Literature DB >> 23734941

Metacognitive awareness of cognitive problems in schizophrenia: exploring the role of symptoms and self-esteem.

M Cella1, S Swan1, E Medin1, C Reeder1, T Wykes1.   

Abstract

BACKGROUND: People with a diagnosis of schizophrenia have limited metacognitive awareness of their symptoms. This is also evident for cognitive difficulties when neuropsychological assessments and self-reports are compared. Unlike for delusions and hallucinations, little attention has been given to factors that may influence the mismatch between objective and subjectively reported cognitive problems. Symptom severity, and also self-esteem and social functioning, can have an impact on cognitive problem perception and help to explain the gap between objective and subjective cognitive assessments in psychosis.
METHOD: One-hundred participants with a diagnosis of schizophrenia were recruited and assessed with a comprehensive neuropsychological battery, a measure of awareness of cognitive problems and measures of psychotic symptoms, social and behavioural functioning and self-esteem. Regression was used to investigate the influence of symptoms, social functioning and self-esteem, and patients with different levels of cognitive problem awareness were contrasted.
RESULTS: Simple correlation analysis replicated the lack of association between objective cognitive measures and metacognitive awareness of cognitive problems. However, the results of the regression analyses highlight that self-esteem and negative symptoms predict metacognitive awareness. When significant predictors were controlled, individuals with better awareness had more impaired working memory but higher IQ.
CONCLUSIONS: Poor self-esteem and high negative symptoms are negatively associated with metacognitive awareness in people with schizophrenia. Interventions that aim to improve cognition should consider that cognitive problem reporting in people with schizophrenia correlates poorly with objective measures and is biased not only by symptoms but also by self-esteem. Future studies should explore the causal pathways using longitudinal designs.

Entities:  

Mesh:

Year:  2013        PMID: 23734941      PMCID: PMC3880064          DOI: 10.1017/S0033291713001189

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


Introduction

Lack of symptom awareness is a common characteristic in people suffering from schizophrenia (Amador et al. 1993; David et al. 2012). Research on symptom awareness has traditionally focused on psychotic symptoms, with only more recent research exploring cognition (Aleman et al. 2006). Several reports have highlighted a mismatch between subjective assessments and outcomes from neuropsychological tests (Harvey et al. 2001; Stip et al. 2003; Medalia & Lim, 2004; Moritz et al. 2004; Keefe et al. 2006; Sanjuan et al. 2006). However, some studies have noted that a degree of awareness can be observed in some patients (e.g. Stip et al. 2003; Medalia et al. 2008). In the attempt to elucidate the discrepancies between subjective and performance-based assessments of cognitive problems, some contributions have suggested that general IQ may limit insight in schizophrenia (David et al. 1992, 1995; Rossell et al. 2003). Other studies suggest that cognitive shifting may be more strongly associated with cognitive symptom insight (Cuesta et al. 1995; Aleman et al. 2006). The relevance of psychopathology to cognitive symptom awareness has also been explored, but the findings are largely inconsistent (Ritsner & Blumenkrantz, 2007; De Hert et al. 2009). Despite the controversies about which particular domain is associated with cognitive symptoms awareness, there seems to be a consensus in the literature on the relevance of cognitive deficits awareness in people with schizophrenia. Factors that contribute to poor awareness of cognitive problems are: gender (Cuffel et al. 1996; Mintz et al. 2003), age of onset (Lysaker & Bell, 1995) and lower education levels (Macpherson et al. 1996; Ritsner & Blumenkrantz, 2007), but the evidence is not conclusive (e.g. David et al. 1995; Goldberg et al. 2001). Unlike the other factors mentioned, cognition and low mood have been hypothesized to have a direct relationship with insight. Cognitive problems may, more intuitively, limit awareness simply by influencing the ability to retain and elaborate information (Cooke et al. 2007). Alternatively, some authors suggest that depression and poor self-esteem are associated with better insight because poor insight may function as a defence mechanism for depression (McGlashan & Carpenter, 1976). Studies conducted in individuals experiencing a manic episode also suggest that elated mood is associated with poor insight in the context of recovery (Michalakeas et al. 1994). More recently, some researchers have begun to focus on the relationship between metacognition and symptoms insight (Lysaker et al. 2011,). The term metacognition is used to describe a person's reflection about their cognitive processes. Important aspects of metacognition are: monitoring (cognitive functioning evaluation), control (directing and evaluating cognitive and behavioural performance) and knowledge (understanding task difficulty and resources required). Awareness of cognitive problems can be thought of as a form of metacognitive knowledge that can effectively guide the deployment of cognitive resources to a specific task and can provide the necessary knowledge for individuals to access the relevant resources to perform at maximal efficiency (Flavell, 1979). Metacognition is traditionally measured with self-assessed measures. In the area of cognitive symptoms several assessment tools have been put forward, with some measures having a specific focus on metacognitive regulation (Beck et al. 2004; Koren et al. 2004) and others on metacognitive knowledge (Stip et al. 2003; Medalia & Thysen, 2008). In this study we have focused on metacognitive knowledge because of its relevance to treatment choices. Despite the different focus, an assessment of cognitive problems from the point of view of the patient cannot disregard the relevance of factors such as symptoms, illness-related factors, and also self-related factors, as important elements that can influence reporting. Several studies have highlighted the importance of self-related factors and schemas in reflecting on cognitive symptoms (Cuffel et al. 1996; Ritsner & Blumenkrantz, 2007). In particular, a study by Lysaker et al. (2011a) and a review by David et al. (2012) advanced the possibility of a link between self-esteem and metacognition, with self-esteem being a possible biasing factor for the reporting of symptoms. The investigation of factors likely to influence the reporting of cognitive problems is clinically relevant. In the context of behavioural interventions targeting cognitive difficulties, such as cognitive remediation, the subjective report of cognitive difficulties is crucial for goal shaping and therapy engagement (Huddy et al. 2012). Engagement in treatment is likely to be more positive if cognitive training is directed towards domains perceived as problematic. However, the mismatch between objective and subjective cognitive problems may lead to treatment that feels irrelevant to the client because it does not match the areas of difficulty perceived as problematic. Additionally, metacognition has been suggested as an important mediator linking cognitive improvement following cognitive remediation with functional outcomes (Wykes & Spaulding, 2011; Wykes et al. 2012); with this relationship being found not only in people with schizophrenia but also in individuals with traumatic brain injury (Cicerone et al. 2011). Previous research has highlighted several factors that may influence symptom awareness. Positive and negative symptoms, level of function in everyday life and also self-esteem have been identified as potentially significant biasing factors for symptoms reporting (Lysaker et al. 2011b; Palmier-Claus et al. 2011; Cella et al. 2012; David et al. 2012). These factors have mostly been investigated in relation to psychotic features, in particular hallucination and delusion, with cognitive difficulties being largely neglected. Given the previous literature, we hypothesized that self-esteem, psychotic symptoms and social functioning may play a relevant role in influencing awareness. Being poorly aware of symptoms and social functioning problems may lead individuals with schizophrenia to hold incongruent levels of self-esteem (e.g. where self-esteem is high in the presence of debilitating symptoms and poor social functioning). It is plausible to hypothesize that poor awareness of cognitive problems may be similarly dissociated with self-esteem, as the concept of self-esteem is inherently related to metacognition as it requires individuals to reflect upon their self-worth. No previous study has attempted to explore the role of self-esteem as a predictor of cognitive awareness. It is therefore possible that controlling for self-esteem may remove part of the self-reflective bias that could prevent patients' judgement from being closer to performance-based assessment and uncover associations in domains where the awareness bias is less pronounced. The current study set out to examine how self-esteem, symptoms and level of function may influence awareness of cognitive problems. In line with previous reports, we expected that there would be a non-significant correlation between cognitive performance and cognitive problem awareness (e.g. Stip et al. 2003; Medalia & Lim, 2004; Medalia & Thysen, 2008). However, when controlling for symptoms, self-esteem and social functioning we expected that a relationship would emerge between subjective and objectively reported cognitive problems.

Method

Participants

Participants (n = 100) were recruited as part of a cognitive remediation study. Inclusion criteria were: age between 18 and 65 years, a DSM-IV diagnosis of schizophrenia or other psychotic disorder and cognitive impairment of 1 standard deviation (s.d.) below the population average in at least four out of eight cognitive domains. Potential participants were excluded if they had a history of learning disability/developmental disorder, a history of organic brain disorder or head trauma or a diagnosis of substance dependence, or if they required the use of an interpreter. Recruitment took place in clinical teams within the South London and Maudsley National Health Service (NHS) Foundation Trust and Sussex Partnership NHS Foundation Trust in the UK.

Assessment

Subjective Scale to Investigate Cognition in Schizophrenia (SSTICS; Stip et al. 2003)

The SSTICS was used as a measure of awareness of cognitive problems. The questionnaire contains 21 items focusing on: memory, attention, executive functions and praxia. Each item, referring to how often a problem occurs, is rated on a five-point Likert scale ranging from ‘never’ to ‘very often’. A higher score suggests greater awareness of cognitive problems. The scale has good internal consistency (α = 0.86) and test–retest reliability (r = 0.8; Stip et al. 2003). For this study we used the SSTICS problem (SSTICS-P) score. The SSTICS-P score ranges from 0 to 21 and is calculated as the number of items endorsed at the ‘very often’ or ‘often’ level on the SSTICS. This score better captures the number of problems that patients are likely to mention in a consultation session and is therefore more clinically relevant.

Positive and Negative Syndrome Scale (PANSS; Kay et al. 1987)

The scores derived from this measure and used in the analysis were the positive and negative symptom subscales. A higher score on either scale indicates greater symptom severity. All the PANSS raters were trained by an experienced researcher; interview reliability was appropriate and assessed with independent ratings conducted on selected recorded interviews.

Rosenberg Self-Esteem Scale (RSES; Rosenberg, 1965)

The RSES was used to provide a measure of participants' self-esteem. A higher total score is indicative of higher self-esteem.

Social Behaviour Schedule (SBS; Wykes & Sturt, 1986)

The SBS was used as a measure of participants' social functioning and was completed by a member of each participant's care team on their observations of the participant's functioning over the past month. A higher total score suggests greater difficulty across social functioning domains.

Objective measures of cognition

Each participant completed a neuropsychological assessment including: the Rey Complex Figure (Meyers & Meyers, 1995), the Wisconsin Card Sorting Task (WCST; Heaton et al. 1993), the Hayling Sentence Completion Test (Burgess & Shallice, 1997) and the Digit Span, Digit Symbol Coding, Vocabulary and Block Design from the Wechsler Adult Intelligence Scale – Fourth Edition (WAIS-IV; Wechsler, 2008). Pre-morbid IQ was estimated with the Wechsler Test of Adult Reading (WTAR; Holdnack, 2001).

Analysis

Data integrity

The Shapiro–Wilk test was used to assess variables' distribution normality and, where normality assumptions were violated, natural logarithmic transformation was performed prior to inclusion in parametric statistics (Sokal & Rohlf, 2012).

Relationship between subjective and objective assessments

Pearson correlation coefficients were calculated between the SSTICS-P score and the objective measures of cognition to assess the association. A linear, forced entry, regression model was used to specify the contribution of symptoms (i.e. positive and negative), social functioning and self-esteem to SSTICS-P scores. As participants were selected on the basis of their cognitive difficulties, high scores on the SSTICS-P indicate a better metacognitive awareness of problems and low scores indicate poorer metacognitive awareness. To define the relationships to metacognitive awareness more clearly, we defined two groups differing in their metacognitive awareness levels on the STICS-P score distribution: the SSTICS-HP (High Problem) included participants from the top quartile and the SSTICS-LP (Low Problem) included participants from the bottom quartile. The SSTICS-HP and STIPS-LP groups were contrasted using an ANCOVA with neuropsychological test performance entered as the dependent variable and factors significantly predicting the SSTICS-P score in the regression entered as covariates. For this analysis cognitive test performance was reported in standardized z scores based on this sample.

Results

Demographics

Of the 100 patients recruited for the study, 84 had a DSM-IV diagnosis of schizophrenia and 16 schizo-affective disorder. Table 1 presents demographic characteristics of the participants including pre-morbid IQ.
Table 1.

Sociodemographic and clinical characteristics of the study population (n = 100)

Age, mean (s.d.)39.28 (11.33)
Sex, % male63
Marital status, %
 Single82
 Married8
 Other10
Ethnicity, %
 White41
 Black46
 Asian7
 Mixed6
Pre-morbid IQ, mean (s.d.)93.72 (10.59)
Current FSIQ, mean (s.d.)87.00 (13.69)
Years of education, mean (s.d.)13.29 (2.39)
Employment status, %
 Paid employment7
 Voluntary work18
 Student20
 Unemployed55
Weekly hours in employment, mean (s.d.)
 Paid employment (n = 8)14.94 (11.78)
 Voluntary employment (n = 23)6.29 (8.93)
Years since first contact with mental health services, %
 < 1 year3
 1–5 years16
 5–10 years20
 > 10 years61
Years since first admission to hospital, %
 Never admitted8
 < 1 year1
 1–5 years18
 5–10 years20
 > 10 years53
Number of admissions in past 2 years, mean (s.d.)0.62 (1.01)

FSIQ; Full-scale intelligence quotient; s.d., standard deviation.

Sociodemographic and clinical characteristics of the study population (n = 100) FSIQ; Full-scale intelligence quotient; s.d., standard deviation.

Data integrity

The SSTICS-P mean was 6.7 (s.d. = 5.4) with a variation range of 18 (minimum 0, maximum 18). Skewness was 0.37 and kurtosis was –1.2. The SSTICS-P internal consistency using Cronbach's α was 0.91.

Metacognitive awareness and neuropsychological assessment

As expected, there were no significant correlations between the neuropsychological test scores and the SSTICS-P score (all p > 0.1) (see Fig. S1).

Predictors of metacognitive awareness

With PANSS positive and negative subscales, SBS and RSES entered, the model explained 22% of the SSTICS-P variance (F1,96 = 5.68, p < 0.0001). The RSES score was the best predictor for the final model (β = –0.33, p < 0.0001). PANSS negative and total SBS scores made smaller contributions, with significance levels just below and approaching conventional significance threshold respectively (PANSS negative: β = –0.28, p < 0.046; SBS: β = 0.16, p = 0.056). PANSS positive did not contribute significantly (β = 0.03, p = 0.46).

Comparing poor versus good awareness

The top quartile (SSTICS-HP) consisted of 24 participants and the bottom quartile (SSTICS-LP) consisted of 26 participants. As expected, the groups differed significantly on the number of problems identified, with mean problems for SSTICS-HP = 13.81 (s.d. = 2) and for SSTICS-LP = 0.31 (s.d. = 0.4) (t48 = –32.8, p < 0.0001). A multivariate ANCOVA was used to examine differences in mean population z scores between the two groups across the neuropsychological domains: working memory (WM); short-term memory recall (STR); long-term memory recall (LTR); attention (AT); processing speed (PS); executive function – set-shifting (EF-SS); executive function – inhibition (EF-IN); and full-scale IQ (FSIQ). The analysis controlled for self-esteem, PANSS negative score and also SBS total as this variable approached significance level. The two group profiles are shown in Fig. 1. The SSTICS-HP group had poorer working memory performance than the SSTICS-LP group (F4,46 = 4.51, p = 0.007, η2 = 0.23). IQ was higher in those reporting more problems (F4,46 = 2.9, p = 0.025, η2 = 0.26). Post-hoc ANOVA confirmed higher levels of self-esteem in the SSTICS-LP group (F1,53 = 4.06, p < 0.0001).
Fig. 1.

Neuropsychological profile (z scores with standard errors) of the Subjective Scale to Investigate Cognition in Schizophrenia Low Problem (SSTICS-LP) and SSTICS High Problem (SSTICS-HP) groups. WM, Working memory; STR, short-term recall; LTR, long-term recall; AT, attention; PS, procession speed; EF-SS, executive function, set-shifting; EF-IN, executive function, inhibition; FSIQ, full-scale IQ.

Neuropsychological profile (z scores with standard errors) of the Subjective Scale to Investigate Cognition in Schizophrenia Low Problem (SSTICS-LP) and SSTICS High Problem (SSTICS-HP) groups. WM, Working memory; STR, short-term recall; LTR, long-term recall; AT, attention; PS, procession speed; EF-SS, executive function, set-shifting; EF-IN, executive function, inhibition; FSIQ, full-scale IQ. To further clarify the role of IQ in metacognitive awareness, an ANOVA was carried out to explore the role of IQ change, calculated by subtracting current IQ from pre-morbid IQ. The results show that IQ change did not differ between the SSTICS-HP and SSTICS-LP groups.

Discussion

The aim of this study was to explore predictors of poor cognitive problem awareness in schizophrenia. Based on the literature we hypothesized that three factors would be important predictors: self-esteem, social functioning and symptom dimensions. As hypothesized, the results replicated the mismatch between objective and subjective assessment of cognitive problems. Variance analysis showed that approximately a quarter of the variance in the subjective awareness of cognitive problems can be explained by self-esteem, negative symptoms and social functioning. The strongest predictor was self-esteem, with lower self-esteem values being predictive of better awareness. This result suggests that high self-esteem might only be preserved in the context of denial of cognitive difficulties, a notion that has been proposed in the context of insight and psychotic symptoms (David et al. 2012). This interpretation poses a challenge to interventions aiming to improve metacognitive awareness of problems because change in metacognitive levels may affect self-esteem negatively (Salvatore et al. 2012). This is, however, an empirically testable hypothesis that, as far as we know, has not been investigated. Wykes & Reeder (2005) and, more recently, Wykes & Spaulding (2011) proposed that more strategic approaches to cognitive remediation (rather than just practising tasks) may lead to improvements in metacognition that allow the transfer of cognitive gains to functional outcomes. The evidence so far is that self-esteem does not suffer following cognitive remediation and in some cases improves (Wykes et al. 1999) following strategic cognitive remediation. However, more specific relationships with measures of metacognition have not been explored. An alternative explanation could be that, after many years, patients become used to their cognitive problems, which, unlike psychotic symptoms, tend to fluctuate less. This may lead to a gradual repositioning of individuals' self-esteem levels to upper levels. Individuals who identified themselves as having more cognitive problems had worse working memory performance and better IQ. One explanation might be that awareness of cognitive problems differs from domain to domain and working memory problems may be easier and more obvious to recognize and report. Working memory problems are also marked in the pre-morbid stage of psychosis and feature heavily in family members, suggesting a genetic predisposition (Seidman et al. 2012). Longer experience with memory deficits, and also having experienced difficulties in a period prior to psychotic symptoms onset, may result in better awareness of this problem. This lends support to the hypothesis that awareness for cognitive symptoms in psychosis may be more accurate than that for psychotic symptoms because of their pre-psychotic nature and longer presence. Alternatively, or additionally, the higher IQ scores in those reporting more working memory problems in the higher awareness group may indicate that a certain level of cognitive preservation influences reporting of cognitive symptoms. It seems unlikely that better general cognition would simply correlate with better awareness and many studies have confirmed that other crucial factors such as psychopathology, mood and demographic factors significantly influence this relationship (e.g. Macpherson et al. 1996; Rossell et al. 2003; David et al. 2012). The relationship between self-esteem and metacognitive awareness is of importance for clinical practice and research. Although previous research has shown a positive association between cognitive improvements and self-esteem (e.g. Wykes et al. 1999) in the context of cognitive remediation, a more recent study has shown that this relationship depends largely on clients' awareness of cognitive state changes (Rose et al. 2008). Further evidence, produced in the context of improving general symptom awareness, suggests that higher levels of metacognitive awareness are associated with increased levels of hopelessness and poorer self-esteem (Lysaker et al. 2009). Despite the possible negative impact on self-esteem, improvements in metacognitive awareness can have a positive effect on therapeutic engagement. Therapy targeting areas perceived as not problematic by patients are unlikely to be perceived as important and worthy of effort. An improved understanding of cognitive problems, in the context of cognitive remediation, can facilitate the perceived relevance of cognitive tasks and their repetition. Hence, the negative effects on self-esteem should be considered as part of a comprehensive framework in which increased awareness may contribute to improving therapy engagement and perceived meaningfulness of the intervention and in turn reduce drop-outs. However, this is speculation and more research is needed to provide evidence in favour or against this. A recent study by Drake et al. (unpublished observations) suggests that cognitive remediation, purported to improve metacognitive awareness, made subsequent cognitive behavioural therapy (CBT) more efficient in terms of the number of sessions required for the same outcome (i.e. reduction in psychotic symptom). The exploration of causation in terms of the associations between factors identified here requires alternative designs such as longitudinal or path analysis designs, and treatment studies would be clearly helpful in this context as change in factors following treatment would allow causal hypothesis testing. Direct subjective measures of metacognition are also needed. One method proposed by Koren et al. (2004) allows the measurement of decisions based (it is assumed) on a clear awareness of performance on the WCST. Although this experimental method has provided interesting data, anecdotal evidence reported by these authors suggests that the decisions made and the participants' subjective awareness might differ. More generally, future research should investigate the importance of self-esteem as applied to cognitive rehabilitation treatments so that therapy programmes can limit self-esteem reduction in the context of awareness improvement. Evidence suggests that treatment effects are also influenced, to a significant extent, by therapists and it is likely that the extent of change in self-esteem resulting from improved metacognition may be associated with a therapist's experience (Medalia & Richardson, 2005; Huddy et al. 2012). Supplementary information supplied by authors. Click here for additional data file.
  42 in total

1.  Relationship between insight, educational background and cognition in schizophrenia.

Authors:  R Macpherson; B Jerrom; A Hughes
Journal:  Br J Psychiatry       Date:  1996-06       Impact factor: 9.319

2.  What predicts a good response to cognitive remediation interventions?

Authors:  Alice Medalia; Randall Richardson
Journal:  Schizophr Bull       Date:  2005-08-24       Impact factor: 9.306

3.  The effects of neurocognitive remediation on executive processing in patients with schizophrenia.

Authors:  T Wykes; C Reeder; J Corner; C Williams; B Everitt
Journal:  Schizophr Bull       Date:  1999       Impact factor: 9.306

4.  Awareness of illness in schizophrenia and outpatient treatment adherence.

Authors:  B J Cuffel; J Alford; E P Fischer; R R Owen
Journal:  J Nerv Ment Dis       Date:  1996-11       Impact factor: 2.254

5.  Insight in schizophrenia and mood disorders and its relation to psychopathology.

Authors:  A Michalakeas; C Skoutas; A Charalambous; A Peristeris; V Marinos; E Keramari; A Theologou
Journal:  Acta Psychiatr Scand       Date:  1994-07       Impact factor: 6.392

6.  The Schizophrenia Cognition Rating Scale: an interview-based assessment and its relationship to cognition, real-world functioning, and functional capacity.

Authors:  Richard S E Keefe; Margaret Poe; Trina M Walker; Joseph W Kang; Philip D Harvey
Journal:  Am J Psychiatry       Date:  2006-03       Impact factor: 18.112

7.  Subjective perception of cognitive deficit in psychotic patients.

Authors:  Julio Sanjuán; Eduardo-Jesus Aguilar; Jose Manuel Olivares; Salvador Ros; Angel Luis Montejo; Fermin Mayoral; Miguel Angel Gonzalez-Torres; Manuel Bousoño
Journal:  J Nerv Ment Dis       Date:  2006-01       Impact factor: 2.254

8.  Insight and psychotic illness. Cross-sectional and longitudinal associations.

Authors:  A David; J van Os; P Jones; I Harvey; A Foerster; T Fahy
Journal:  Br J Psychiatry       Date:  1995-11       Impact factor: 9.319

9.  Is poor insight in psychotic disorders associated with poor performance on the Wisconsin Card Sorting Test?

Authors:  M J Cuesta; V Peralta; F Caro; J de Leon
Journal:  Am J Psychiatry       Date:  1995-09       Impact factor: 18.112

10.  The effect of working alliance on adherence and outcome in cognitive remediation therapy.

Authors:  Vyv Huddy; Clare Reeder; Dimitris Kontis; Til Wykes; Daniel Stahl
Journal:  J Nerv Ment Dis       Date:  2012-07       Impact factor: 2.254

View more
  15 in total

1.  Self-Awareness Deficits of Cognitive Impairment in Individuals With Schizophrenia. Really?

Authors:  Stéphane Raffard; Cindy Lebrun; Sophie Bayard; Alexandra Macgregor; Delphine Capdevielle
Journal:  Front Psychiatry       Date:  2020-07-30       Impact factor: 4.157

2.  The Screen for Cognitive Impairment in Psychiatry: Proposal for a polytomous scoring system.

Authors:  Juana Gómez-Benito; Ángela I Berrío; Georgina Guilera; Emilio Rojo; Scot Purdon; Oscar Pino
Journal:  Int J Methods Psychiatr Res       Date:  2017-11-07       Impact factor: 4.035

3.  Associations between Cortical Thickness and Metamemory in Alzheimer's Disease.

Authors:  Tugce Duran; Ellen Woo; Diana Otero; Shannon L Risacher; Eddie Stage; Apoorva B Sanjay; Kwangsik Nho; John D West; Meredith L Phillips; Naira Goukasian; Kristy S Hwang; Liana G Apostolova
Journal:  Brain Imaging Behav       Date:  2022-01-22       Impact factor: 3.224

4.  Longitudinal relations between symptoms, neurocognition, and self-concept in schizophrenia.

Authors:  Klaus Hesse; Levente Kriston; Andreas Wittorf; Jutta Herrlich; Wolfgang Wölwer; Stefan Klingberg
Journal:  Front Psychol       Date:  2015-07-03

5.  Subjective cognitive complaints and its relation to objective cognitive performance, clinical profile, clinical insight, and social functioning in patients of schizophrenia: A cross-sectional study.

Authors:  Sachin Pradeep Baliga; Ravindra M Kamath; Jahnavi S Kedare
Journal:  Indian J Psychiatry       Date:  2020-03-17       Impact factor: 1.759

6.  Subjective cognitive complaints and relations to objective cognitive performance among Lebanese patients with schizophrenia.

Authors:  Jean-Pierre Clément; Benjamin Calvet; Chadia Haddad; Pascale Salameh; Hala Sacre; Clément Polin
Journal:  BMC Psychiatry       Date:  2021-11-09       Impact factor: 3.630

7.  Lessons learnt? The importance of metacognition and its implications for Cognitive Remediation in schizophrenia.

Authors:  Matteo Cella; Clare Reeder; Til Wykes
Journal:  Front Psychol       Date:  2015-09-01

8.  Editorial: Non-pharmacological Interventions for Schizophrenia: How Much Can Be Achieved and How?

Authors:  Christina Andreou; Steffen Moritz
Journal:  Front Psychol       Date:  2016-08-29

Review 9.  A systematic review of moderators of cognitive remediation response for people with schizophrenia.

Authors:  Benedetta Seccomandi; Dimosthenis Tsapekos; Katie Newbery; Til Wykes; Matteo Cella
Journal:  Schizophr Res Cogn       Date:  2019-09-05

10.  Executive dysfunction in schizophrenia: Predictors of the discrepancy between subjective and objective measures.

Authors:  Ingvild Haugen; Jan Stubberud; Torill Ueland; Elisabeth Haug; Merete Glenne Øie
Journal:  Schizophr Res Cogn       Date:  2021-06-15
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.