Delusions are associated with poor cognitive insight in schizophrenia

The Mediating Role of Anxiety/Depression Between Auditory Verbal Hallucinations and the Level of Insight in Schizophrenia

OBJECTIVE

Auditory verbal hallucination (AVH) is a prominent symptom of schizophrenia causing profound distress. The influence of AVHs on insight appears to be intricate and contingent on other accompanying symptoms. This study investigated the relationship and possible mediators between AVHs and the degree of insight.

METHODS

One hundred patients with schizophrenia participated in the study. Scales were used to evaluate the hallucinatory experience, the level of insight and other psychopathology. Complex relationships between variables were envisaged as a path model, whose initial structure was constructed via Gaussian Graphical Model. The validity of the final model was verified by Structural Equation Modeling. Separate analyses were performed for self-reported and clinician-rated data to enhance the model's robustness.

RESULTS

The greater the severity of the physical aspects of AVHs, the lower the level of insight observed. Conversely, higher emotional distress was associated with increased insight. These relationships were only evident in the self-reported results and were not reflected in the clinician-rated results. The path model suggested that the Positive and Negative Syndrome Scale (PANSS) anxiety/depression factor was an important mediator that linked the found association. Notably, the PANSS negative symptom had the opposite effect on the PANSS anxiety/depression factor and insight, making it difficult to define its overall effect.

CONCLUSION

The findings of this study provided one possible route for the positive influence of AVH experience in gaining insight. The mediating role of anxiety/depression modified by negative symptoms emerged as a valuable concept for clarifying this intricate relationship.

Sex effects on DNA methylation affect discovery in epigenome-wide association study of schizophrenia

Sex differences in the epidemiology and clinical characteristics of schizophrenia are well-known; however, the molecular mechanisms underlying these differences remain unclear. Further, the potential advantages of sex-stratified meta-analyses of epigenome-wide association studies (EWAS) of schizophrenia have not been investigated. Here, we performed sex-stratified EWAS meta-analyses to investigate whether sex stratification improves discovery, and to identify differentially methylated regions (DMRs) in schizophrenia. Peripheral blood-derived DNA methylation data from 1519 cases of schizophrenia (male n = 989, female n = 530) and 1723 controls (male n = 997, female n = 726) from three publicly available datasets, and the TOP cohort were meta-analyzed to compare sex-specific, sex-stratified, and sex-adjusted EWAS. The predictive power of each model was assessed by polymethylation score (PMS). The number of schizophrenia-associated differentially methylated positions identified was higher for the sex-stratified model than for the sex-adjusted one. We identified 20 schizophrenia-associated DMRs in the sex-stratified analysis. PMS from sex-stratified analysis outperformed that from sex-adjusted analysis in predicting schizophrenia. Notably, PMSs from the sex-stratified and female-only analyses, but not those from sex-adjusted or the male-only analyses, significantly predicted schizophrenia in males. The findings suggest that sex-stratified EWAS meta-analyses improve the identification of schizophrenia-associated epigenetic changes and highlight an interaction between sex and schizophrenia status on DNA methylation. Sex-specific DNA methylation may have potential implications for precision psychiatry and the development of stratified treatments for schizophrenia.

Impact of Delusions and Hallucinations on Clinical Insight Dimensions in Schizophrenia Spectrum Disorders

INTRODUCTION

Insight in psychosis has been conceptualized as a continuous, dynamic, and multidimensional phenomenon. This study aims to determine the impact of delusions and hallucinations in different dimensions of clinical insight in schizophrenia spectrum disorders.

METHODS

Cross-sectional multicenter study including 516 patients (336 men) diagnosed with schizophrenia spectrum disorders. Based on dichotomized scores of Positive and Negative Syndrome Scale (PANSS) items P1 (delusions) and P3 (hallucinations), patients were assigned to four groups according to current clear presence of delusions (scores 4 or above 4 in PANSS item P1) and/or hallucinations (scores 4 or above 4 in PANNS item P3). Insight was assessed using the three main dimensions of the Scale of Unawareness of Mental Disorder (SUMD).

RESULTS

Around 40% of patients showed unawareness of illness; 30% unawareness of the need for treatment; and 45% unawareness of the social consequences of the disorder. Patients with current clear presence of delusions had higher overall lack of awareness, regardless of current clear presence of hallucinations. Similarly, the clear presence of delusions showed a greater predictive value on insight than the presence of hallucinations, although the implication of both in the prediction was modest.

CONCLUSIONS

Our results confirm that lack of insight is highly prevalent in schizophrenia spectrum disorders, particularly when patients experience delusions. This study adds insight-related data to the growing symptom-based research, where specific types of psychotic experiences such as hallucinations and delusions could form different psychopathological patterns, linking the phenomenology of delusions to a lack of clinical insight.

Treatment of schizophrenia evaluated via the pharmacopsychometric triangle-An integrative approach with emphasis on well-being and functioning

Quantification of treatment response is crucial to optimize outcomes for patients with schizophrenia. In this study, we evaluated the relationship between quantitative measures of clinician-rated symptom severity and self-rated side effects, well-being, and functioning among inpatients with schizophrenia using the six-item version of the Positive and Negative Syndrome Scale (PANSS-6), the Glasgow Antipsychotic Side-effect Scale (GASS), the WHO-Five Well-being Index (WHO-5), and the Sheehan Disability Scale (SDS). All measurements were conducted as close to admission and discharge as possible. Well-being and functioning were found to be most strongly associated with the additive effect of symptoms and side effects, while changes in side effects, well-being, and functioning appeared to be relatively independent from changes in symptom severity. The use of both symptom and side effect measures should inform clinical decision-making in the treatment of schizophrenia, as it has the potential to optimize functioning and well-being.

Genomic Insights into the Shared and Distinct Genetic Architecture of Cognitive Function and Schizophrenia

Cognitive impairment is a major determinant of functional outcomes in schizophrenia, and efforts to understand the biological basis of cognitive dysfunction in the disorder are ongoing. Previous studies have suggested genetic overlap between global cognitive ability and schizophrenia, but further work is needed to delineate the shared genetic architecture. Here, we apply genomic structural equation modelling to identify latent cognitive factors capturing genetic liabilities to 12 cognitive traits measured in the UK Biobank (UKB). We explore the overlap between latent cognitive factors, schizophrenia, and schizophrenia symptom dimensions using a complementary set of statistical approaches, applied to data from the latest schizophrenia genome-wide association study (Ncase = 53,386, Ncontrol = 77,258) and the Thematically Organised Psychosis study (Ncase = 306, Ncontrol = 1060). We identified three broad factors (visuo-spatial, verbal analytic and decision/reaction time) that underly the genetic correlations between the UKB cognitive tests. Global genetic correlations showed a significant but moderate negative genetic correlation between each cognitive factor and schizophrenia. Local genetic correlations implicated unique genomic regions underlying the overlap between schizophrenia and each cognitive factor. We found evidence of substantial polygenic overlap between each cognitive factor and schizophrenia but show that most loci shared between the latent cognitive factors and schizophrenia have unique patterns of association with the cognitive factors. Biological annotation of the shared loci implicated gene-sets related to neurodevelopment and neuronal function. Lastly, we find that the common genetic determinants of the latent cognitive factors are not predictive of schizophrenia symptom dimensions. Overall, these findings inform our understanding of cognitive function in schizophrenia by demonstrating important differences in the shared genetic architecture of schizophrenia and cognitive abilities.

Genome-wide association study in 404,302 individuals identifies 7 significant loci for reaction time variability

Reaction time variability (RTV), reflecting fluctuations in response time on cognitive tasks, has been proposed as an endophenotype for many neuropsychiatric disorders. There have been no large-scale genome-wide association studies (GWAS) of RTV and little is known about its genetic underpinnings. Here, we used data from the UK Biobank to conduct a GWAS of RTV in participants of white British ancestry (n = 404,302) as well as a trans-ancestry GWAS meta-analysis (n = 44,873) to assess replication. We found 161 genome-wide significant single nucleotide polymorphisms (SNPs) distributed across 7 genomic loci in our discovery GWAS. Functional annotation of the variants implicated genes involved in synaptic function and neural development. The SNP-based heritability (h2SNP) estimate for RTV was 3%. We investigated genetic correlations between RTV and selected neuropsychological traits using linkage disequilibrium score regression, and found significant correlations with several traits, including a positive correlation with mean reaction time and schizophrenia. Despite the high genetic correlation between RTV and mean reaction time, we demonstrate distinctions in the genetic underpinnings of these traits. Lastly, we assessed the predictive ability of a polygenic score (PGS) for RTV, calculated using PRSice and PRS-CS, and found that the RTV-PGS significantly predicted RTV in independent cohorts, but that the generalisability to other ancestry groups was poor. These results identify genetic underpinnings of RTV, and support the use of RTV as an endophenotype for neurological and psychiatric disorders.

Confidence, accuracy judgments and feedback in schizophrenia and bipolar disorder: a time series network analysis

BACKGROUND

Inaccurate self-assessment of performance is common among people with serious mental illness, and it is associated with poor functional outcomes independent from ability. However, the temporal interdependencies between judgments of performance, confidence in accuracy, and feedback about performance are not well understood.

METHODS

We evaluated two tasks: the Wisconsin Card Sorting Test (WCST) and the Penn Emotion recognition task (ER40). These tasks were modified to include item-by-item confidence and accuracy judgments, along with feedback on accuracy. We evaluated these tasks as time series and applied network modeling to understand the temporal relationships between momentary confidence, accuracy judgments, and feedback. The sample constituted participants with schizophrenia (SZ; N = 144), bipolar disorder (BD; N = 140), and healthy controls (HC; N = 39).

RESULTS

Network models for both WCST and ER40 revealed denser and lagged connections between confidence and accuracy judgments in SZ and, to a lesser extent in BD, that were not evidenced in HC. However, associations between feedback regarding accuracy with subsequent accuracy judgments and confidence were weaker in SZ and BD. In each of these comparisons, the BD group was intermediate between HC and SZ. In analyses of the WCST, wherein incorporating feedback is crucial for success, higher confidence predicted worse subsequent performance in SZ but not in HC or BD.

CONCLUSIONS

While network models are exploratory, the results suggest some potential mechanisms by which challenges in self-assessment may impede performance, perhaps through hyperfocus on self-generated judgments at the expense of incorporation of feedback.

Genetic mechanisms for impaired synaptic plasticity in schizophrenia revealed by computational modelling

Schizophrenia phenotypes are suggestive of impaired cortical plasticity in the disease, but the mechanisms of these deficits are unknown. Genomic association studies have implicated a large number of genes that regulate neuromodulation and plasticity, indicating that the plasticity deficits have a genetic origin. Here, we used biochemically detailed computational modelling of post-synaptic plasticity to investigate how schizophrenia-associated genes regulate long-term potentiation (LTP) and depression (LTD). We combined our model with data from post-mortem mRNA expression studies (CommonMind gene-expression datasets) to assess the consequences of altered expression of plasticity-regulating genes for the amplitude of LTP and LTD. Our results show that the expression alterations observed post mortem, especially those in anterior cingulate cortex, lead to impaired PKA-pathway-mediated LTP in synapses containing GluR1 receptors. We validated these findings using a genotyped EEG dataset where polygenic risk scores for synaptic and ion channel-encoding genes as well as modulation of visual evoked potentials (VEP) were determined for 286 healthy controls. Our results provide a possible genetic mechanism for plasticity impairments in schizophrenia, which can lead to improved understanding and, ultimately, treatment of the disorder.

Relationships between cognitive biases, decision-making, and delusions

Multiple measures of decision-making under uncertainty (e.g. jumping to conclusions (JTC), bias against disconfirmatory evidence (BADE), win-switch behavior, random exploration) have been associated with delusional thinking in independent studies. Yet, it is unknown whether these variables explain shared or unique variance in delusional thinking, and whether these relationships are specific to paranoia or delusional ideation more broadly. Additionally, the underlying computational mechanisms require further investigation. To investigate these questions, task and self-report data were collected in 88 individuals (46 healthy controls, 42 schizophrenia-spectrum) and included measures of cognitive biases and behavior on probabilistic reversal learning and explore/exploit tasks. Of those, only win-switch rate significantly differed between groups. In regression, reversal learning performance, random exploration, and poor evidence integration during BADE showed significant, independent associations with paranoia. Only self-reported JTC was associated with delusional ideation, controlling for paranoia. Computational parameters increased the proportion of variance explained in paranoia. Overall, decision-making influenced by strong volatility and variability is specifically associated with paranoia, whereas self-reported hasty decision-making is specifically associated with other themes of delusional ideation. These aspects of decision-making under uncertainty may therefore represent distinct cognitive processes that, together, have the potential to worsen delusional thinking across the psychosis spectrum.

Genome-wide association study in 404,302 individuals identifies 7 significant loci for reaction time variability

Reaction time variability (RTV), reflecting fluctuations in response time on cognitive tasks, has been proposed as an endophenotype for many neuropsychiatric disorders. There have been no large-scale genome wide association studies (GWAS) of RTV and little is known about its genetic underpinnings. Here, we used data from the UK Biobank to conduct a GWAS of RTV in participants of white British ancestry (n = 404,302) as well as a trans-ancestry GWAS meta-analysis (n = 44,873) to assess replication. We found 161 genome-wide significant single nucleotide polymorphisms (SNPs) distributed across 7 genomic loci in our discovery GWAS. Functional annotation of the variants implicated genes involved in synaptic function and neural development. The SNP-based heritability (h2SNP) estimate for RTV was 3%. We investigated genetic correlations between RTV and selected neuropsychological traits using linkage disequilibrium score regression, and found significant correlations with several traits, including a positive correlation with schizophrenia. We assessed the predictive ability of a polygenic score (PGS) for RTV, calculated using PRSice and PRS-CS, and found that the RTV-PGS significantly predicted RTV in independent cohorts, but that the generalizability to other ancestry groups was poor. These results identify genetic underpinnings of RTV, and support the use of RTV as an endophenotype for neurological and psychiatric disorders.

Heterogeneity in Response to MCT and Psychoeducation: A Feasibility Study Using Latent Class Mixed Models in First-Episode Psychosis

Metacognitive training (MCT) is an effective treatment for psychosis. Longitudinal trajectories of treatment response are unknown but could point to strategies to maximize treatment efficacy during the first episodes. This work aims to explore the possible benefit of using latent class mixed models (LCMMs) to understand how treatment response differs between metacognitive training and psychoeducation. We conducted LCMMs in 28 patients that received MCT and 34 patients that received psychoeducation. We found that MCT is effective in improving cognitive insight in all patients but that these effects wane at follow-up. In contrast, psychoeducation does not improve cognitive insight, and may increase self-certainty in a group of patients. These results suggest that LCMMs are valuable tools that can aid in treatment prescription and in predicting response to specific treatments.

Relation between frontal pole volumes and cognitive insight in Schizophrenia

OBJECTIVE

Cognitive insight comprising self-reflection and self-certainty is an important determinant of functional outcomes in Schizophrenia. The neural correlates of cognitive insight in Schizophrenia are underexamined. The frontal pole (FP) is implicated in metacognitive function in healthy individuals, but its role is not well examined in Schizophrenia. We had earlier reported the relationship between Frontal pole volumes and cognitive insight in a small sample of only male patients. Hence, we studied this relationship in an independent sample of schizophrenia patients and healthy controls.

METHODS

We examined 41 healthy volunteers (HV) and 57 patients with Schizophrenia (SCZ). We used a previously validated manual morphometric method to perform FP parcellation on images obtained from a 3 T scanner and calculated the volumes. Cognitive insight was measured using Beck's Cognitive insight scale (BCIS). To assess the relationship between FP volumes and BCIS scores, multiple linear regression analyses were performed.

RESULTS

In the overall sample, age, years of education, and intracranial volume were significant predictors of BCIS scores. Within the SCZ group, age and left FP volume were significant predictors of BCIS composite scores and age, ICV for BCIS-self certainty. There was no significant relationship between age and FP volumes in either SCZ or HV group.

DISCUSSION

The current study in an independent sample further supports the critical role of the frontal pole in cognitive insight, earlier reported by us. As cognitive insight has a vital role in functional outcome, our findings have potential clinical implications.

The psychometric properties of the Nepean Belief Scale as a tool for assessing delusions in schizophrenia and related psychotic disorders

OBJECTIVES

To examine the psychometric characteristics of the Nepean Belief Scale (NBS) in psychiatric inpatients with delusions. The NBS is a five-item, clinician-administered scale that assesses the characteristics of beliefs, i.e. conviction, fixity, fluctuation, resistance and awareness that the belief is unreasonable.

METHODS

Fifty-five patients were interviewed by two clinicians, within three days of admission to an acute psychiatric unit and were assessed using the NBS, the Brown Assessment of Belief Scale (BABS), the MINI International Neuropsychiatric Interview (MINI) and the Depression Anxiety Stress Scale 21-Item Version (DASS-21). The NBS was administered after two weeks to available participants, to assess test-retest reliability.

RESULTS

Results demonstrated excellent inter-rater reliability of 0.93, Cronbach's alpha coefficient for internal consistency was 0.77. The NBS was found to have good convergent validity with the BABS and good discriminant validity with the DASS. Two-week test-retest reliability suggests that the NBS is sensitive to therapeutic change.

CONCLUSIONS

Advantages of the NBS include its brevity, its ability to assess belief-related insight, its clear instructions and its definitions of belief characteristics. Thus, the NBS has the potential to greatly improve our ability to more objectively assess delusional beliefs.

Effect of cognitive insight on clinical insight from pre-morbid to early psychosis stages

Poor cognitive insight, including low self-reflectiveness and high self-certainty, contributes to poor clinical insight, which includes awareness of illness, relabelling of specific symptoms, and treatment compliance. However, inconsistent results regarding cognitive insight among individuals at clinical high risk of psychosis (CHR) have been reported. This study investigated the difference in cognitive insight among groups with different severity of positive symptoms and analysed the effect of cognitive insight on clinical insight in each group. All participants, including CHR individuals with 3 or 4 points (L-P_item, n = 85) and 5 points (H-P_item, n = 37) on any positive-symptom item of the Scale of Prodromal Syndromes, and patients with first-episode psychosis (FEP, n = 59), were measured cognitive and clinical insight using the Beck Cognitive Insight Scale and the Schedule of Assessment of Insight, respectively. The self-reflectiveness of cognitive insight was highest in the L-P_item group and lowest in the FEP group. Self-reflectiveness was positively associated with awareness of illness in the L-P_item and FEP groups; both self-reflectiveness and self-certainty was positively associated with treatment compliance in the L-P_item group. Improving self-reflectiveness of cognitive insight may conduce to good clinical insight. Self-certainty may have different implication to individuals with mild prodromal symptoms.

Relationships between self-reflectiveness and clinical symptoms in individuals during pre-morbid and early clinical stages of psychosis

Background

Self-reflectiveness, one dimension of cognitive insight, plays a protective role in an individual's mental state. Both high and low levels of self-reflectiveness have been reported in patients with schizophrenia and individuals at clinical high risk for the illness.

Aims

This study aimed to explore the relationship patterns between self-reflectiveness and clinical symptoms in individuals during the pre-morbid and early clinical stages of psychosis.

Methods

A total of 181 subjects, including individuals with attenuated positive symptoms (APS, n=122) and patients with first-episode psychosis (FEP, n=59), completed the Beck Cognitive Insight Scale and were evaluated using the Schedule of Assessment of Insight and Positive and Negative Syndrome Scale. All subjects were classified into three groups according to their level of self-reflectiveness: low level (LSR, n=59), medium level (MSR, n=67) and high level (HSR, n=55). Both linear and non-linear relationships between self-reflectiveness and clinical symptoms were explored.

Results

More individuals with APS were classified into the MSR group, while more patients with FEP were classified into the LSR group. The LSR group demonstrated less awareness of illness than the MSR and HSR groups, more stereotyped thinking and poorer impulse control but less anxiety than the MSR group, and lower levels of blunted affect and guilt feelings than the HSR group. The MSR group demonstrated lower stereotyped thinking than the HSR group. Compared to the LSR group, the MSR group had increased self-reflectiveness, improved awareness of illness, decreased stereotyped thinking, and better impulse control, but increased feelings of guilt. The HSR group showed increased stereotyped thinking when compared to the MSR group, but the other variables did not change significantly between these two groups. Overall, self-reflectiveness demonstrated an approximately inverse S-shaped relationship with the awareness of illness, a U-shaped relationship with stereotyped thinking and poor impulse control, and an almost linear relationship with anxiety and guilt feelings.

Conclusions

Self-reflectiveness demonstrates complex relationships with clinical symptoms and fails to exert significant positive effects when reaching a certain high level.

How Local and Global Metacognition Shape Mental Health

Metacognition is the ability to reflect on our own cognition and mental states. It is a critical aspect of human subjective experience and operates across many hierarchical levels of abstraction-encompassing local confidence in isolated decisions and global self-beliefs about our abilities and skills. Alterations in metacognition are considered foundational to neurologic and psychiatric disorders, but research has mostly focused on local metacognitive computations, missing out on the role of global aspects of metacognition. Here, we first review current behavioral and neural metrics of local metacognition that lay the foundation for this research. We then address the neurocognitive underpinnings of global metacognition uncovered by recent studies. Finally, we outline a theoretical framework in which higher hierarchical levels of metacognition may help identify the role of maladaptive metacognitive evaluation in mental health conditions, particularly when combined with transdiagnostic methods.

Plasma Levels of the Cytokines B Cell-Activating Factor (BAFF) and A Proliferation-Inducing Ligand (APRIL) in Schizophrenia, Bipolar, and Major Depressive Disorder: A Cross Sectional, Multisite Study

BACKGROUND

Immune dysfunction has been implicated in the pathogenesis of schizophrenia and other nonaffective psychosis (SCZ), bipolar spectrum disorder (BIP) and major depressive disorder (MDD). The cytokines B cell-activating factor (BAFF) and A proliferation-inducing ligand (APRIL) belong to the tumor necrosis factor (TNF) super family and are essential in orchestrating immune responses. Abnormal levels of BAFF and APRIL have been found in autoimmune diseases with CNS affection.

METHODS

We investigated if plasma levels of BAFF and APRIL differed between patients with SCZ, BIP, and MDD with psychotic symptoms (n = 2009) and healthy control subjects (HC, n = 1212), and tested for associations with psychotic symptom load, controlling for sociodemographic status, antipsychotic and other psychotropic medication, smoking, body-mass-index, and high sensitivity CRP.

RESULTS

Plasma APRIL level was significantly lower across all patient groups compared to HC (P < .001; Cohen's d = 0.33), and in SCZ compared to HC (P < .001; d = 0.28) and in BIP compared to HC (P < .001; d = 0.37). Lower plasma APRIL was associated with higher psychotic symptom load with nominal significance (P = .017), but not with any other clinical characteristics. Plasma BAFF was not significantly different across patient groups vs HC, but significantly higher in BIP compared to HC (P = .040; d = 0.12) and SCZ (P = .027; d = 0.10).

CONCLUSIONS

These results show aberrant levels of BAFF and APRIL and association with psychotic symptoms in patients with SCZ and BIP. This suggest that dysregulation of the TNF system, mediated by BAFF and APRIL, is involved in the pathophysiology of psychotic disorders.

Moderators of cognitive insight outcome in metacognitive training for first-episode psychosis

Metacognitive training (MCT) is a promising treatment for improving cognitive insight associated with delusional beliefs in individuals with psychotic disorders. The aim of this study was to examine potential moderators of cognitive insight in individuals with first-episode psychosis (FEP) who received either MCT or psychoeducation. The present study was based on data from a randomized control trial comparing MCT to psychoeducation. Baseline sociodemographic and clinical characteristics in a sample of 122 patients with FEP were examined as potential moderators of the self-reflectiveness and self-certainty dimensions of cognitive insight using the SPSS PROCESS macro. The only variable that moderated self-reflectiveness at the post-treatment evaluation was age of onset (b = -0.27, p = .025). The effect of MCT in reducing self-certainty was stronger in women (b = -3.26, p = .018) and in individuals with average or above average baseline self-esteem (b = -0.30, p = .007). Overall, our findings support the generalization of MCT to a variety of sociodemographic and clinical profiles. While some patient profiles may require targeted interventions such as MCT to improve cognitive insight, others may do equally as well with less demanding interventions such as a psychoeducational group.

A Proposed Probabilistic Method for Distinguishing Between Delusions and Other Environmental Judgements, With Applications to Psychotherapy

How can individuals with schizophrenia best be equipped to distinguish delusions from accurate judgements about their environment? This study presents an approach based on the principles of Bayesian probability and presents the results of a series of tests in which a simulated observer classifies randomly generated data characteristic of a simulated environment. The complexity of the data ranges from scalars to vectors of variable lengths, and the simulated observer makes its decisions based on either perfect or imperfect models of its environment. We find that when a low-dimensional observation is considered characteristic of both real observations and delusions, the prior probabilities of any observation being real or fake are of greater importance to the final decision than the attributes of the observation. However, when an observation is high-dimensional (complex), classification accuracy tends to improve toward 100% with increasing complexity of observations, as long as the patient's model of the world isn't drastically inaccurate. On the contrary, when the observer's model is sufficiently inaccurate, the accuracy rate decreases with increasing observational complexity. Overall, the results suggest applicability of the Bayesian model to the use of interventional therapy for those who suffer from psychosis.

Clinical validation of the Symptom Self-rating Scale for Schizophrenia (4S) among inpatients

PURPOSE

Self-reports of psychosis-related symptoms may be a valuable supplement to clinician-ratings, but more validation studies are required. The aim of this study was to conduct clinical validation for the Symptom Self-rating Scale for Schizophrenia (4S) in an inpatient setting.

MATERIALS AND METHODS

Inpatients diagnosed with schizophrenia were invited to participate in the study. The participants completed the 4S, the 5-item World Health Organization Wellbeing Index (WHO-5) and the Sheehan Disability Scale (SDS) at two time points. Trained raters assessed participants using the 6-item Positive And Negative Syndrome Scale (PANSS-6). The relationship between the 4S and PANSS-6, self-reported side effects, functioning and wellbeing was assessed using Spearman's correlation coefficient (rho).

RESULTS

Sixty-one participants completed the 4S at least once (yielding a total of 91 completed 4S questionnaires). The 4S total score was weakly correlated with the PANSS-6 total score (rho = 0.37, p < 0.001). The rho's for individual 4S and PANSS-6 subscales and item comparisons ranged from -0.24 (thought disorder) to 0.69 (hallucinations). Finally, the 4S hallucination subscale was also sensitive to change. The 4S was strongly inversely correlated with wellbeing (WHO-5) and moderately inversely correlated with functioning (SDS total score).

CONCLUSION

The 4S holds promise as a valid self-report of core schizophrenia symptoms among inpatients. While the hallucination subscale seems superior to existing scales, the thought disorder subscale needs to be re-developed.

Cognitive insight is correlated with cognitive impairments and contributes to medication adherence in schizophrenia patients

OBJECTIVE

Cognitive insight refers to the ability to distance oneself from and evaluate one's own beliefs and interpretations. Little is known about whether cognitive insight could influence medication adherence in schizophrenia patients. This study examined the role of cognitive insight in medication adherence and how it would interact with neuropsychological functions.

METHODS

Ninety clinically-stable schizophrenia patients completed the Beck's Cognitive Insight Scale (BCIS) and tasks measuring prospective (PM) and other neurocognitive functions. Medication adherence was estimated using a multi-axial method comprising interview, clinician-rating, pharmacy refill record and pill counting. Correlational and regression analyses were conducted to examine whether cognitive insight and PM would be associated with mediation adherence. Post-hoc mediational analysis was performed to examine the interplay between cognitive insight, PM and medication adherence.

RESULTS

Clinical insight and cognitive insight together significantly influenced participants' medication adherence, after neurocognitive functions and psychopathology were accounted for. Time-based PM, compared with other neurocognitive functions, affected medication adherence more strongly.

CONCLUSIONS

Cognitive insight complements clinical insight in affecting medication adherence in schizophrenia patients.

Cognitive insight in psychotic patients institutionalized and living in the community: an examination using the Beck Cognitive Insight Scale

Improving cognitive insight can reduce delusions in patients with psychotic disorders. Although institutionalized patients usually have more severe delusions than outpatients, little is known about the differences in cognitive insight between these two groups. In this study, we evaluated the psychometric properties of the Beck Cognitive Insight Scale (BCIS) for a sample of Portuguese patients with psychotic disorders and compared the cognitive insight of institutionalized patients with patients living in the community. Participants in this study were 150 patients diagnosed with psychotic disorder (78 institutionalized patients and 72 outpatients). The tested model of the BCIS was a very good fit. Our study shows that patients living in the community showed higher levels of cognitive insight (total BCIS and self-reflectiveness) than institutionalized patients. Future studies assessing cognitive insight should take into account differences between the cognitive insights of institutionalized psychotic patients and psychotic patients living in the community.

Cognitive Insight in First-Episode Psychosis: Changes during Metacognitive Training

Background: Metacognitive training (MCT) has demonstrated its efficacy in psychosis. However, the effect of each MCT session has not been studied. The aim of the study was to assess changes in cognitive insight after MCT: (a) between baseline, post-treatment, and follow-up; (b) after each session of the MCT controlled for intellectual quotient (IQ) and educational level. Method: A total of 65 patients with first-episode psychosis were included in the MCT group from nine centers of Spain. Patients were assessed at baseline, post-treatment, and 6 months follow-up, as well as after each session of MCT with the Beck Cognitive Insight Scale (BCIS). The BCIS contains two subscales: self-reflectiveness and self-certainty, and the Composite Index. Statistical analysis was performed using linear mixed models with repeated measures at different time points. Results: Self-certainty decreased significantly (p = 0.03) over time and the effect of IQ was negative and significant (p = 0.02). From session 4 to session 8, all sessions improved cognitive insight by significantly reducing self-certainty and the Composite Index. Conclusions: MCT intervention appears to have beneficial effects on cognitive insight by reducing self-certainty, especially after four sessions. Moreover, a minimum IQ is required to ensure benefits from MCT group intervention.

Cultural differences and neural correlates of cognitive insight in schizophrenia

Cognitive insight refers to a person's ability to examine their psychotic experiences and the inferences they draw from these experiences. Several studies suggest that cultural factors influence cognitive insight and the processes involved therein; a few studies have suggested differences between Western and Asian societies. However, there are no studies on cognitive insight and its neural correlates in non-Western populations. Hence, we examined factor structure of Beck's cognitive insight scale (BCIS) in a large sample of patients with schizophrenia (SCZ) and healthy volunteers (HV) from India and assessed the relationship between cortical thickness and cognitive insight. We recruited 240 participants (SCZ-140; HV-100). Of these, 58 participants (SCZ-33; HV-25) underwent magnetic resonance imaging. We found a three-factor structure for BCIS which is different from the original two factor structure; self-reflection (SR) of original two-factor structure was sub-divided into- SR1, introspection and SR2, openness to feedback. There was a significant difference between HV and SCZ in the new factors, SR1 and SR2 but not in the original SR factor. Difference was also seen on MRI analysis; while there was a significant positive correlation between original SR factor and thickness of right posterior cingulate cortex, SR2 was positively correlated with thickness of left ventrolateral prefrontal cortex. The difference in factor structure in Indian participants and their distinct neural correlates point to cultural differences in cognitive insight. While in western societies the constructs of introspection and openness to feedback might integrate, they might be separate entities in Asian population.

Cognitive insight and quality of life among psychiatric outpatients

BACKGROUND

Past studies have focused primarily on clinical insight and less on cognitive insight among individuals with mental illness.

METHODS

This study examined the level of cognitive insight (CI) and its association with quality of life (QoL) among psychiatric outpatients (N = 400) in Singapore. The Beck Cognitive Insight Scale (BCIS) consisting of two subscales (self-reflectiveness (SR) and self-certainty (SC)) was used to measure CI while the brief version of the World Health Organization Quality of Life (WHOQOL-BREF) questionnaire was used to assess the subjective well-being of the individual.

RESULTS

Socio-demographic correlates of CI, differences in SR, SC, and CI scores across diagnostic groups, and the association between insight and QoL were examined. Significant differences across diagnostic groups were found only for SR scores. Higher SR and overall CI scores were significantly associated with higher QoL in the environmental domain whereas higher SC scores were associated with lower QoL in the social relationships domain.

CONCLUSIONS

An understanding of cognitive insight is necessary to produce a significant change in the underlying belief system of an individual. Together with clinical insight, these two forms of insight can be used to inform therapeutic approaches to increase awareness and improve the QoL of those with mental illnesses.

Association between olanzapine treatment and brain cortical thickness and gray/white matter contrast is moderated by cholesterol in psychotic disorders

Altered cortical brain morphology is observed in psychotic disorders. Despite the importance of lipid homeostasis for healthy brain functioning, knowledge about its role in cortical alterations in psychosis is limited. In a sample of patients with psychotic disorders, we investigated the relationship between treatment with olanzapine (OLZ), and cortical thickness and gray/white matter intensity contrast, and the association between these measures and serum lipid levels. We included 33 OLZ users, 19 unmedicated psychotic patients and 76 healthy controls (HC). Data on serum lipids and cortical measures based on MR brain images processed with FreeSurfer were analyzed with General Linear Models. We found that intensity contrast was similar in OLZ users as compared to HC and that the cortex (frontal, orbitofrontal, medial temporal) was thinner in OLZ users (p < 0.05, Bonferroni corrected). An OLZ-specific HDL interaction effect was further found for the pericentral cortical thickness measure (p < 0.05, Bonferroni corrected). Additionally, nominally significant findings indicated similar OLZ-specific interaction effects for cortical thickness in several regions, and an OLZ-specific interaction with LDL for occipital lobe contrast (p < 0.05, uncorrected). Our findings may suggest a drug-related lipid-effect on brain myelination. Experimental studies and replications in different study samples are needed to clarify these complex relationships further.

Developing a dynamic model of anomalous experiences and function in young people with or without psychosis: a cross-sectional and longitudinal study protocol

INTRODUCTION

Anomalous experiences are common within the general population, but the frequency and intensity is increased in young people with psychosis. Studies have demonstrated that perceptual biases towards noticing these phenomena plays a role, but the way one thinks about one's experience (metacognition) may also be relevant. While poor metacognitive function has been theoretically associated with anomalous experiences, this relationship is currently unclear. However, metacognition may work along a continuum with various metacognitive levels, many of which have been demonstrated as impaired in psychosis. These metacognitive components may interact via processes that maintain poor metacognition across levels, and that potentially impact both what people do in their everyday lives (functional outcome) and how people feel about their everyday lives (subjective recovery outcome) in young people with psychosis compared with healthy control participants.

METHODS AND ANALYSIS

This study will investigate the association and contribution of metacognition to anomalous experiences and outcome measures cross-sectionally and longitudinally in a 36-month follow-up. First, young people with psychosis will be compared with healthy control participants on selected measures of anomalous experience, metacognition, and function, using analysis of covariance to identify group differences. Next, the relationship between metacognitive components and processes will be explored, including processes connecting the different components, using regression analyses. Finally, mediation analyses will be used to assess the predictive value of metacognitive measures on outcome measures, both cross-sectionally and longitudinally at 36 months, while controlling for symptoms and cognition.

ETHICS AND DISSEMINATION

Ethical and Health Research Authority approval has been obtained through Camberwell St. Giles Research Ethics Committee (reference number: 17/LO/0055). This research project will be reported within a PhD thesis and submitted for journal publication. Once key predictive components of poor outcome in psychosis are identified, this study will develop a series of dynamic models to understand influences on outcome for young people with psychosis.

Right Frontotemporal Cortex Mediates the Relationship between Cognitive Insight and Subjective Quality of Life in Patients with Schizophrenia

Although prior studies identified a relationship between cognitive insight and subjective quality of life (QOL) in patients with schizophrenia, the brain regions mediating this relationship remain unknown. Recent studies have shown that the ventrolateral prefrontal cortex may be particularly important for cognitive insight in individuals with schizophrenia. Here, we examined whether frontotemporal function mediates the relationship between cognitive insight and QOL in 64 participants, including 32 patients with schizophrenia and 32 healthy controls. Cognitive insight was measured using the Beck Cognitive Insight Scale (BCIS), while participants' subjective QOL was assessed using the Medical Outcomes Study 36-item Short-form Health Survey. Frontotemporal function was evaluated during a verbal fluency task using multichannel near-infrared spectroscopy. Consistent with previous findings, we found that frontotemporal function was impaired in patients with schizophrenia. Interestingly, our data also revealed that the right ventrolateral PFC and the right anterior part of the temporal cortex significantly mediated the relationship between the self-reflectiveness (SR) subscale of the BCIS and subjective QOL. These findings suggest that cognitive insight, particularly SR, is associated with subjective QOL in patients with schizophrenia via right frontotemporal function. The findings of this study provide important insight into a QOL model of schizophrenia, which may guide the development of cost-effective interventions that target frontotemporal function in patients with schizophrenia.

Cognitive insight and objective quality of life in people with schizophrenia and auditory hallucinations

Poor cognitive insight in schizophrenia has been linked to delusions, hallucinations, and negative symptoms as well as to depressive/anxiety symptoms. Its impact on quality of life has been less studied, especially in schizophrenia subjects with ongoing auditory hallucinations. The Beck Cognitive Insight Scale (BCIS) and the Quality of Life Scale (QLS) were administered to subjects who met DSM IV criteria for schizophrenia after due translation and validation. All subjects reported ongoing auditory hallucinations at recruitment. Mean composite cognitive insight scores from participants (N = 60) (2.97 ± 2.649) were in the lower range as compared to published literature. Cognitive insight scores as well as self-reflectiveness subscale scores, but not self-certainty scores, correlated significantly with the QLS scores p < 0.001. Results suggest that better cognitive insight, especially self-reflectiveness, may be linked to better quality of life. Self-reflectiveness could be a useful construct to address in psychotherapy to improve rehabilitation.

Auditory and non-auditory hallucinations in first-episode psychosis: Differential associations with diverse clinical features

Data from 247 first-episode psychosis patients were used to explore associations between types of hallucinations and nine diverse clinical characteristics. Psychopathology was rated using the Scale for the Assessment of Positive Symptoms and Scale for the Assessment of Negative Symptoms (SANS). Childhood adversity was assessed with seven instruments; family history with an adapted version of the Family Interview for Genetic Studies; age at onset of psychosis and duration of untreated psychosis (DUP) with the Symptom Onset in Schizophrenia inventory; and insight with the Birchwood Insight Scale. Both principal component analysis-derived Auditory and Non-Auditory Hallucinations were similarly associated with delusions of influence, negative affect delusions (jealousy and sin/guilt), interpersonal childhood abuse, DUP, and insight. However, the two hallucination domains had different associations with grandiose/religious, paranoid, and somatic delusions; SANS score; childhood violence exposure; cannabis use disorders; and cocaine/other drug use disorders. Neither Auditory nor Non-Auditory Hallucinations were associated with childhood neglect, age at onset, alcohol use disorders, family history, or mode of onset of psychosis. Findings support considering hallucinations not as a unitary psychopathological construct. They represent at least two domains and are correlated in different ways with diverse clinical variables.

The quality of severe mental disorder diagnoses in a national health registry as compared to research diagnoses based on structured interview

BACKGROUND

Utilization of diagnostic information from national patient registries rests on the quality of the registered diagnoses. We aimed to investigate the agreement and consistency of diagnoses of psychotic and bipolar disorders in the Norwegian Patient Registry (NPR) compared to structured interview-based diagnoses given as part of a clinical research project.

METHODS

Diagnostic data from NPR were obtained for the period 01.01.2008-31.12.2013 for all patients who had been included in the Thematically Organized Psychosis (TOP) study between 18.10.2002 and 01.09.2014 with a Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) diagnosis of schizophrenia (n = 537), delusional disorder (n = 48), schizoaffective disorder (n = 118) or bipolar disorder (n = 408). Diagnostic agreement between the primary DSM-IV diagnosis in TOP and the International Classification of Diseases, 10th revision (ICD-10) diagnoses in NPR was evaluated using Cohen's unweighted nominal kappa (κ). Diagnostic consistency was calculated as the proportion of all registered severe mental disorder diagnoses in NPR that were equivalent to the primary diagnosis given in the TOP study.

RESULTS

The proportion of patients registered with the equivalent ICD-10 diagnosis as the primary DSM-IV diagnosis given in TOP was 84.2% for the schizophrenia group, 68.8% for the delusional disorder group, 76.3% for the schizoaffective disorder group, and 78.4% for the bipolar disorder group. Diagnostic agreement was good for schizophrenia (κ = 0.74) and bipolar disorder (κ = 0.72), fair for schizoaffective disorder (κ = 0.63), and poor for delusional disorder (κ = 0.39). Among patients with DSM-IV schizophrenia, 4.7% were diagnosed with ICD-10 bipolar disorder, and among patients with DSM-IV bipolar disorder, 2.5% were diagnosed with ICD-10 schizophrenia. Diagnostic consistency was 84.9% for schizophrenia, 59.1% for delusional disorder, 65.9% for schizoaffective disorder, and 91.0% for bipolar disorder.

CONCLUSIONS

When compared to research-based diagnoses, clinical diagnoses of schizophrenia and bipolar disorder in the NPR are accurate and consistent, with minimal diagnostic overlap between the two disorders.

Can cognitive insight predict symptom remission in a first episode psychosis cohort?

BACKGROUND

The outcome of first episode psychosis (FEP) is highly variable and difficult to predict. Cognitive insight measured at illness onset has previously been found to predict psychopathology 12-months later. The aims of this study were to examine whether the prospective relationship between cognitive insight and symptom severity is evident at four-years following FEP and to examine some psychological correlates of cognitive insight.

METHODS

FEP participants (n = 90) completed the Beck Cognitive Insight Scale (BCIS) at illness onset, and associations between BCIS scores with symptom severity outcomes (4-years after FEP) were assessed. The BCIS scales (self-reflectiveness and self-certainty) were examined as a composite score, and individually compared to other cognitive measures (IQ and jumping to conclusions (JTC) bias).

RESULTS

Regression analyses revealed that the cognitive insight composite did not predict 4-year symptom remission in this study while the self-reflection subscale of the BCIS predicted severity of symptoms at 4-years. Self-certainty items of the BCIS were not associated with symptom severity. Significant correlations between the JTC bias, self-certainty and IQ were found, but self-reflection did not correlate with these other cognitive measures.

CONCLUSIONS

Self-reflective capacity is a more relevant and independent cognitive construct than self-certainty for predicting prospective symptom severity in psychosis. Improving self-reflection may be a useful target for early intervention research.

Auditory Cortex Characteristics in Schizophrenia: Associations With Auditory Hallucinations

BACKGROUND

Neuroimaging studies have demonstrated associations between smaller auditory cortex volume and auditory hallucinations (AH) in schizophrenia. Reduced cortical volume can result from a reduction of either cortical thickness or cortical surface area, which may reflect different neuropathology. We investigate for the first time how thickness and surface area of the auditory cortex relate to AH in a large sample of schizophrenia spectrum patients.

METHODS

Schizophrenia spectrum (n = 194) patients underwent magnetic resonance imaging. Mean cortical thickness and surface area in auditory cortex regions (Heschl's gyrus [HG], planum temporale [PT], and superior temporal gyrus [STG]) were compared between patients with (AH+, n = 145) and without (AH-, n = 49) a lifetime history of AH and 279 healthy controls.

RESULTS

AH+ patients showed significantly thinner cortex in the left HG compared to AH- patients (d = 0.43, P = .0096). There were no significant differences between AH+ and AH- patients in cortical thickness in the PT or STG, or in auditory cortex surface area in any of the regions investigated. Group differences in cortical thickness in the left HG was not affected by duration of illness or current antipsychotic medication.

CONCLUSIONS

AH in schizophrenia patients were related to thinner cortex, but not smaller surface area of the left HG, a region which includes the primary auditory cortex. The results support that structural abnormalities of the auditory cortex underlie AH in schizophrenia.

Subjective versus objective cognition: Evidence for poor metacognitive monitoring in schizophrenia

BACKGROUND

Patients with schizophrenia display a number of cognitive biases, particularly a tendency to jump to conclusions, which are implicated in the pathogenesis of the disorder. The present study contrasted the degree of objective reasoning biases with subjective cognitive insight. We expected that patients with schizophrenia would display greater objective than subjective impairment suggestive of poor metacognitive awareness.

METHODS

Patients with schizophrenia (n=140) and healthy controls (n=60) underwent a test battery encompassing a cognitive bias paradigm (beads task) as well as neurocognitive tests (story recall, trail-making tests). In addition, they were administered the Beck Cognitive Insight Scale (BCIS), a subjective measure of (meta)cognitive awareness.

RESULTS

Corroborating prior research on decision making, draws to decisions were significantly delayed in controls relative to patients, whereas the core jumping to conclusion parameter (i.e., decision after one or two pieces of information) bordered significance. Patients with schizophrenia showed a lowered decision threshold and impaired neurocognition relative to nonclinical controls. Despite poor cognitive performance and prior psychotic episodes, patients with schizophrenia showed similar scores on the self-confidence subscale of the BCIS and reported even higher levels of self-reflectiveness relative to healthy controls.

DISCUSSION

The study demonstrates that patients with schizophrenia show severe cognitive biases and neurocognitive deficits but display only partial awareness herein. Raising cognitive insight in a non-insulting fashion and elevating patients' corrigibility as well as willingness to consider others' feedback and advice may help to narrow this gap and improve psychiatric symptomatology.

Clinical and cognitive insight in patients with acute-phase psychosis: Association with treatment and neuropsychological functioning

BACKGROUND

The severity of psychopathology cannot fully explain deficits in the multi-dimensional construct of insight.

AIMS

The aim of this study was to evaluate the correlates and associations of clinical and cognitive insight in patients in an acute phase of psychosis and to analyse the impact of acute treatment on these variables.

METHODS

This study examined 47 inpatients who were recently hospitalized with acute exacerbation of schizophrenia. All subjects were assessed at both admission and discharge with the Positive and Negative Syndrome Scale (PANSS), Schedule for the Assessment of Insight-Expanded Version (SAI-E), Beck Cognitive Insight Scale (BCIS), and a neurocognition battery.

RESULTS

Patients with schizophrenia gained clinical insight after treatment. Cognitive insight did not change significantly after treatment. Insight showed significant negative correlations with positive symptoms and general psychopathology, but not with negative symptoms. Clinical insight was not associated with neuropsychological functioning in this cohort.

CONCLUSION

Gaining clinical insight in the acute phase of illness was associated with the remission of positive symptoms, but not with neuropsychological functioning. Some significant correlations between clinical and cognitive insights were detected, which suggests that cognitive insight contributes to clinical insight but is not treatment-dependent. Long-term treatment may be required to understand the contribution of insight to the outcome of patients with schizophrenia.

Neural substrates underlying delusions in schizophrenia

Delusions are cardinal positive symptoms in schizophrenia; however, the neural substrates of delusions remain unknown. In the present study, we investigated the neural correlates of delusions in schizophrenia using multi-modal magnetic resonance imaging (MRI) techniques. Diffusion, structural and perfusion MRIs were performed in 19 schizophrenia patients with severe delusions, 30 patients without delusions and 30 healthy controls. Fractional anisotropy (FA), gray matter volume (GMV) and cerebral blood flow (CBF) were voxel-wisely compared among the three groups. Although patients without delusions exhibited decreased FA in white matter regions and decreased GMV in gray matter regions relative to controls, patients with severe delusions demonstrated comparable FA in all of these white matter regions and similar GMV in most of these gray matter regions. Both patient subgroups had less GMV in the amygdala and anterior cingulate cortex than controls. Although two patient subgroups showed consistent CBF changes relative to controls, only CBF in the anterior cingulate cortex was lower in patients with severe delusions than in patients without delusions. These findings suggest that schizophrenia patients with severe delusions have relatively normal structural integrity. Importantly, the excessively reduced perfusion in the anterior cingulate cortex may be associated with the development of delusions in schizophrenia.

Increased MRI-based cortical grey/white-matter contrast in sensory and motor regions in schizophrenia and bipolar disorder

BACKGROUND

Schizophrenia and bipolar disorder share genetic risk factors and one possible illness mechanism is abnormal myelination. T1-weighted magnetic resonance imaging (MRI) tissue intensities are sensitive to myelin content. Therefore, the contrast between grey- and white-matter intensities may reflect myelination along the cortical surface.

METHOD

MRI images were obtained from patients with schizophrenia (n = 214), bipolar disorder (n = 185), and healthy controls (n = 278) and processed in FreeSurfer. The grey/white-matter contrast was computed at each vertex as the difference between average grey-matter intensity (sampled 0-60% into the cortical ribbon) and average white-matter intensity (sampled 0-1.5 mm into subcortical white matter), normalized by their average. Group differences were tested using linear models covarying for age and sex.

RESULTS

Patients with schizophrenia had increased contrast compared to controls bilaterally in the post- and precentral gyri, the transverse temporal gyri and posterior insulae, and in parieto-occipital regions. In bipolar disorder, increased contrast was primarily localized in the left precentral gyrus. There were no significant differences between schizophrenia and bipolar disorder. Findings of increased contrast remained after adjusting for cortical area, thickness, and gyrification. We found no association with antipsychotic medication dose.

CONCLUSIONS

Increased contrast was found in highly myelinated low-level sensory and motor regions in schizophrenia, and to a lesser extent in bipolar disorder. We propose that these findings indicate reduced intracortical myelin. In accordance with the corollary discharge hypothesis, this could cause disinhibition of sensory input, resulting in distorted perceptual processing leading to the characteristic positive symptoms of schizophrenia.

Self-reflection and set-shifting mediate awareness in cognitively preserved schizophrenia patients

BACKGROUND

Poor insight in schizophrenia has been linked to poor cognitive functioning, psychological processes such as denial, or more recently with impaired metacognitive capacity. Few studies, however, have investigated the potential co-dependency of multiple factors in determining level of insight, but such a model is necessary in order to account for patients with good cognitive functioning who have very poor awareness. As evidence suggests that set-shifting and cognitive insight (self-reflection (SR) and self-certainty) are strong predictors of awareness we proposed that these factors are key mediators in the relationship between cognition and awareness. We hypothesised that deficits specifically in SR and set-shifting determine level of awareness in the context of good cognition.

METHODS

Thirty schizophrenia patients were stratified by high and low awareness of illness and executive functioning scores. Cognitive insight, cognition, mood and symptom measures were compared between sub-groups.

RESULTS

A low insight/high executive functioning (LI-HE) group, a high insight/high executive functioning (HI-HE) group and a low insight/low executive functioning (LI-LE) group were revealed. As anticipated, the LI-HE patients showed significantly lower capacity for SR and set-shifting than the HI-HE patients.

CONCLUSIONS

This study indicates that good cognitive functioning is necessary but not sufficient for good awareness; good awareness specifically demands preserved capacity to self-reflect and shift-set. Results support Nelson and Narens' [1990. Metamemory: A theoretical framework and new findings. The Psychology of Learning and Motivation, 26, 125-173] model of metacognition by which awareness is founded on control (set-shifting) and monitoring (SR) processes. These specific factors could be targeted to improve insight in patients with otherwise unimpaired cognitive function.

Cognitive insight is associated with cortical thickness in first-episode psychosis

Compared to non-clinical subjects, people with psychosis show poor cognitive insight as reflected in low Self-Reflectiveness and high Self-Certainty. Neuroimaging studies have reported that 1) low Self-Reflectiveness is associated with volumetric reductions in ventrolateral prefrontal cortex (VLPFC), 2) higher Self-Certainty is associated with volumetric reductions in hippocampus, and 3) higher Self-Certainty is associated with fractional anisotropy in the fornix, in people with psychosis. The aims of the current study were to expand on this research by 1) performing an exploratory whole-brain cortical thickness analysis of the neural correlates of cognitive insight, to reveal whether regions outside the VLPFC are important for cognitive insight, and 2) to evaluate associations between cognitive insight and subfields of the hippocampus, which are distinct, interacting, and have different functions. We also aimed to replicate previous research documenting associations between cognitive insight and 3) total hippocampal volumes and 4) fornix fractional anisotropy. Fifteen people with a first-episode psychosis completed the Beck Cognitive Insight Scale and provided magnetic resonance and diffusion tensor imaging scans. Cortical thickness and hippocampal volumes were analyzed in FreeSurfer, and fornixfractional anisotropy was analyzed in Diffusion Toolkit/TrackVis. Higher Self-Reflectiveness and lower Self-Certainty significantly associated with thickness and thinness in VLPFC, respectively, as well as thickness and thinness in widespread frontal, parietal and temporal cortices. No associations emerged between Self-Reflectiveness or Self-Certainty and hippocampal total or sub-field volumes, or fornix fractional anisotropy. Results suggest that the neural correlates of cognitive insight involve a network of frontal, temporal and parietal brain regions.

No progressive brain changes during a 1-year follow-up of patients with first-episode psychosis

BACKGROUND

First-episode psychosis (FEP) patients show structural brain abnormalities. Whether the changes are progressive or not remain under debate, and the results from longitudinal magnetic resonance imaging (MRI) studies are mixed. We investigated if FEP patients showed a different pattern of regional brain structural change over a 1-year period compared with healthy controls, and if putative changes correlated with clinical characteristics and outcome.

METHOD

MRIs of 79 FEP patients [SCID-I-verified diagnoses: schizophrenia, psychotic bipolar disorder, or other psychoses, mean age 27.6 (s.d. = 7.7) years, 66% male] and 82 healthy controls [age 29.3 (s.d. = 7.2) years, 66% male] were acquired from the same 1.5 T scanner at baseline and 1-year follow-up as part of the Thematically Organized Psychosis (TOP) study, Oslo, Norway. Scans were automatically processed with the longitudinal stream in FreeSurfer that creates an unbiased within-subject template image. General linear models were used to analyse longitudinal change in a wide range of subcortical volumes and detailed thickness and surface area estimates across the entire cortex, and associations with clinical characteristics.

RESULTS

FEP patients and controls did not differ significantly in annual percentage change in cortical thickness or area in any cortical region, or in any of the subcortical structures after adjustment for multiple comparisons. Within the FEP group, duration of untreated psychosis, age at illness onset, antipsychotic medication use and remission at follow-up were not related to longitudinal brain change.

CONCLUSIONS

We found no significant longitudinal brain changes over a 1-year period in FEP patients. Our results do not support early progressive brain changes in psychotic disorders.

The relationship between cognitive insight and quality of life in schizophrenia spectrum disorders: Symptom severity as potential moderator

Cognitive insight is implicated in the formation and maintenance of hallucinations and delusions. However, it is not yet known whether cognitive insight relates to broader outcome measures like quality of life. In the current study, we investigated whether the component elements of cognitive insight-self-certainty and self-reflectiveness-were related to quality of life for 43 outpatients with schizophrenia or schizoaffective disorder. Cognitive insight was assessed using the Beck Cognitive Insight Scale (BCIS) while quality of life was assessed with Quality of Life Scale (QLS). We tested whether this relationship was moderated by clinical insight and symptom severity using the Scale to Assess Unawareness of Mental Disorder (SUMD) and the Positive and Negative Syndrome Scale (PANSS). We found that self- reflectiveness had an unmoderated positive relationship with quality of life. Self-certainty was associated with better quality of life for people with more severe symptoms. Theoretical and clinical implications of these findings are discussed and areas of future research are proposed.

Negative symptoms in schizophrenia show association with amygdala volumes and neural activation during affective processing

OBJECTIVES

Negative symptoms in schizophrenia have been associated with structural and functional alterations of the amygdala. We hypothesised that there would be between-group differences in amygdala volume and neural activation patterns during processing of affective stimuli among patients with schizophrenia and healthy controls. We further hypothesised correlations between neuroimaging metrics and clinical ratings of negative symptoms in patients with schizophrenia.

METHODS

We used structural and functional magnetic resonance imaging to assess volume and neural activation of the amygdala in 28 patients with schizophrenia and 28 healthy controls.

RESULTS

We found no between-group differences in amygdala volume or neural activation. However, we found a significant negative correlation between emotional blunting and neural activation in the left amygdala during processing of positive affect. We also found a significant negative correlation between stereotyped thinking and the volume of right amygdala.

CONCLUSION

Our findings implicate the amygdala in a subgroup of negative symptoms in schizophrenia that are characterised by reduced expression with blunted affect and stereotyped thinking.

The relationship between cognitive insight and depression in psychosis and schizophrenia: a review and meta-analysis

Lack of insight is a commonly observed problem in patients with psychosis and schizophrenia. Clinical insight in patients has been associated with low mood. Cognitive insight is a recently defined concept, relating to the ability to self-reflect and the degree to which patients are over-confident regarding their interpretations of illness-related experiences, and is related to clinical insight. We therefore sought to investigate whether there is a positive relationship between cognitive insight and mood. A literature search identified 17 relevant papers published between 2004 and 2014. Our analysis indicated that there was a small but significant positive correlation between the composite index (CI) of the Beck Cognitive Insight Scale (BCIS) and depression scores, but this was driven by a significant positive relationship between depression and the BCIS self-reflection (SR) sub-scale, where low mood was related to higher SR scores. There was no significant relationship between the self-certainty sub-scale and depression. Post-hoc analysis indicated that different depression scales did not significantly affect the relationship with SR. Our results support the idea that cognitive insight is significantly related to mood in schizophrenia, and the effect size is similar to that between clinical insight and mood. Potential applications of this knowledge into treatment and rehabilitation are discussed and a model of cognitive insight is proposed.