Explore the vast range of titles available.

IntroductionOur series of studies in the spectrum of psychosis (schizophrenia, bipolar affective disorder, schizoaffective disorder) is based on the concept of the RDoC system.ObjectivesIn this study, we were interested in knowing whether cross-diagnostic disturbances in cognitive functions can be found in the spectrum and whether they predict clinical symptoms.MethodsIn the study, N = 66 schizophrenic (M = 38.2 ± 9.37 years, 26 women), N = 30 bipolar (M = 47.4 ± 9.35 years, 19 women), N = 33 schizoaffective (M = 39.8 years± 11.3 years, 21 women) and N = 28 healthy subjects (M = 36.5 ± 9.9 years, 14 women) participated. All subjects underwent the Wisconsin Card Sorting Test (WCST), Raven Test, Digit Span Test, Visual Patterns Test, Letter and Semantic Fluency tests, Metaphor and Irony Comprehension, Directed Forgetting, Stop Signal Test, and Lexical Decision Task. In addition, symptom rating scales were administered (PANSS, SANS, YMRS, MADRS).ResultsBased on our results, the performance of the WCST-deficient group lagged behind the WCST-non-deficient group and the healthy control group in most executive control tests. Importantly, this effect was independent of diagnosis, so it appeared in all three patient groups. Members of the deficit group had a higher rate of negative symptoms.ConclusionsDisruption of executive functions is a transdiagnostic feature of the schizophrenia-bipolar spectrum, which could be associated with any diagnosis.DisclosureNo significant relationships.

IntroductionPsychopathological symptoms and cognitive impairment are core features of patients with psychotic disorders. Executive dysfunctions are within the most commonly observed deficits and the Wisconsin Card Sorting Test (WCST) is the test most extensively used for their assessment. Yet, the structure of executive deficits remains unclear, as there may be different underlying processes.ObjectivesThe study’s aims were to explore and compare the network structure of the WCST measures in psychosis and their unaffected siblings.MethodsSubjects were 298 patients with a DSM 5 diagnosis of psychotic disorder and 89 of their healthy siblings. The dimensionality and network structure of the 13 WCST measures were examined by means of the Exploratory Graph Analysis (EGA) and centrality parameters.ResultsThe WCST network structure comprised 4 dimensions: Perseveration (PER), Inefficient sorting (IS), Failure to maintain set (FMS) and Learning (LNG). Patient and sibling groups showed a similar network structure and in both cases the network structure was reliably estimated.ConclusionsPerseveration measures reflect the inability to switch sorting rules when necessary. Scores for the IS dimension can occur when the subject ineffectively tries to test different sorting hypotheses, changing at random the response. FMS reflects the subject’s strategy when he/she is able to find out the sorting rule, but is unable to keep applying that rule long enough. LNG comprised conceptual ability and learning items. The lack of significant difference between network structures is in keeping with results from exploratory and confirmatory studies demonstrating an invariant cognitive factor structure between schizophrenia patients and their unaffected siblings.

IntroductionCognitive impairment is a core feature of schizophrenia and other psychotic disorders and executive deficits are within the most impaired cognitive functions The Wisconsin Card Sorting test (WCST) has been extensively used in literature on schizophrenia and psychosis. The underlying structure of executive impairment may have important implications for our understanding of the complex connections between executive dysfunction and the psychopathology and neurofunctional basis of psychosis.ObjectivesThe objective was to empirically validate the dimensions of the WCST network structure of patients regarding antecedent, concurrent and outcome variables.MethodsSubjects were 298 patients with a DSM 5 diagnosis of psychotic disorder. To assess the empirical validation of network structure of the WCST antecedent, concurrent and outcome variables were selected from the CASH interview and other scales of patients.ResultsPearson coefficient correlations between the 4 network loadings (NL) of WCST, namely perseveration, inefficient sorting, failure to maintain the set and learning, and antecedent, concurrent and outcome validators are shown in the table. PER and IS showed common and strong associations with antecedent, concurrent and outcome validators. LNG dimension was also moderately associated and FMS did not show significant associations.Conclusions‘Perseveration’ and ‘Inefficient sorting’ dimensions achieve and share common antecedent, concurrent and outcome validators. While ‘Learning’ dimension achieves partial validation in terms of antecedent and outcome validators and ‘Failure to maintain the set’ dimension was not associated with external validators. These four underlying dysfunctions might help to disentangle the neurofunctional basis of executive deficits in psychosis.

The Wisconsin Card Sorting Test (WCST) is a popular neuropsychological test that is complicated to score and interpret. In an attempt to make scoring of the WCST simpler, Berry (The Clinical Neuropsychologist 10, 117–121, 1996 ) developed a diagrammatic scoring procedure, particularly to aid scoring of perseverative responses. We identified key limitations of Berry’s diagram, including its unnecessary ambiguity and complexity, use of terminology different from that used in the standardized WCST manual, and lack of distinction between perseverative errors and perseverative responses. Our new diagrammatic scoring procedure scores each response one-by-one; we strongly suggest that the diagram is used in conjunction with the 1993 WCST manual. Our new diagrammatic scoring procedure aims to assist novice users in learning how to accurately score the task, prevent scoring errors when using the manual version of the task, and help scorers verify whether other existing computerized versions of the task (apart from the PAR version) conform to the Heaton et al. ( 1993 ) scoring method. Our diagrammatic scoring procedure holds promise to be incorporated into any future versions of the WCST manual.

Background Many cancer survivors experience cancer-related cognitive impairment (CRCI), often with significant negative consequences across various life domains. Emerging evidence suggests that allowing additional time to process information before acting may be a useful strategy for those with CRCI to mitigate some of its impacts. The Wisconsin Card Sorting Task (WCST), a measure of general cognition, has shown that for some cancer survivors, longer task completion time facilitates similar task performance outcomes to control populations concerning perseveration errors; a key performance metric of the WCST. However, assessing if this strategy may be useful, as well as determining for whom it may be useful, with regard to strengths and weaknesses among select cognitive domains, is challenging due to factors such as the problem of task impurity. Accordingly, this study provides an initial computational and experimental assessment of whether additional time to process information before acting is a useful strategy for those with CRCI. Methods We simulated individual cognitive differences observed in humans by varying contributions of executive functioning components (updating, shifting, inhibition) to yield 48 distinct computational models of the WCST. Our main manipulation was then to provide these models with more or less time (at three levels of 20, 40 and 60 cycles) before models executed an action to sort a given card. We compared the number of perseveration errors on the WCST produced by the computational models. Additionally, we determined models that simulated the performance of cancer survivors on the WCST by comparing the number of perseveration errors produced by the models to human data. Results Additional processing time resulted in the models producing significantly fewer perseveration errors, supporting our hypothesis. In addition, 8 unique models simulated the performance of cancer survivors on the WCST. Additional time appeared to have a positive influence on performance primarily by mitigating the impacts of severe inhibition impairments. For more severe global executive function impairments, a substantial amount of additional time was required to mitigate the impacts of the impairments. For the most severe impairments, additional time was unable to adequately mitigate the impact on performance. Conclusion Additional processing time may be a useful strategy to rectify perseveration errors among cancer survivors with CRCI. Our findings have implications for the development of practical strategies, such as workload and deadline management in occupational settings, which may mitigate the negative effects of CRCI.

Reasoning is a fundamental cognitive process that allows individuals to make inferences, decisions, and solve problems. Understanding the neural mechanisms of reasoning and the gender differences in these mechanisms is crucial for comprehending the neural foundations of reasoning and promoting gender equality in cognitive processing. This study conducted an Activation Likelihood Estimation (ALE) meta-analysis of 275 studies, revealing that reasoning involves multiple brain regions, including the parts of frontal, parietal, occipital, temporal lobes, limbic system, and subcortical areas. These findings indicate that reasoning is a complex cognitive process requiring the coordinated activity of multiple brain regions. Additionally, 25 studies focusing on the Wisconsin Card Sorting Test (WCST) paradigm confirmed the importance of these regions in reasoning processes. The gender-specific activation results indicate that males and females utilize different neural networks during reasoning and WCST tasks. While significant differences exist in specific regions, the overall activation patterns do not show marked gender differences. Notably, females exhibit greater activation in the limbic system compared to males, suggesting that emotional states may play a more prominent role for females when engaging in reasoning tasks.

Objective: To assess apathy in patients with Parkinson’s disease and its relation to disability, mood, personality, and cognition. Methods: Levels of apathy in 45 patients with Parkinson’s disease were compared with a group of 17 similarly disabled patients with osteoarthritis. Additional neuropsychiatric data were collected concerning levels of depression, anxiety, and hedonic tone. Personality was assessed with the tridimensional personality questionnaire. Cognitive testing included the mini-mental state examination, the Cambridge examination of cognition in the elderly, and specific tests of executive functioning. Results: Patients with Parkinson’s disease had significantly higher levels of apathy than equally disabled osteoarthritic patients. Furthermore, within the Parkinson sample, levels of apathy appear to be unrelated to disease progression. The patients with Parkinson’s disease with the highest levels of apathy where not more likely to be depressed or anxious than those with the lowest levels of apathy, though they did show reduced hedonic tone. No differences in personality traits were detected in comparisons between patients with Parkinson’s disease and osteoarthritis, or between patients in the Parkinson group with high or low levels of apathy. As a group, the patients with Parkinson’s disease tended not to differ significantly from the osteoarthritic group in terms of cognitive skills. However, within the Parkinson’s disease sample, the high apathy patients performed significantly below the level of the low apathy patients. This was particularly evident on tests of executive functioning. Conclusions: Apathy in Parkinson’s disease is more likely to be a direct consequence of disease related physiological changes than a psychological reaction or adaptation to disability. Apathy in Parkinson’s disease can be distinguished from other psychiatric symptoms and personality features that are associated with the disease, and it is closely associated with cognitive impairment. These findings point to a possible role of cognitive mechanisms in the expression of apathy.

Cognitive flexibility (CF) is the ability to shift between concepts or rules. Difficulty with CF is associated with autism (i.e., ASD) as it contributes to repetitive behaviours. However, little is known about CF skills of autistic adolescents with low intelligence. This study uses the Wisconsin Card Sorting Task (WCST) to assess the CF of 36 adolescents, all with a Weschler full-scale IQ between 50 and 85, 14 of whom had an ASD diagnosis. The results indicated no statistically significant differences in WCST performance between those with and without ASD. It was also found that performance IQ significantly contributed to the WCST performance in the ASD group only, suggesting an autism-specific role of non-verbal cognitive functioning in CF.

Cognitive flexibility—the ability to adapt cognitive strategies and behavioral responses in changing environments—is a key component of executive function, supporting rule updating and conflict resolution. Individuals with substance addiction often exhibit behavioral rigidity and reduced adaptability, reflecting impairments in this domain. This study examined cognitive flexibility in individuals with methamphetamine dependence through three behavioral tasks—intra-dimensional task switching, extra-dimensional task switching, and the Wisconsin Card Sorting Test (WCST)—in combination with a subjective self-report measure. Results showed that, compared to healthy controls, methamphetamine-dependent individuals demonstrated elevated reaction time switch costs in Intra-dimensional Task Switching and increased accuracy switch costs in Extra-dimensional Task Switching, as well as more perseverative and non-perseverative errors in the WCST. These findings suggested not only reduced performances in explicitly cued rule updating and strategic shifting but also deficits in feedback-driven learning and inflexibility in cognitive set shifting on methamphetamine-dependent individuals. Moreover, their self-reported cognitive flexibility scores were aligned with their objective performance, significantly lower than healthy controls. In summary, these findings revealed consistent cognitive flexibility impairments at both behavioral and subjective levels in individuals with methamphetamine dependence, indicating a core executive dysfunction that may undermine adaptive functioning in real-life contexts. The study offers critical insights into the cognitive mechanisms underlying addiction and provides a theoretical foundation for targeted cognitive interventions.

The Fist-Edge-Palm (FEP) task, a manual hand task, has been used to detect frontal dysfunctions in clinical situations: its performance failures are observed in various prefrontal cortex (PFC)-related disorders, including schizophrenia. However, previous imaging studies reported that the performance of the FEP task activated motor-related areas, but not the PFC. Here, we aimed to investigate the relationships between the performance of the FEP task and PFC functions. Hemodynamic activity in the PFC, including the dorsolateral PFC (area 46) and frontal pole (area 10), was recorded. Healthy young subjects performed the FEP task as well as a palm tapping (PT) task (control task) three times. The subjects also completed a Wisconsin Card Sorting Test (WCST) and Schizotypal Personality Scale (STA) questionnaire. We found that hemodynamic activity (Oxy-Hb) in the PFC increased in the first trial of the FEP task but decreased considerably in the second and third trials compared to the PT task. The number of performance errors in the FEP task also decreased in the second and third trials. Error reduction (i.e., learning) in the FEP task between the first and second trials was negatively correlated with schizotypal trait and the number of perseveration errors in the WCST. Furthermore, changes in the PFC hemodynamic activity between the first and second trials were positively correlated with error reduction in the FEP task between the first and second trials, and negatively correlated with the number of perseveration errors in the WCST. These results suggest that learning in the FEP task requires PFC activation, which is negatively associated with perseveration errors in the WCST. The results further suggest that the FEP task, in conjunction with near-infrared spectroscopy, may be useful as a diagnostic method for various disorders with PFC dysfunction.