Social cognition is strongly associated with functional outcome in schizophrenia, making it an important target for treatment. Our goal was to examine the average magnitude of differences between ...schizophrenia patients (SCs) and normal comparison (NCs) patients across multiple domains of social cognition recognized by the recent NIMH consensus statement: theory of mind (ToM), social perception, social knowledge, attributional bias, emotion perception, and emotion processing.
We conducted a meta-analysis of peer-reviewed studies of social cognition in schizophrenia, published between 1980 and November, 2011.
112 studies reporting results from 3908 SCs and 3570 NCs met our inclusion criteria. SCs performed worse than NCs across all domains, with large effects for social perception (g = 1.04), ToM (g = 0.96), emotion perception (g = 0.89), and emotion processing (g = 0.88). Regression analyses showed that statistically significant heterogeneity in effects within domains was not explained by age, education, or gender. Greater deficits in social and emotion perception were associated with inpatient status, and greater deficits in emotion processing were associated with longer illness duration.
Despite the limitations of existing studies, including lack of standardization or psychometric validation of measures, the evidence for deficits across multiple social cognitive domains in schizophrenia is clear. Future research should examine the role of neurobiological and psychosocial factors in models linking various aspects of deficit in schizophrenia, including social cognition, in order to identify targets for intervention.
Cognitive rehabilitation therapies for Alzheimer’s disease (AD) are becoming more readily available to the geriatric population in an attempt to curb the insidious decline in cognitive and functional ...performance. However, people with AD may have difficulty adhering to these cognitive treatments due to denial of memory deficits, compromised brain systems, cognitive incapacity for self-awareness, general difficulty following through on daily tasks, lack of motivation, hopelessness, and apathy, all of which may be either due to the illness or be secondary to depression. Cognitive rehabilitation training exercises are also labor intensive and, unfortunately, serve as a repeated reminder about the memory impairments and attendant functional consequences. In order for cognitive rehabilitation methods to be effective, patients must be adequately engaged and motivated to not only begin a rehabilitation program but also to remain involved in the intervention until a therapeutic dosage can be attained. We review approaches to cognitive rehabilitation in AD, neuropsychological as well as psychological obstacles to effective treatment in this population, and methods that target adherence to treatment and may therefore be applicable to cognitive rehabilitation therapies for AD. The goal is to stimulate discussion among researchers and clinicians alike on how treatment effects may be mediated by engagement in treatment, and what can be done to enhance patient adherence for cognitive rehabilitation therapies in order to obtain greater cognitive and functional benefits from the treatment itself.
Full text
Available for:
EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Real-world functional outcomes in people with schizophrenia, rated with an array of preselected rating scales and using information from the patient and an informant and condensed into a judgment ...rating by the examiner, were globally related to performance-based assessments of ability.
Objective:Treatment of cognitive impairment has been proposed as an intervention to reduce disability in people with schizophrenia. The Validation of Everyday Real-World Outcomes (VALERO) study was conducted to evaluate functional rating scales and to identify the rating scale or scales most robustly related to performance-based measures of cognition and everyday living skills.
Method:Adults with schizophrenia (N=198) were tested with the neurocognitive measures from the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery, the UCSD Performance-Based Skills Assessment–Brief Version, and the advanced finances subscale of the Everyday Functioning Battery. They and an informant (a friend, relative, clinician, or case manager) also reported their everyday functioning on six rating scales. Best judgment ratings were generated by an interviewer who administered the rating scales to patients and informants.
Results:Statistical analyses developed an ability latent trait that reflected scores on the three performance-based (i.e., ability) measures, and canonical correlation analysis related interviewer ratings to the latent trait. The overall fit of the model with all six rating scales was good. Individual rating scales that did not improve the fit of the model were systematically deleted, and a final model with two rating scales was fitted to the data. A regression analysis found that the Specific Levels of Functioning Assessment was a superior predictor of the three performance-based ability measures.
Conclusions:Systematic assessments of real-world functioning were related to performance on neurocognitive and functional capacity measures. Of the six rating scales evaluated in this study, the Specific Levels of Functioning Assessment was the best. Use of a single rating scale provides an efficient assessment of real-world functioning that accounts for considerable variance in performance-based scores.
Lenze et al respond to comments by Drs Salmoirago-Blotcher and Cohen on their article on mindfulness training and exercise and cognitive function in older adults. The study showed that mindfulness ...training and/or exercise did not improve cognitive function in older adults with subjective cognitive concerns. The MEDEX sample's cognitive performance was below population average (when uncorrected for age) but was not in the impaired range. Examining the effects of MBSR and exercise on older people who were not cognitively impaired was the point of the study, not a limitation.
Cognitive remediation is now widely recognized as an effective treatment for cognitive deficits in schizophrenia. Its effects are meaningful, durable, and related to improvements in everyday ...functional outcomes. As with many therapies, the evolution of cognitive remediation has resulted in treatment programs that use a variety of specific techniques, yet share common core principles. This paper is the product of a cognitive remediation expert working group consensus meeting to identify core features of the treatment and produce recommendations for its design, conduct, reporting, and implementation. Four techniques were identified as core features of cognitive remediation: facilitation by a therapist, cognitive exercise, procedures to develop problem-solving strategies, and procedures to facilitate transfer to real world functioning. Treatment techniques within each of these core features are presented to facilitate decisions for clinical trials and implementation in clinical settings.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Abstract Deficits in real world social functioning are common in people with schizophrenia and the treatment of social skills deficits has been a long-time treatment strategy. However, negative ...(i.e., deficit) symptoms also appear to contribute to real-world social dysfunction. In this study, we combined data from three separate studies of people with schizophrenia (total n = 561) who were assessed with identical methods. We examined the prediction of real-world social functioning, rated by high contact clinicians, and compared the influence of negative symptoms and social skills measured with performance-based methods on these outcomes. Negative symptom severity accounted for 20% of the variance in real-world social functioning, with social skills adding an incremental 2%. This 2% variance contribution was the same when social skills were forced into a regression model prior to negative symptom severity. When we examined individual negative symptoms, prediction of real-world social functioning increased to 28%, with active and passive social avoidance entering the equation. Adding depression into the predictor model improved the prediction of real-world social functioning significantly, but minimally (4% variance). Social skills contribute to real-world social outcomes, but treating negative symptoms appears to be a possible path for improving real-world social functioning in this population.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
Objective: Self-assessment deficits, often referred to as impaired insight or unawareness of illness, are well established in people with schizophrenia. There are multiple levels of awareness, ...including awareness of symptoms, functional deficits, cognitive impairments, and the ability to monitor cognitive and functional performance in an ongoing manner. The present study aimed to evaluate the comparative predictive value of each aspect of awareness on the levels of everyday functioning in people with schizophrenia. Method: We examined multiple aspects of self-assessment of functioning in 214 people with schizophrenia. We also collected information on everyday functioning rated by high contact clinicians and examined the importance of self-assessment for the prediction of real-world functional outcomes. The relative impact of performance-based measures of cognition, functional capacity, and metacognitive performance on everyday functioning was also examined. Results: Misestimation of ability emerged as the strongest predictor of real-world functioning and exceeded the influences of cognitive performance, functional capacity performance, and performance-based assessment of metacognitive monitoring. The relative contribution of the factors other than self-assessment varied according to which domain of everyday functioning was being examined, but, in all cases, accounted for less predictive variance. Conclusion: These results underscore the functional impact of misestimating one's current functioning and relative level of ability. These findings are consistent with the use of insight-focused treatments and compensatory strategies designed to increase self-awareness in multiple functional domains.
Full text
Available for:
CEKLJ, FFLJ, NUK, ODKLJ, PEFLJ, UPUK
Objective:
This study evaluated the effects of cognitive remediation for improving cognitive performance, symptoms, and psychosocial functioning in schizophrenia.
Method:
A meta-analysis was ...conducted of 26 randomized, controlled trials of cognitive remediation in schizophrenia including 1,151 patients.
Results:
Cognitive remediation was associated with significant improvements across all three outcomes, with a medium effect size for cognitive performance (0.41), a slightly lower effect size for psychosocial functioning (0.36), and a small effect size for symptoms (0.28). The effects of cognitive remediation on psychosocial functioning were significantly stronger in studies that provided adjunctive psychiatric rehabilitation than in those that provided cognitive remediation alone.
Conclusions:
Cognitive remediation produces moderate improvements in cognitive performance and, when combined with psychiatric rehabilitation, also improves functional outcomes.
•Artificial Intelligence has great potential to advance diagnosis and treatment of patients with neurocognitive disorders•Multi-feature datasets can improve personalization and predictive ability of ...machine learning algorithms in healthcare.•Development of Explainable Artificial Intelligence is warranted to establish trust in models for clinical decision-making.•Engagement of clinicians and establishment of ethical guidelines for Artificial Intelligence use in healthcare is necessary.•Artificial Intelligence models must be developed with “human in the loop” focus to enable better clinical decision-making.
Preserving cognition and mental capacity is critical to aging with autonomy. Early detection of pathological cognitive decline facilitates the greatest impact of restorative or preventative treatments. Artificial Intelligence (AI) in healthcare is the use of computational algorithms that mimic human cognitive functions to analyze complex medical data. AI technologies like machine learning (ML) support the integration of biological, psychological, and social factors when approaching diagnosis, prognosis, and treatment of disease. This paper serves to acquaint clinicians and other stakeholders with the use, benefits, and limitations of AI for predicting, diagnosing, and classifying mild and major neurocognitive impairments, by providing a conceptual overview of this topic with emphasis on the features explored and AI techniques employed. We present studies that fell into six categories of features used for these purposes: (1) sociodemographics; (2) clinical and psychometric assessments; (3) neuroimaging and neurophysiology; (4) electronic health records and claims; (5) novel assessments (e.g., sensors for digital data); and (6) genomics/other omics. For each category we provide examples of AI approaches, including supervised and unsupervised ML, deep learning, and natural language processing. AI technology, still nascent in healthcare, has great potential to transform the way we diagnose and treat patients with neurocognitive disorders.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Highlights ► Only 11 empirical studies (and 6 unique samples) of PTSD and cognition among older adults exist. ► General cognitive performance is worse in older subjects with PTSD compared to older ...trauma-exposed and healthy samples. ► Relative learning performance is worse in older adults with PTSD vs. healthy older adults compared to older adults with PTSD vs. trauma-exposed older adults.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
PDF
