health.

STUDY DESIGN

Extending upon this early progress, we review the concept of interindividual variability in cognitive domains/processes in psychosis as the basis for offering personalized treatment plans. We present evidence from studies that have used traditional neuropsychological measures as well as findings from emerging computational studies that leverage trial-by-trial behavior data to illuminate the different latent strategies that individuals employ.

STUDY RESULT

We posit that these computational techniques, when combined with traditional cognitive assessments, can enrich our understanding of individual differences in treatment needs, which in turn can guide evermore personalized interventions.

CONCLUSION

As we find clinically relevant ways to decompose maladaptive behaviors into separate latent cognitive elements captured by model parameters, the ultimate goal is to develop and implement approaches that empower clients and their clinical providers to leverage individual's existing learning capacities to improve their cognitive health and well-being.

Is game-based therapy effective for treating cognitive deficits in adults with schizophrenia? Evidence from a randomized controlled trial

Cognitive deficits in schizophrenia are a major contributor to poor functional outcomes and everyday functioning, making them a promising therapeutic target. Recent years have witnessed a dramatic increase in the use of digital interventions, such as game-based therapy, targeting various domains of cognition to treat mental disorders. Game-based digital interventions have been suggested to have therapeutic value in health care for people with schizophrenia. To support this idea, a novel, online training program (Komori Life) that targets cognitive deficits in schizophrenia was tested for feasibility of use and initial efficiency. Inpatients with schizophrenia were randomized to complete 20 sessions of either Komori Life (N = 40 completers) or treatment as usual (N = 40 completers). Cognitive and clinical assessments were performed at enrollment and after completion of the training intervention for all patients. In addition, 32 healthy volunteers were recruited as controls, and an eye-tracking paradigm was employed to assess attentional biases to emotional information before and after game intervention for all subjects. The results showed that there were no group differences in cognitive or clinical assessments at baseline between the two patient groups. After game training, there were still no group × time interactions on cognitive or clinical assessment scores. Regarding eye movement measurements, both patient groups showed increased attention to threatening stimuli compared to healthy controls in terms of attentional maintenance at baseline. After game training, the game training group revealed greater improvement in attentional bias towards threatening scenes (decreased percentage of total duration and percentage of total fixations towards threatening stimuli) relative to the treatment as usual group. Moreover, our results partially indicated that training effectiveness was associated with cognitive improvement and that heightened attentional maintenance to threats was associated with worse cognitive performance. This study provides initial evidence that a remote, online cognitive training program is feasible and effective in improving cognitive function in schizophrenia. This form of training may serve as a complementary therapy to existing psychiatric care. Clinical trial registration: the trial is registered at http://www.chictr.org.cn , identifier ChiCTR2100048403.

The Social and Cognitive Online Training (SCOT) project: A digital randomized controlled trial to promote socio-cognitive well-being in older adults

OBJECTIVES

Effective prevention programs targeting risk factors for cognitive decline in the elderly are recommended given the progressive increase in the aging of the general population. The Social and Cognitive Online Training (SCOT) project is a randomized, controlled, parallel clinical trial designed to prevent the age-related decline in executive and social functions.

METHODS

The study included 60 cognitively healthy older adults (age = 71.8±5.3, education = 12.3±3.7, MoCA = 25.1±2.4). Participants underwent a baseline clinical and neuropsychological assessment and were then assigned to either an experimental group (SCOT) or a non-specific cognitive training group (CON). Both 8-week digital interventions included two individual cognitive training sessions and one group meeting per week. Post-intervention assessment evaluated the efficacy of the training on specific outcome measures: the Tower of London for executive functioning, the Ekman-60 Faces test, and the Mini-Social cognition & Emotional Assessment battery for social cognition. A measure of loneliness was included as an exploratory outcome.

RESULTS

Baseline demographic and neuropsychological characteristics were balanced between SCOT (n = 29) and CON (n = 28) groups. Pre-post-intervention analyses showed improvements in executive functioning and social cognition in both groups, without significant interaction effects. Exploratory post-hoc analyses stratifying the SCOT group by training performance showed significant post-training improvements in executive functioning, emotion recognition, and cognitive theory of mind for high-performing participants.

DISCUSSION

Results provide preliminary evidence for the beneficial effects of SCOT training, particularly for those who performed best during the training. The SCOT training could represent a new intervention to promote socio-cognitive well-being in the context of active ageing and dementia prevention.

Functional phenotypes in schizophrenia spectrum disorders: defining the constructs and identifying biopsychosocial correlates using data-driven methods

Functional impairments contribute to poor quality of life in schizophrenia spectrum disorders (SSD). We sought to (Objective I) define the main functional phenotypes in SSD, then (Objective II) identify key biopsychosocial correlates, emphasizing interpretable data-driven methods. Objective I was tested on independent samples: Dataset I (N = 282) and Dataset II (N = 317), with SSD participants who underwent assessment of multiple functioning areas. Participants were clustered based on functioning. Objective II was evaluated in Dataset I by identifying key features for classifying functional phenotype clusters from among 65 sociodemographic, psychological, clinical, cognitive, and brain volume measures. Findings were replicated across latent discriminant analyses (LDA) and one-vs.-rest binomial regularized regressions to identify key predictors. We identified three clusters of participants in each dataset, demonstrating replicable functional phenotypes: Cluster 1-poor functioning across domains; Cluster 2-impaired Role Functioning, but partially preserved Independent and Social Functioning; Cluster 3-good functioning across domains. Key correlates were Avolition, anhedonia, left hippocampal volume, and measures of emotional intelligence and subjective social experience. Avolition appeared more closely tied to role functioning, and anhedonia to independent and social functioning. Thus, we found three replicable functional phenotypes with evidence that recovery may not be uniform across domains. Avolition and anhedonia were both critical but played different roles for different functional domains. It may be important to identify critical functional areas for individual patients and target interventions accordingly.

A Systematic Review and Meta-Analysis of Social Cognition Among People Living with HIV: Implications for Non-Social Cognition and Social Everyday Functioning

Social cognition-the complex mental ability to perceive social stimuli and negotiate the social environment-has emerged as an important cognitive ability needed for social functioning, everyday functioning, and quality of life. Deficits in social cognition have been well documented in those with severe mental illness including schizophrenia and depression, those along the autism spectrum, and those with other brain disorders where such deficits profoundly impact everyday life. Moreover, subtle deficits in social cognition have been observed in other clinical populations, especially those that may have compromised non-social cognition (i.e., fluid intelligence such as memory). Among people living with HIV (PLHIV), 44% experience cognitive impairment; likewise, social cognitive deficits in theory of mind, prosody, empathy, and emotional face recognition/perception are gradually being recognized. This systematic review and meta-analysis aim to summarize the current knowledge of social cognitive ability among PLHIV, identified by 14 studies focused on social cognition among PLHIV, and provides an objective consensus of the findings. In general, the literature suggests that PLHIV may be at-risk of developing subtle social cognitive deficits that may impact their everyday social functioning and quality of life. The causes of such social cognitive deficits remain unclear, but perhaps develop due to (1) HIV-related sequelae that are damaging the same neurological systems in which social cognition and non-social cognition are processed; (2) stress related to coping with HIV disease itself that overwhelms one's social cognitive resources; or (3) may have been present pre-morbidly, possibly contributing to an HIV infection. From this, a theoretical framework is proposed highlighting the relationships between social cognition, non-social cognition, and social everyday functioning.

Improvements in performance based measures of functional capacity and cognition after computerized functional skills training in older people with mild cognitive impairment and healthy comparators

With no pharmacological treatments for Mild Cognitive impairment (MCI), computerized training strategies have been attempted. A computerized skills training intervention, FUNSAT, previously produced training-related gains in cognition in MCI and in comparators with normal cognition (NC). A new remotely delivered version of FUNSAT was administered to a new sample of participants with NC and MCI. Outcomes measures included cognition (BAC) and functional capacity (VRFCAT) to examine training transfer. Participants with MCI (n = 92) and NC (n = 72) trained for up to 12 weeks on FUNSAT. Half the MCI participants started with 3 weeks of computerized cognitive training (CCT). Baseline, post-training, and 30-day follow-up scores on cognition and functional capacity were compared. Participants improved on both cognition (d = 0.80) and functional capacity (d = 0.64), with no differences in training gains across MCI and NC, although treatment with CCT in MCI was associated with similar gains with fewer FUNSAT training sessions. This is the first treatment study in MCI to demonstrate transfer to untrained measures of functional capacity. NC improved in cognition and functional capacity with skills training alone. These findings have implications for other conditions, such as schizophrenia, where functional capacity is a treatment target.

Utilizing Technology to Enhance the Ecological Validity of Cognitive and Functional Assessments in Schizophrenia: An Overview of the State-of-the-Art

Cognitive impairment is a core feature of schizophrenia and a key determinant of functional outcome. Although conventional paper-and-pencil based cognitive assessments used in schizophrenia remained relatively static during most of the 20th century, this century has witnessed the emergence of innovative digital technologies that aim to enhance the ecological validity of performance-based assessments. This narrative review provides an overview of new technologies that show promise for enhancing the ecological validity of cognitive and functional assessments. We focus on 2 approaches that are particularly relevant for schizophrenia research: (1) digital functional capacity tasks, which use simulations to measure performance of important daily life activities (e.g., virtual shopping tasks), delivered both in-person and remotely, and (2) remote device-based assessments, which include self-administered cognitive tasks (e.g., processing speed test) or functionally-focused surveys regarding momentary activities and experiences (e.g., location, social context), as well as passive sensor-based metrics (e.g., actigraphy measures of activity), during daily life. For each approach, we describe the potential for enhancing ecological validity, provide examples of select measures that have been used in schizophrenia research, summarize available data on their feasibility and validity, and consider remaining challenges. Rapidly growing evidence indicates that digital technologies have the potential to enhance the ecological validity of cognitive and functional outcome assessments, and thereby advance research into the causes of, and treatments for, functional disability in schizophrenia.

Harnessing neuroplasticity

Twenty years ago, cognitive impairments were recognized as an unmet treatment need in schizophrenia. Basic science discoveries in neuroplasticity had led to cognitive training approaches for dyslexia. We wondered whether a similar approach could target working memory deficits in schizophrenia by harnessing plasticity in the auditory cortex. Our per protocol experimental therapeutics studies tested the hypothesis that sharpening auditory cortical representations would result in better verbal learning and memory. We also later studied the effects of intensive training of basic social cognitive operations. Our training protocols were deliberately focused, effortful and intensive, since participants were often up against decades of cortical dysplasticity. In studies in different stages of illness, we demonstrated that neuroscience-informed cognitive training was associated with: (1) proximal psychophysical as well as distal cognitive improvements; (2) increases in serum BDNF levels; (3) negative effects of serum anticholinergic burden; (4) electrophysiologic responses and brain activation patterns consistent with restorative neuroplastic changes in cortex; (5) positive cortical and thalamic volumetric changes suggestive of neuroprotection; (6) better 6-month clinical functioning in those with a positive initial response. Taken together, this work indicates how much the field of psychiatry could benefit from a deep understanding of the basic science of cortical neuroplasticity processes and of how they can be deliberately and efficiently harnessed for therapeutic purposes.

Efficacy of Remotely Delivered Evidence-Based Psychosocial Treatments for Schizophrenia-Spectrum Disorders: A Series of Systematic Reviews and Meta-Analyses

BACKGROUND

Schizophrenia is among the most persistent and debilitating mental health conditions worldwide. The American Psychological Association (APA) has identified 10 psychosocial treatments with evidence for treating schizophrenia and these treatments are typically provided in person. However, in-person services can be challenging to access for people living in remote geographic locations. Remote treatment delivery is an important option to increase access to services; however, it is unclear whether evidence-based treatments for schizophrenia are similarly effective when delivered remotely.

STUDY DESIGN

The current study consists of a series of systematic reviews and meta-analyses examining the evidence-base for remote-delivery of each of the 10 APA evidence-based treatments for schizophrenia.

RESULTS

Of the 10 treatments examined, only cognitive remediation (CR), cognitive-behavioral therapy (CBT), and family psychoeducation had more than 2 studies examining their efficacy for remote delivery. Remote delivery of CBT produced moderate effects on symptoms (g = 0.43) and small effects on functioning (g = 0.26). Remote delivery of CR produced small-moderate effects on neurocognition (g = 0.35) and small effects on functioning (g = 0.21). There were insufficient studies of family psychoeducation with equivalent outcome measures to assess quantitatively, however, studies of remotely delivered family psychoeducation suggested that it is feasible, acceptable, and potentially effective.

CONCLUSIONS

Overall, the evidence-base for remotely delivered treatment for schizophrenia is limited. Studies to date suggest that remote adaptations may be effective; however, more rigorous trials are needed to assess efficacy and methods of remote delivery that are most effective.

Mediation Effects of Social Cognition on the Relationship between Neurocognition and Social Functioning in Major Depressive Disorder and Schizophrenia Spectrum Disorders

BACKGROUND

In schizophrenia spectrum disorders (SSD), social cognition mediates the relationship between neurocognition and social functioning. Although people with major depressive disorder (MDD) also exhibit cognitive impairments, which are often prolonged, little is known about the role of social cognition in MDD.

METHODS

Using data obtained through an internet survey, 210 patients with SSD or MDD were selected using propensity score matching based on their demographics and illness duration. Social cognition, neurocognition, and social functioning were evaluated using the Self-Assessment of Social Cognition Impairments, Perceived Deficits Questionnaire, and Social Functioning Scale, respectively. The mediation effects of social cognition on the relationship between neurocognition and social functioning were examined in each group. Invariances of the mediation model across the two groups were then analyzed.

RESULTS

The SSD and MDD groups had mean ages of 44.49 and 45.35 years, contained 42.0% and 42.8% women, and had mean illness durations of 10.76 and 10.45 years, respectively. In both groups, social cognition had significant mediation effects. Configural, measurement, and structural invariances across the groups were established.

CONCLUSION

The role of social cognition in patients with MDD was similar to that in SSD. Social cognition could be a common endophenotype for various psychiatric disorders.

Dynamic Interactive Social Cognition Training in Virtual Reality (DiSCoVR) versus Virtual Reality Relaxation (VRelax) for People With a Psychotic Disorder: A Single-Blind Multicenter Randomized Controlled Trial

BACKGROUND AND HYPOTHESIS

Social cognition training (SCT), an intervention for social cognition and social functioning, might be improved by using virtual reality (VR), because VR may offer better opportunities to practice in a potentially more realistic environment. To date, no controlled studies have investigated VR-SCT. This study investigated a VR-SCT, "DiSCoVR". We hypothesized that DiSCoVR would improve social cognition and social functioning.

STUDY DESIGN

Participants were randomized to DiSCoVR (n = 41) or VR relaxation ('VRelax', n = 40), an active control condition, and completed 16 twice-weekly sessions. Three assessments (baseline, posttreatment, and 3-month follow-up) were performed by blinded assessors. The primary outcome was social cognition (emotion perception and theory of mind). Secondary outcomes included social functioning (measured with an interview and experience sampling), psychiatric symptoms, information processing, and self-esteem. Data were analyzed using mixed-models regression analysis. Treatment effects were evaluated by the time by condition interaction terms.

STUDY RESULTS

No significant time by condition interactions were found for any of the outcome variables, indicating an absence of treatment effects. Between-group effect sizes ranged from negligible to moderate (Cohen's d < |0.53|). Main effects of time were found for several outcomes.

CONCLUSIONS

These results suggest that DiSCoVR was not effective, possibly because of inadequate simulation of emotional expressions in VR. This lack of efficacy may indicate that current SCT protocols are relatively unsuitable for improving social functioning. Previous studies showed small to moderate effects on higher order social cognition, but the SCT approach may need critical reevaluation, as it may not sufficiently lead to functional improvement.

Use of Technologies in the Therapy of Social Cognition Deficits in Neurological and Mental Diseases: A Systematic Review

Objective: This article systematically reviews the effects of technology-based (TB) treatments on impaired social cognition (SC) in neurological and mental disorders. Methods: Strictly adhering to the PRISMA guidelines, a systematic search was carried out in PsycINFO, PubMed, and Web of Science (last search: April 22, 2021) to identify studies that, implementing a control group design, evaluated TB treatments targeting deficits in emotion recognition, Theory of Mind (ToM) and social behavior in adult patients with nondevelopmental and nonprogressive neurological or mental disorders. Risk of bias was assessed using the PEDro Scale, certainty assessment followed the GRADE approach. Results: Sixteen studies involving 857 patients, all focusing on psychotic disorders, were retrieved. The most pronounced effects were observed concerning emotion recognition with all studies revealing overall improvements. Regarding ToM and social behavior, results were mixed. However, the number of studies including outcome measures for these domains, is significantly lower compared to the domain of emotion recognition, limiting the validity of the results. Risk of bias and certainty assessment revealed further limitations of evidence. Conclusion: TB treatment achieves positive effects especially with regard to emotion recognition impairments, at least for patients with schizophrenia. Future research should expand the evaluation of TB training of other SC domains, ought to be carried out in more diverse patient populations, rely on different devices, and include follow-up measurements.

Associations between theory of mind and clinical symptoms in recent onset schizophrenia spectrum disorders

INTRODUCTION

People with schizophrenia often present with Theory of mind (ToM) deficits, and the link between these deficits and clinical symptoms remains to be refined, for instance through the use of more recent assessment methods. The objective of this study was to examine the associations between a psychometrically sound ToM task and the clinical symptoms of schizophrenia as measured with the five dimensions of the Positive and Negative Syndrome Scale (PANSS) namely positive, negative, cognitive/disorganization, depression/anxiety and excitability/hostility, while controlling for non-social cognitive abilities.

METHODS

Seventy participants with recent-onset schizophrenia spectrum disorders (SSD) were assessed for ToM using the Combined stories task (COST) and for clinical symptoms using the PANSS.

RESULTS

The results revealed significant correlations between ToM and the positive (r = -0.292, p = 0.015) and cognitive/disorganization (r = -0.480, p < 0.001) dimensions when controlling for non-social cognitive abilities. In contrast, the negative symptoms dimension was only significantly correlated with ToM when non-social cognitive abilities were not controlled for (r = -0.278, p = 0.020).

DISCUSSION

Very few prior studies used the five-dimensions of the PANSS to examine the link with ToM and this study is the first to rely on the COST, which includes a non-social control condition. This study highlights the importance of taking non-social cognitive abilities into account when considering the relationship between ToM and symptoms.

Psychosis spectrum illnesses as disorders of prefrontal critical period plasticity

Emerging research on neuroplasticity processes in psychosis spectrum illnesses-from the synaptic to the macrocircuit levels-fill key gaps in our models of pathophysiology and open up important treatment considerations. In this selective narrative review, we focus on three themes, emphasizing alterations in spike-timing dependent and Hebbian plasticity that occur during adolescence, the critical period for prefrontal system development: (1) Experience-dependent dysplasticity in psychosis emerges from activity decorrelation within neuronal ensembles. (2) Plasticity processes operate bidirectionally: deleterious environmental and experiential inputs shape microcircuits. (3) Dysregulated plasticity processes interact across levels of scale and time and include compensatory mechanisms that have pathogenic importance. We present evidence that-given the centrality of progressive dysplastic changes, especially in prefrontal cortex-pharmacologic or neuromodulatory interventions will need to be supplemented by corrective learning experiences for the brain if we are to help people living with these illnesses to fully thrive.

A Pilot Study Examining Feasibility and Initial Efficacy of Remotely Delivered Cognitive Adaptation Training

Cognitive Adaptation Training (CAT) is an evidence-based treatment that uses environmental supports including signs, text messages, checklists, smart pill containers, and the organization of belongings to bypass cognitive and motivational impairments and to cue adaptive behavior in the home or work environment. We developed and tested a remote version of CAT to make the treatment available more broadly. Because CAT is focused on working with the individual in their home environment to establish supports, CAT may not be as easy to translate into an effective virtual treatment as talk-therapies. Fifty-six members of managed care were assigned to or given their treatment preference for CAT or Remote CAT (R-CAT) for 6 months. In-person or virtual pill counts were conducted monthly and assessments of habit-formation, symptoms, functioning, and satisfaction were administered every 2 months by independent raters. Analyses using mixed models with repeated measures focused on pre-planned evaluations of within-group change. Adherence improved significantly in R-CAT, functioning improved significantly in CAT and both groups improved significantly on measures of habit-formation and symptoms across 6 months. Higher functioning individuals appeared to choose R-CAT. Satisfaction with treatment was very high in both groups. R-CAT appears to be a potentially effective treatment, particularly for medication follow-though. However, in contrast to decades of previous research, fewer than 20% of eligible Medicaid recipients agreed to participate in the study. This may have been due to recruitment during and immediately post-pandemic.

Qualitative Analysis of the Content Validity of the Virtual Reality Functional Capacity Assessment Tool (VRFCAT) in Schizophrenia: A Multi-Stakeholder Perspective

The US Food and Drug Agency (FDA) requires clinical trials targeting cognitive impairment associated with schizophrenia (CIAS) to demonstrate the functional relevance of cognitive improvements by employing a functional co-primary measure. Although quantitative evidence supports the suitability of the Virtual Reality Functional Capacity Assessment Tool (VRFCAT) for this purpose, FDA guidelines for qualification of clinical outcome assessments require evidence of content validity, defined as qualitative evidence that key stakeholders view the measure as relevant and important. To collect this important qualitative data, semi-structured interviews were conducted with outpatients with schizophrenia (n = 24), caregivers (n = 12), and professional peer support specialists (n = 12) to elicit their views about the definition and importance of functional independence, the importance of the functional domains assessed by the VRFCAT (meal planning, using transportation, handling money, shopping), and the relevance of the VRFCAT tasks to these domains. Qualitative thematic analyses revealed consistent themes across groups in defining functional independence, including performing instrumental self-care, financial, and social tasks; making decisions autonomously; and not depending on others to carry out daily activities. There were, however, notable differences in their views regarding the importance of and barriers to functional independence. All groups viewed the VRFCAT as assessing skill domains that are central to independent functioning and, with some minor differences, the VRFCAT tasks were viewed as relevant and meaningful examples of the domains. These qualitative results provide converging evidence that key stakeholders view the VRFCAT as a content-valid measure.

The Preventing Alzheimer's with Cognitive Training (PACT) randomized clinical trial

BACKGROUND

To address the rising prevalence of Alzheimer's disease and related dementias, effective interventions that can be widely disseminated are warranted. The Preventing Alzheimer's with Cognitive Training study (PACT) investigates a commercially available computerized cognitive training program targeting improved Useful Field of View Training (UFOVT) performance. The primary goal is to test the effectiveness of UFOVT to reduce incidence of clinically defined mild cognitive impairment (MCI) or dementia with a secondary objective to examine if effects are moderated by plasma β-amyloid level or apolipoprotein E e4 (APOE e4) allele status.

METHODS/DESIGN

This multisite study utilizes a randomized, controlled experimental design with blinded assessors and investigators. Individuals who are 65 years of age and older are recruited from the community. Eligible participants who demonstrate intact cognitive status (Montreal Cognitive Assessment score > 25) are randomized and asked to complete 45 sessions of either a commercially available computerized-cognitive training program (UFOVT) or computerized games across 2.5 years. After three years, participants are screened for cognitive decline. For those demonstrating decline or who are part of a random subsample, a comprehensive neuropsychological assessment is completed. Those who perform below a pre-specified level are asked to complete a clinical evaluation, including an MRI, to ascertain clinical diagnosis of normal cognition, MCI, or dementia. Participants are asked to provide blood samples for analyses of Alzheimer's disease related biomarkers.

DISCUSSION

The PACT study addresses the rapidly increasing prevalence of dementia. Computerized cognitive training may provide a non-pharmaceutical option for reducing incidence of MCI or dementia to improve public health.

REGISTRATION

The PACT study is registered at http://Clinicaltrials.govNCT03848312.

Technology and Mental Health: State of the Art for Assessment and Treatment

Technology is ubiquitous in society and is now being extensively used in mental health applications. Both assessment and treatment strategies are being developed and deployed at a rapid pace. The authors review the current domains of technology utilization, describe standards for quality evaluation, and forecast future developments. This review examines technology-based assessments of cognition, emotion, functional capacity and everyday functioning, virtual reality approaches to assessment and treatment, ecological momentary assessment, passive measurement strategies including geolocation, movement, and physiological parameters, and technology-based cognitive and functional skills training. There are many technology-based approaches that are evidence based and are supported through the results of systematic reviews and meta-analyses. Other strategies are less well supported by high-quality evidence at present, but there are evaluation standards that are well articulated at this time. There are some clear challenges in selection of applications for specific conditions, but in several areas, including cognitive training, randomized clinical trials are available to support these interventions. Some of these technology-based interventions have been approved by the U.S. Food and Drug administration, which has clear standards for which types of applications, and which claims about them, need to be reviewed by the agency and which are exempt.

Social cognition training improves recognition of distinct facial emotions and decreases misattribution errors in healthy individuals

Facial emotion recognition is a key component of social cognition. Impaired facial emotion recognition is tied to poor psychological wellbeing and deficient social functioning. While previous research has demonstrated the potential for social cognition training to improve overall facial emotion recognition, questions remain regarding what aspects of emotion recognition improve. We report results from a randomized controlled trial that evaluates whether computerized social cognition training can improve recognition of distinct facial emotions in healthy participants. This investigation was designed to better understand the therapeutic potential of social cognition training for individuals with neuropsychiatric disorders. Fifty-five healthy adult participants were randomly assigned to an internet-based intervention during which they either completed social cognition training (SCT) or played control computer games (CON) for 10.5 h over 2-3 weeks. Facial emotion recognition was measured with the Penn ER-40, which was conducted before and after training. The following variables were collected and analyzed: facial emotion recognition accuracy for each emotion (i.e., anger, fear, happy, neutral (no emotional expression), and sad), reaction times for each emotion, and response error types (i.e., frequency of an emotion being chosen incorrectly, frequency of an emotion being missed, and frequency of an emotion being confused for another particular emotion). ANOVAs and t-tests were used to elucidate intervention effects both within and between groups. Results showed that the SCT group improved their accuracy for angry and neutral faces. They also improved their reaction times for neutral, fearful, and sad faces. Compared to the CON group, the SCT group had significantly faster reaction times to neutral faces after training. Lastly, the SCT group decreased their tendency to confuse angry faces for no emotional expression and to confuse no emotional expression for sad faces. In contrast, the CON group did not significantly improve their accuracy or reaction times on any emotional expression, and they did not improve their response error types. We conclude that social cognition training can improve recognition of distinct emotions in healthy participants and decrease response error patterns, suggesting it has the potential to improve impaired emotion recognition and social functioning in individuals with facial emotion recognition deficits.

Randomized Controlled Trials of Digital Mental Health Interventions on Patients with Schizophrenia Spectrum Disorder: A Systematic Review

Background: This systematic review aimed to examine the study protocol of Digital Mental Health Interventions (DMHIs) and to review the effect of DMHIs among patients with Schizophrenia Spectrum Disorder (SSD). Methods: This review followed the guideline of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). A systematic literature search was performed using PubMed, CINAHL, Embase, and PsycINFO electronic databases to identify randomized clinical trials without any limit on the publication year. Overall, 18 studies were selected and evaluated for the quality assessment utilizing the Risk of Bias 2 tool of Cochranes' Collaboration. In the quality assessment, four studies evaluated as overall high risk of bias were excluded from the selection, and the final 14 studies were chosen. Results: No DMHIs were provided for acute schizophrenia-related symptoms, and there were some studies related to schizophrenia-related symptoms (26.4%). Some studies for improving cognitive function (42.9%) were reported, and there was a significant effect when interventions that were proven to be effective when implemented in a face-to-face manner were delivered using various online devices and sensory stimuli. Nearly half of the studies reported intervention frequency and time (57.1%), and those with unclear reports relied either on a mobile app or telemedicine and were designed to self-pace the frequency and speed of the intervention. Conclusion: Based on our findings, it will be possible to understand the characteristics of DMHIs, without physical contact, for only SSD patients, providing a basis for digital mental health services.

Measuring functional outcomes in schizophrenia in an increasingly digital world

With an unmet clinical need for effective interventions for cognitive and negative symptoms in patients with schizophrenia, measures of functional status (often a co-primary endpoint) remain key clinical trial outcomes. This review aims to give an overview of the different types of functional assessments commonly used in clinical trials and research involving patients with schizophrenia and highlight pertinent challenges surrounding the use of these as reliable, sensitive, and specific assessments in intervention trials. We provide examples of commonly used functional measures and highlight emerging real-time digital assessment tools. Informant- and clinician-rated functional outcome measures and functional capacity assessments are valid, commonly used measures of functional status that try to overcome the need for often overly ambitious and insensitive ‘real world’ milestones. The wide range of scientific and practical challenges associated with these different tools leave room for the development of improved functional outcome measures for use in clinical trials. In particular, many existing measures fail to capture small, but meaningful, functional changes that may occur over the course of typically short intervention trials. Adding passive digital data collection and short active real-time digital assessments whilst patients go about their day offers the opportunity to build a more fine-grained picture of functional improvements that, if thoughtfully developed and carefully applied, could provide the sensitivity needed to accurately evaluate functional status in intervention studies, aiding the development of desperately needed treatments.

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Functional outcome measures are important for evaluating the efficacy of treatments.

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A variety of these are available, each with their own strengths and limitations.

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However, consensus on the optimal functional outcome measure(s) is lacking.

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Digital measures may enhance the assessment of associated functional constructs.

Video Games as a Complementary Therapy for Schizophrenia: A Systematic Review

BACKGROUND

Schizophrenia is a prevalent and serious disorder. Video games have shown potential as an aid in health care for people who suffer from schizophrenia. Although video games may contribute benefit in the treatment of schizophrenia, reviews on this topic are scarce. In this article, we systematically review the evidence concerning video game-based therapeutic interventions for people diagnosed with schizophrenia.

METHODS

This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The review protocol was registered in the PROSPERO database. We searched 4 databases-PubMed, Web of Science, EMBASE, and clinicaltrials.gov-to identify original studies exploring video game-based therapeutic interventions for people with schizophrenia.

RESULTS

After initial screening, full-text review, and study selection, 11 articles were included in the review. Most studies used video consoles as the platform, with a minority using a personal computer. Video game-based therapeutic interventions were well accepted and generally effective in improving cognitive areas.

CONCLUSIONS

Cognitive training could be one of the main mechanisms underlying the usefulness and effectiveness of video game-based therapeutic interventions. Software optimization and greater collaboration between developers and health care professionals are some of the priorities for future research in this area.

Voices 2: Improving Prosodic Recognition in Schizophrenia With an Online Rehabilitation Program

Introduction: Emotion recognition of voices may play an important role in interpersonal communication and patients with schizophrenia present alterations in this regard. Several on-line rehabilitation tools have been developed for treatment in this area. Voices is an on-line prosodic recognition program consisting of identifying different emotional tones in neutral phrases, in different sessions of gradually increasing difficulty. This training tool has previously reported benefits, and a new version has been created called Voices 2. The main aim of this study is to test the capacity of the Voices 2 program to improve emotion recognition through prosody for adults with schizophrenia. Secondly, it seeks to observe durability effects 1 month after intervention.

Method: A randomized, single-blind, multicenter clinical trial was conducted with 44 outpatients diagnosed with schizophrenia or schizoaffective disorder. The intervention group (also called Voices) was treated with Voices 2, whereas the control group was treated with auditory training that was not related to emotions. Sociodemographic and clinical data, clinical state (PANSS), Intelligence Quotient and prosodic recognition (RMV-SV) were measured at baseline. After intervention, RMV-SV and PANSS were assessed. One month later, the RMV-SV measure was repeated.

Results: The control group (n = 19) and the Voices group (n = 22) did not differ on χ², t or U tests in sociodemographic, clinical and psychometric variables at baseline or post-intervention (all p-values > 0.05). In the Voices group, statistically significant differences were observed in the RMV-SV scale applied post-intervention vs. that applied pre-intervention (Z = 2.47, p = 0.013). Similar results were observed in the 1-month follow-up RMV-SV vs. the pre-intervention RMV-SV (Z = 1.97, p = 0.049). PANSS scale was also assessed with no significant differences between pre vs. post measures in both groups. Lastly, Voices 2 was rated relatively higher, based on its ease of understanding, entertainment value, usefulness and the appropriateness of use of its emotional glossary.

Discussion: Improvements were observed in prosodic recognition following intervention with Voices 2 in the Voices group. Although these results are similar to other clinical trial rehabilitation programs, specific research on the matter remains scarce. Certain aspects, such as the durability of effects or adherence should be thoroughly studied and clarified.

Clinical Trial Registration: [https://doi.org/10.17605/OSF.IO/G95C4].

Theory of mind and facial emotion recognition in adults with temporal lobe epilepsy: A meta-analysis

BACKGROUND

Mounting studies have investigated impairments in social cognitive domains (including theory of mind [ToM] and facial emotion recognition [FER] in adult patients with temporal lobe epilepsy (TLE). However, to date, inconsistent findings remain.

METHODS

A search of PubMed, Web of Science, and Embase databases was conducted until December 2021. Hedges g effect sizes were computed with a random-effects model. Meta-regressions were used to assess the potential confounding factors of between-study variability in effect sizes.

RESULTS

The meta-analysis included 41 studies, with a combined sample of 1,749 adult patients with TLE and 1,324 healthy controls (HCs). Relative to HCs, adult patients with TLE showed large impairments in ToM (g = -0.92) and cognitive ToM (g = -0.92), followed by medium impairments in affective ToM (g = -0.79) and FER (g = -0.77). Besides, no (statistically) significant differences were observed between the magnitude of social cognition impairment in adult with TLE who underwent and those who did not undergo epilepsy surgery. Meta-regressions exhibited that greater severity of executive functioning was associated with more severe ToM defects, and older age was associated with more severe FER defects.

CONCLUSIONS

Results of this meta-analysis suggest that adult patients with TLE show differential impairments in the core aspects of social cognitive domains (including ToM and FER), which may help in planning individualized treatment with appropriate cognitive and behavioral interventions.

Social Cognition Individualized Activities Lab for Social Cognition Training and Narrative Enhancement in Patients With Schizophrenia: A Randomized Controlled Study to Assess Efficacy and Generalization to Real-Life Functioning (Prot. n°: NCT05130853)

Subjects affected by schizophrenia present significant deficits in various aspects of social cognition, such as emotion processing, social perception and theory of mind (ToM). These deficits have a greater impact than symptoms on occupational and social functioning. Therefore, social cognition represents an important therapeutic target in people with schizophrenia. Recent meta-analyses showed that social cognition training (SCT) is effective in improving social cognition in subjects with schizophrenia; however, real-life functioning is not always ameliorated. Integration of SCT with an intervention targeting metacognitive abilities might improve the integration of social cognitive skills to daily life functioning. Our research group has implemented a new individualized rehabilitation program: the Social Cognition Individualized Activities Lab, SoCIAL, which integrates SCT with a module for narrative enhancement, an intervention targeting metacognitive abilities. The present multi-center randomized controlled study will compare the efficacy of SoCIAL and treatment as usual (TAU) in subjects diagnosed with a schizophrenia-spectrum disorder. The primary outcome will be the improvement of social cognition and real-life functioning; while the secondary outcome will be the improvement of symptoms, functional capacity and neurocognition. The results of this study will add empirical evidence to the benefits and feasibility of SCT and narrative enhancement in people with schizophrenia-spectrum disorders.

Persons with first episode psychosis have distinct profiles of social cognition and metacognition

Subjects with first-episode psychosis experience substantial deficits in social cognition and metacognition. Although previous studies have investigated the role of profiles of individuals in social cognition and metacognition in chronic schizophrenia, profiling subjects with first-episode psychosis in both domains remains to be investigated. We used latent profile analysis to derive profiles of the abilities in 174 persons with first-episode psychosis using the Beck's Cognitive Insight Scale, the Faces Test, the Hinting Task, the Internal, Personal and Situational Attributions Questionnaire, and the Beads Task. Participants received a clinical assessment and a neuropsychological assessment. The best-fitting model was selected according to the Bayesian information criterion (BIC). We assessed the importance of the variables via a classification tree (CART). We derived three clusters with distinct profiles. The first profile (33.3%) comprised individuals with low social cognition. The second profile (60.9%) comprised individuals that had more proneness to present jumping to conclusions. The third profile (5.7%) presented a heterogeneous profile of metacognitive deficits. Persons with lower social cognition presented worse clinical and neuropsychological features than cluster 2 and cluster 3. Cluster 3 presented significantly worst functioning. Our results suggest that individuals with FEP present distinct profiles that concur with specific clinical, neuropsychological, and functional challenges. Each subgroup may benefit from different interventions.

The relationship between cognition and functioning in schizophrenia: A semi-systematic review

In schizophrenia, impairments in neurocognition (NC) and social cognition (SC) are associated with reduced functional capacity (FC) and poor real-world functioning (RWF).

In this semi-systematic review, we examined this association across a range of research questions.

We conducted a systematic search in Embase and MEDLINE from 2005 to 2019, and conducted additional pragmatic searches. After screening of titles, abstracts and full-texts, we included 564 citations, of which 44 (26 primary studies, 15 systematic reviews and 3 narrative reviews) were prioritized for reporting.

Both NC and SC were significantly associated with functioning, with slightly stronger association for SC. Effect sizes were generally larger for FC than for RWF. NC showed stronger associations with occupational functioning and independent living, and SC with social functioning. Baseline cognition predicted long-term RWF up to 20 years of follow-up, though long-term data were limited for SC. Cognitive remediation improved RWF functioning, especially when it was combined with psychosocial rehabilitation.

SC mediated the relationship of NC with functioning. Negative symptoms appeared to mediate and moderate the association of cognition with functioning. Other factors involved included severity of cognitive dysfunction, metacognition, depression and choice of RWF instrument.

We discuss potential implications for studies of pharmacological cognitive interventions in schizophrenia – the relevance of both NC and SC, the advantage of adjunctive psychosocial rehabilitation, the role of relevant moderating and mediating variables, and the challenges with RWF instrument selection. Successful cognitive interventions could allow patients with schizophrenia to improve their potential for community functioning.

Improving social functioning in people with schizophrenia-spectrum disorders via mobile experimental interventions: Results from the CLIMB pilot trial

Background

Patients with Schizophrenia Spectrum Disorders (SSD) demonstrate poor social functioning. While group-based approaches show long-term improvements, access to treatments is limited. Digital platforms hold promise to overcome barriers to treatment delivery and improve outcomes.

Objective

In a parallel arm, double-blind RCT, we tested CLIMB, a clinician-assisted, adjunct to treatment that includes computerized social cognition training (SCT), ecological momentary assessments (EMAs), group tele-therapy, and moderated messaging. CLIMB was compared to an active control that includes computerized general cognitive training (GCT), unstructured support groups, and unmoderated messaging.

Methods

The primary outcome was social functioning. Secondary outcomes were negative symptoms and quality of life (QoL). Given the sample size, Propensity Score Models were used to ensure balanced baseline covariates. Mixed-effects models examined change over time.

Results

24 participants completed the study (12 per arm). No significant between-group differences emerged in engagement. CLIMB participants engaged in a median of 8 sessions (IQR = 2), 2.8 h of SCT (IQR = 7.5), and 2710 EMAs; control participants engaged in a median of 9 sessions (IQR = 3) and 2.2 h of GCT (IQR = 7.9). As a group, participants showed significant improvements in social functioning (p = .046), with no between-group differences. Intent-to-treat analyses indicated greater improvements in QoL (p = .025) for the active control.

Conclusions

Delivering group-based mobile interventions to individuals with SSD is feasible. EMAs allow clinicians to maintain inter-session engagement, build participant self-awareness, and tailor treatment delivery. In this treatment model, whether SCT or GCT is more effective remains unclear. Further research will evaluate group-based mobile interventions to improve outcomes in SSD.

Lifetime employment in schizophrenia: correlates of developing long term unemployment after being employed before

BACKGROUND

Challenges in employment are highly prevalent among people with schizophrenia regardless of their employment history. Although supportive employment can be effective, few participants sustain meaningful competitive employment. Our goal was to identify the correlates of developing sustained unemployment.

METHODS

We examined employment outcomes by comparing clinical, neurocognitive, and social cognitive features in 234 participants with Schizophrenia Spectrum Disorders across t competitive employment outcomes: currently employed, participants who had never worked for a year, and those who had been employed but developed long-term unemployment. We examined social cognition and neurocognition, as well as positive and negative schizophrenia symptoms, and premorbid functioning and demographic factors.

RESULTS

We found significant differences in age, race, premorbid functioning, cognitive performance, and social cognition between currently and formerly employed patients. When individual tasks were examined, emotion recognition and verbal working memory performance were the domains differentiating the groups. Older African Americans were over-represented in the formerly employed group.

CONCLUSIONS

There were minimal differences other than age and race between formerly employed patients and those who had never worked. These data suggest the possibility that deterioration in employment outcomes may also co-occur with declines in other abilities. Opportunities and disparities may also be a contributor to re-entering the work force.

Cognitive Empathy and Longitudinal Changes in Temporo-Parietal Junction Thickness in Schizophrenia

Objective: Deficits in cognitive empathy are well-documented in individuals with schizophrenia and are related to reduced community functioning. The temporoparietal junction (TPJ) is closely linked to cognitive empathy. We compared the relationship between baseline cognitive empathy and changes in TPJ thickness over 24 months between individuals with schizophrenia and healthy controls. Methods: Individuals with schizophrenia (n = 29) and healthy controls (n = 26) completed a cognitive empathy task and underwent structural neuroimaging at baseline and approximately 24 months later. Symmetrized percent change scores were calculated for right and left TPJ, as well as whole-brain volume, and compared between groups. Task accuracy was examined as a predictor of percent change in TPJ thickness and whole-brain volume in each group. Results: Individuals with schizophrenia demonstrated poorer accuracy on the cognitive empathy task (p < 0.001) and thinner TPJ cortex relative to controls at both time points (p = 0.01). In schizophrenia, greater task accuracy was uniquely related to less thinning of the TPJ over time (p = 0.02); task accuracy did not explain changes in left TPJ or whole-brain volume. Among controls, task accuracy did not explain changes in right or left TPJ, or whole-brain volume. Conclusions: Our findings suggest that greater cognitive empathy may explain sustained integrity of the right TPJ in individuals with schizophrenia, suggesting a contributory substrate for the long-term maintenance of this process in psychosis. Cognitive empathy was not related to changes in whole-brain volume, demonstrating the unique role of the TPJ in cognitive empathy.

Major Neuropsychological Impairments in Schizophrenia Patients: Clinical Implications

PURPOSE OF REVIEW

Schizophrenia is a complex severe mental illness with high morbidity and mortality. It is characterized by positive symptoms, negative symptoms, and cognitive impairment. Cognitive impairment is strongly associated with functional impairment and presents a major barrier to recovery. This article reviews some of the most recent research on cognition in schizophrenia and the clinical implications.

RECENT FINDINGS

There have been recent studies related to the genomics of cognition and neural structures involved in cognition. We review recent investigations into the assessment of social cognition and the implications of impaired introspective accuracy. A recent network analysis assessed the relationship of neurocognition and social cognition to functional capacity. We further discuss the role of specific symptoms in functioning, including negative symptoms and symptoms related to autism spectrum disorder. We conclude with a discussion of a novel computerized treatment for social cognition. Recent research has sought to better understand several dimensions of cognition including genomics, brain structure, social cognition, functional capacity, and symptomatology. This recent research brings us closer to understanding the complex clinical picture of schizophrenia and the best treatments to achieve recovery.