Internal consistency, temporal stability and neuropsychological correlates of three cognitive components of the Positive and Negative Syndrome Scale (PANSS).

Comprehensive models of schizophrenia have increasingly included symptoms of cognitive dysfunction as an important feature of schizophrenia. Factor analytic studies of the Positive and Negative Syndrome Scale (PANSS) have consistently established cognitively disorganized symptoms as a separate domain from positive and negative symptoms. However, the individual symptom composition of the cognitive domain varies from model to model. The present study explores the temporal stability, internal consistency, concurrent validity, and discriminant validity for three published PANSS factor analytically derived cognitive components (Bell et al., 1994a, Psychiatry Res., 52, 295-303; Dollfus et al., 1991. Eur. Psychiatry, 6, 251-259; Kay and Sevy, 1990. Schizophr. Bull., 16, 537-544). Analyses were conducted using PANSS data from 120 patients with DSM-IV diagnoses of schizophrenia or schizoaffective disorder. Results indicate that the Bell et al. and Kay and Sevy models have similar psychometric properties including adequate temporal stability, internal consistency, and discriminant validity. The Kay model demonstrated somewhat better concurrent validity with cognitive test measures, while the Dollfus model demonstrated relatively poor psychometrics. The symptom composition of a narrowly defined cognitively disorganized subtype and a more broadly defined cognitively impaired subtype are discussed in terms of their value for schizophrenia research.     

Social cognition in schizophrenia: relationships with neurocognition and negative symptoms

Despite the growing importance of social cognition in schizophrenia, fundamental issues concerning the nature of social cognition in schizophrenia remain unanswered. One issue concerns the strength of the relationships between social cognition and key features of the disorder such as neurocognitive deficits and negative symptoms. The current study employed structural equation modeling to examine three key questions regarding the nature of social cognition in schizophrenia: 1) Are social cognition and neurocognition in schizophrenia better modeled as one or two separate constructs? 2) Are social cognition and negative symptoms in schizophrenia better modeled as one or two separate constructs?, and 3) When social cognition, neurocognition, and negative symptoms are included in a single model, is social cognition more closely related to neurocognition or to negative symptoms? In this cross sectional study, one hundred outpatients with schizophrenia or schizoaffective disorder were administered measures of social cognition, neurocognition, and negative symptoms. A two-factor model that represented social cognition and neurocognition as separate constructs fit the data significantly better than a one-factor model, suggesting that social cognition and neurocognition are distinct, yet highly related, constructs. Likewise, a two-factor model that represented social cognition and negative symptoms as separate constructs fit the data significantly better than a one-factor model, suggesting that social cognition and negative symptoms are distinct constructs. A three-factor model revealed that the relationship between social cognition and neurocognition was stronger than the relationship between social cognition and negative symptoms. The current findings start to provide insights into the structure of social cognition, neurocognition, and negative symptoms in schizophrenia.     

Dimensions of psychopathology in paranoid schizophrenia

Recently, there has been a great deal of interest in understanding the latent organisation of the phenomenology of schizophrenia through examination of the fit of dimensional models to observed symptoms date. A group of 66 DSM-IV paranoid schizophrenic in-patients were assessed three times using the SAPS, SANS, BPRS and PAS. The interrelations between individual symptoms of each scale were examined by means of principal component analysis. The results of factor analysis of the findings from SANS and SAPS confirm the three-factor model, composed of a negative, disorganisation and psychotic factor. Extending the range of symptomatology using BPRS resulted in a five-factor model, composed of the following factors: paranoid, negative, affective, cognitive and disorganised behaviour. In view of the findings based on Strauss’ work (1974) the PAS has been added to the SANS, SAPS and BPRS, whose results were examined by factor analysis. The findings indicate that it is possible to consider a six-factor model, composed of the following dimensions: paranoid, negative, affective, cognitive, disorganised behaviour and premorbid social adjustment deficits. The number of factors that best reflect the structure of the symptomatology of paranoid schizophrenia depends on the range of the symptoms under study, i.e., on the type of scales. It follows from our study that six-factor model appears to be the most suitable and clear model in rendering the multidimensionality of paranoid schizophrenia phenomenology. Received: 19 March 1998 / Accepted: 9 September 1999     

Insight, symptoms, and neurocognition in schizophrenia and schizoaffective disorder

There are conflicting reports in the literature regarding the relationships among impaired insight, symptoms, and neurocognition in schizophrenia. The inconsistent findings likely reflect the multidimensionality of insight in this population, along with variations in study design. We examined 46 individuals with chronic schizophrenia or schizoaffective disorder who were recently discharged from an inpatient unit. Insight was operationalized as awareness of having a mental disorder and awareness and attribution of both current and past symptoms. Positive, negative, disorganized, and depression symptoms were rated, and a neurocognition battery, including measures of visual processing, memory, visuo-spatial ability, and executive functions, was administered. Poor awareness of symptoms was moderately associated with core schizophrenia symptoms, and higher levels of depression were strongly associated with good awareness. Symptom misattribution, more so than symptom unawareness, was associated with deficits in frontal lobe functioning. Finally, different patterns of associations between symptoms, neurocognition, and insight were noted for current symptoms versus past symptoms. The data suggest that insight deficits in schizophrenia are multidimensional, and that investigators should pay careful attention to the choice of measures as well as to phase of illness characteristics in future studies.     

Blunted vocal affect and expression is not associated with schizophrenia: A computerized acoustic analysis of speech under ambiguous conditions

IntroductionPatients with schizophrenia are consistently rated by clinicians as having high levels of blunted vocal affect and alogia. However, objective technologies have often failed to substantiate these abnormalities. It could be the case that negative symptoms are context-dependent.ObjectivesThe present study examined speech elicited under conditions demonstrated to exacerbate thought disorder.MethodsThe Rorschach Test was administered to 36 outpatients with schizophrenia and 25 nonpatient controls. Replies to separate “perceptual” and “memory” phases were analyzed using validated acoustic analytic methods.ResultsCompared to nonpatient controls, schizophrenia patients did not display abnormal speech expression on objective measure of blunted vocal affect or alogia. Moreover, clinical ratings of negative symptoms were not significantly correlated with objective measures.ConclusionsThese findings suggest that in patients with schizophrenia, vocal affect/alogia is generally unremarkable under ambiguous conditions. Clarifying the nature of blunted vocal affect and alogia, and how objective measures correspond to what clinicians attend to when making clinical ratings are important directions for future research.     

Factorial structure of the Scale of Prodromal Symptoms

Data from the Scale of Prodromal Symptoms (SOPS) [Early Intervention in Psychotic Disorders, pp. 135-150] on 94 hitherto never-psychotic individuals were entered into a principal components analysis, revealing six components with an eigenvalue greater than 1.0. Based upon scree-plot analysis, further extractions were limited to three, then two, factors. Varimax rotation of the three-component extraction revealed factors with reasonable congruence with a priori content areas. All symptoms labeled as negative in the SOPS loaded on one factor, and four of five symptoms labeled as positive loaded on another. The remaining positive symptom, conceptual disorganization, has been found not to load with other positive-labeled symptoms in studies of schizophrenia using applicable instruments. All symptoms labeled as "general" in the SOPS loaded on a third factor, which appears to reflect the nonspecific psychological distress that might be expected in psychosis-na?ve individuals experiencing the preliminary stages of a serious psychiatric disorder. The independence of this component from the positive and negative symptom factors suggests that the structure obtained suggests a clinical continuity between the at-risk presentations seen in this sample and established schizophrenia.     

Examining the latent structure of negative symptoms: is there a distinct subtype of negative symptom schizophrenia?

Negative symptoms have emerged as a replicable factor of symptomatology within schizophrenia. Although rating scales provide assessments along dimensions of severity, categorization into a negative symptom subtype is typically conducted. A categorical view of negative symptoms is best reflected in the proposal that enduring, primary negative symptoms, or deficit symptoms, reflect a distinct subtype of schizophrenia . Despite an accumulation of findings that support a categorical conceptualization, the data are also consistent with a dimensional-only model where negative symptom subtypologies simply reflect an extreme on a continuum of severity. Using taxometric statistical methods , the present study examined whether a taxonic, or latent class, model best describes negative symptoms in a sample of 238 schizophrenia patients. In order to obtain more stable estimates of symptoms, ratings on the Scale for the Assessment of Negative Symptoms [Andreasen, N.C., 1982. Negative symptoms in schizophrenia: Definition and reliability. Arch. Gen. Psychiatry 39, 784-788.] were averaged across two assessments over a 6-month period. Two taxometric methods, maximum covariance analysis (MAXCOV) and mean above minus below a cut (MAMBAC) identified a latent class or taxon with a base rate of approximately 28-36%. Members of the negative symptom taxon differed from the nontaxon class in that taxon members were more likely to be male and demonstrated poorer social functioning. Taxon and nontaxon schizophrenia patients did not differ in psychotic or affective symptoms. The findings converge to provide support for a categorical view of negative symptoms. Further research is required to replicate the present taxonic findings and to examine characteristics (including possible etiological factors) associated with this negative symptom taxon.     

Examining the underlying structure of schizophrenic phenomenology: evidence for a three-process model

The present report examined the latent structure of schizophrenic phenomenology. Schizophrenic patient case histories (n = 192) were rated for positive symptoms, negative symptoms, and premorbid social adjustment and the observed covariation among these clinical features was evaluated using a model-based confirmatory factor analytic approach. Our results indicated that schizophrenic phenomenology was best characterized by three distinct underlying structures. These data provide empirical support for Strauss et al.'s (1974) three-process model, which suggests that positive symptoms, negative symptoms, and disordered premorbid personal-social relationships are three distinct classes of phenomenology possibly reflective of three relatively independent pathological processes in schizophrenia. The data are also consistent with Crow's (1980, 1985, 1987) model of schizophrenic symptomatology, differentiating social impairment from both positive and negative symptoms. The heuristic implications of these data for the development of schizophrenia are discussed and the utility of a replication of the present study is noted.     

Evidence for a unique PTSD construct represented by PTSD's D1-D3 symptoms

Two models of posttraumatic stress disorder (PTSD) have received the most empirical support in confirmatory factor analytic studies: King, Leskin, King, and Weathers’ (1998) Emotional Numbing model of reexperiencing, avoidance, emotional numbing and hyperarousal; and Simms, Watson, and Doebbeling's (2002) Dysphoria model of reexperiencing, avoidance, dysphoria and hyperarousal. These models only differ in placement of three PTSD symptoms: sleep problems (D1), irritability (D2), and concentration problems (D3). In the present study, we recruited 252 women victims of domestic violence and tested whether there is empirical support to separate these three PTSD symptoms into a fifth factor, while retaining the Emotional Numbing and Dysphoria models’ remaining four factors. Confirmatory factor analytic findings demonstrated that separating the three symptoms into a separate factor significantly enhanced model fit for the Emotional Numbing and Dysphoria models. These three symptoms may represent a unique latent construct. Implications are discussed.     

Review of Factor Analytic Studies Examining Symptoms of Autism Spectrum Disorders

Factor analytic studies have been conducted to examine the inter-relationships and degree of overlap among symptoms in Autism Spectrum Disorder (ASD). This paper reviewed 36 factor analytic studies that have examined ASD symptoms, using 13 different instruments. Studies were grouped into three categories: Studies with all DSM-IV symptoms, studies with a subset of DSM-IV symptoms, and studies with symptoms that were not specifically based on the DSM-IV. There was consistent support for a common social/communication domain that is distinct from a restricted and repetitive behaviours and interests domain. Implications for symptom conceptualization and diagnosis in ASD are discussed.     

Schizophrenia with prominent catatonic features ('catatonic schizophrenia'). II. Factor analysis of the catatonic syndrome

Previous factor analyses of catatonia have yielded conflicting results for several reasons including small and/or diagnostically heterogeneous samples and incomparability or lack of standardized assessment. This study examined the factor structure of catatonia in a large, diagnostically homogenous sample of patients with chronic schizophrenia using standardized rating instruments. A random sample of 225 Chinese inpatients diagnosed with schizophrenia according to DSM-IV criteria were selected from the long-stay wards of a psychiatric hospital. They were assessed with a battery of rating scales measuring psychopathology, extrapyramidal motor status, and level of functioning. Catatonia was rated using the Bush-Francis Catatonia Rating Scale. Factor analysis using principal component analysis and Varimax rotation with Kaiser normalization was performed. Four factors were identified with Eigenvalues of 3.27, 2.58, 2.28 and 1.88. The percentage of variance explained by each of the four factors was 15.9%, 12.0%, 11.8% and 10.2% respectively, and together they explained 49.9% of the total variance. Factor 1 loaded on "negative/withdrawn" phenomena, Factor 2 on "automatic" phenomena, Factor 3 on "repetitive/echo" phenomena and Factor 4 on "agitated/resistive" phenomena. In multivariate linear regression analysis negative symptoms and akinesia were associated with 'negative' catatonic symptoms, antipsychotic doses and atypical antipsychotics with 'automatic' symptoms, length of current admission, severity of psychopathology and younger age at onset with 'repetitive' symptoms and age, poor functioning and severity of psychopathology with 'agitated' catatonic symptom scores. The results support recent findings that four main factors underlie catatonic signs/symptoms in chronic schizophrenia.     

Structure and correlates of self-reported empathy in schizophrenia

Research on empathy in schizophrenia has relied on dated self-report scales that do not conform to contemporary social neuroscience models of empathy. The current study evaluated the structure and correlates of the recently-developed Questionnaire of Cognitive and Affective Empathy (QCAE) in schizophrenia. This measure, whose structure and validity was established in healthy individuals, includes separate scales to assess the two main components of empathy: Cognitive Empathy (assessed by two subscales) and Affective Empathy (assessed by three subscales). Stable outpatients with schizophrenia (n = 145) and healthy individuals (n = 45) completed the QCAE, alternative measures of empathy, and assessments of clinical symptoms, neurocognition, and functional outcome. Exploratory and confirmatory factor analyses provided consistent support for a two-factor solution in the schizophrenia group, justifying the use of separate cognitive and affective empathy scales in this population. However, one of the three Affective Empathy subscales was not psychometrically sound and was excluded from further analyses. Patients reported significantly lower Cognitive Empathy but higher Affective Empathy than controls. Among patients, the QCAE scales showed significant correlations with an alternative self-report empathy scale, but not with performance on an empathic accuracy task. The QCAE Cognitive Empathy subscales also showed significant, though modest, correlations with negative symptoms and functional outcome. These findings indicate that structure of self-reported empathy is similar in people with schizophrenia and healthy subjects, and can be meaningfully compared between groups. They also contribute to emerging evidence that some aspects of empathy may be intact or hyper-responsive in schizophrenia.     

The relationship of early premorbid adjustment with negative symptoms and cognitive functions in first-episode schizophrenia: A prospective three-year follow-up study

Premorbid adjustment is an important prognostic factor of schizophrenia. The relationships between sub-components of premorbid adjustment and outcomes on symptoms and cognition in first-episode schizophrenia were under-studied. In the current study, we prospectively followed up 93 patients aged 18–55 years presenting with first-episode schizophrenia-spectrum disorder. Psychopathological and cognitive assessments were conducted at baseline, clinical stabilization, 12, 24 and 36 months. Premorbid adjustment was sub-divided into discrete functional domains, developmental stages and premorbid-course types based on ratings of the Premorbid Adjustment Scale (PAS). The study focused on early developmental stages to minimize contamination by prodromal symptoms. Results indicated that gender differences in premorbid functioning were primarily related to early-adolescence adjustment and academic domain. Social domain was more strongly related to negative symptoms, while academic domain was more consistently linked to cognitive outcome (Wisconsin Card Sorting test and verbal fluency). Patients with stable-poor premorbid course had more severe negative symptoms and cognitive impairment. In conclusion, in a Chinese cohort of first-episode schizophrenia-spectrum disorder, sub-components of early premorbid adjustment were shown to be differentially related to clinical and cognitive measures. The results highlighted the importance of applying a more refined delineation of premorbid functioning in studying illness outcome.     

The Latent Structure of Negative Symptoms in Individuals With Attenuated Psychosis Syndrome and Early Psychosis: Support for the 5 Consensus Domains

Negative symptoms are prevalent in the prodromal and first-episode phases of psychosis and highly predictive of poor clinical outcomes (eg, liability for conversion and functioning). However, the latent structure of negative symptoms is unclear in the early phases of illness. Determining the latent structure of negative symptoms in early psychosis (EP) is of critical importance for early identification, prevention, and treatment efforts. In the current study, confirmatory factor analysis was used to evaluate latent structure in relation to 4 theoretically derived models: 1. a 1-factor model, 2. a 2-factor model with expression (EXP) and motivation and pleasure (MAP) factors, 3. a 5-factor model with separate factors for the 5 National Institute of Mental Health (NIMH) consensus development conference domains (blunted affect, alogia, anhedonia, avolition, and asociality), and 4. a hierarchical model with 2 second-order factors reflecting EXP and MAP, as well as 5 first-order factors reflecting the 5 consensus domains. Participants included 164 individuals at clinical high risk (CHR) who met the criteria for a prodromal syndrome and 377 EP patients who were rated on the Brief Negative Symptom Scale. Results indicated that the 1- and 2-factor models provided poor fit for the data. The 5-factor and hierarchical models provided excellent fit, with the 5-factor model outperforming the hierarchical model. These findings suggest that similar to the chronic phase of schizophrenia, the latent structure of negative symptom is best conceptualized in relation to the 5 consensus domains in the CHR and EP populations. Implications for early identification, prevention, and treatment are discussed.     

Disentangling the symptoms of schizophrenia: Network analysis in acute phase patients and in patients with predominant negative symptoms

BackgroundThe Positive and Negative Syndrome Scale (PANSS) is widely used in schizophrenia and has been divided into distinct factors (5-factor models) and subfactors. Network analyses are newer in psychiatry and can help to better understand the relationships and interactions between the symptoms of a psychiatric disorder. The aim of this study was threefold: (a) to evaluate connections between schizophrenia symptoms in two populations of patients (patients in the acutely exacerbated phase of schizophrenia and patients with predominant negative symptoms [PNS]), (b) to test whether network analyses support the Mohr 5 factor model of the PANSS and the Kahn 2 factor model of negative symptoms, and finally (c) to identify the most central symptoms in the two populations.MethodsUsing pooled baseline data from four cariprazine clinical trials in patients with acute exacerbation of schizophrenia (n = 2193) and the cariprazine–risperidone study in patients with PNS (n = 460), separate network analyses were performed. Network structures were estimated for all 30 items of the PANSS.ResultsWhile negative symptoms in patients with an acute exacerbation of schizophrenia are correlated with other PANSS symptoms, these negative symptoms are not correlated with other PANSS symptoms in patients with PNS. The Mohr factors were partially reflected in the network analyses. The two most central symptoms (largest node strength) were delusions and uncooperativeness in acute phase patients and hostility and delusions in patients with PNS.ConclusionsThis network analysis suggests that symptoms of schizophrenia are differently structured in acute and PNS patients. While in the former, negative symptoms are mainly secondary, in patients with PNS, they are mainly primary. Further, primary negative symptoms are better conceptualized as distinct negative symptom dimensions of the PANSS.     

The third biannual winter workshop on schizophrenia. Schladming, Austria, Jan 26-31, 1986

The following general principles seem to summarize the emphasis that was evident from the several days of multiple presentations and discussions. The need exists to continue to develop improvements in the tools applicable to research in psychiatry, both clinical and biological "instruments" that are both sensitive and specific to the questions asked. New molecular genetic technology has already been used to explore genetic susceptibility hypotheses, as well as novel viral associations. Imaging of brain receptor kinetics in vivo is in progress. Improvements in structured clinical rating scales for quantifying changes in biologically important clusters of symptoms (eg, negative vs positive symptoms) or the defining of prodromal symptoms that lead to relapse are critical to progress in etiological and treatment research. A genetic factor or factors for schizophrenia exist, although whether a "familial" type defines only a subgroup of schizophrenia is controversial. The relative importance of genetic vs environmental variables, and whether there is genetic and environmental heterogeneity, continue to be debated. The most important epidemiological data, the seasonality of birth, and the controversial question of geographical variation in prevalence can be clues to the etiology of schizophrenia and are presently being clarified. The pursuit of new treatments and modifications of present conventional treatments to increase the percentage of patients recovering from psychotic illnesses or lead to more complete recovery states is always of prime importance. An emphasis on clarifying the dopamine hypothesis of schizophrenia with PET continues to be at the forefront of psychiatric research. A focus on patients in a first episode of schizophrenia can clarify major issues.(ABSTRACT TRUNCATED AT 250 WORDS)     

Measurement of negative symptoms

The issue of the dimensionality of negative symptoms is addressed. In reference to data reported by Lewine, Fogg, and Meltzer (1983), it is suggested that the nonsignificant correlation between a SADS-C negative symptom scale and a NOSIE negative symptom scale, both independently developed using the Rasch model, is evidence for the multidimensionality of negative symptoms. Additional data supporting the multidimensionality of negative symptoms using confirmatory factor analysis is also discussed (Gibbons et al. 1985). A new theory for the structure of negative symptoms is needed, which specifies the number of dimensions, their classification, and their pattern of intercorrelation.     

Dimensions of major psychoses: a confirmatory factor analysis of six competing models

The symptoms of major psychosis aggregate in factors. Models of one to eight dimensions have been reported. In the present study, we tested six competing factor models, based on the psychotic and affective items of the OPCRIT checklist, in a large sample (N = 1294) of patients diagnosed with DSM-IV schizophrenia (n = 460), bipolar disorder (n = 726) and delusional disorder (n = 108). Confirmatory factor analysis was used to test the following models: (1) unique psychotic dimension; (2) positive-manic items, negative-depressive items; (3) model 2 with the addition of a disorganized factor; (4A) positive, negative, depressive and manic dimensions; (4B) model 4A with loss of pleasure (Anhedonia) and loss of energy (Apathy) included among depressive instead of negative symptoms; and (5) same as model 4B except for the addition of a disorganized domain. The four- and five-factor models fit the data much better than simpler ones. Between the two four-factor models, M4B emerged as more appropriate than M4A. The five-factor solution (M5) displayed the best fit. In conclusion, our confirmatory factor analysis in a large sample of psychotic subjects indicated that the symptomatology of major psychoses is composed of the following five factors: mania, positive symptoms, disorganization, depression and negative symptoms.     

Assessment of Trait and State Aspects of Depression in Schizophrenia

Depression and negative symptoms can be difficult to distinguish in schizophrenia. Assessments for negative symptoms usually account for the longitudinal nature of these symptoms, whereas instruments available to measure depression mainly assess current or recent symptoms. This construct difference may confound comparison of depressive and negative symptoms in schizophrenia because both domains may have trait-like aspects. We developed an instrument to measure both longitudinal “trait” as well as recent “state” symptoms of depression and tested this instrument (Maryland Trait and State Depression [MTSD] scale) in a sample of 98 individuals with schizophrenia or schizoaffective disorder and 115 community participants without psychotic illness. Exploratory factor analysis of the MTSD revealed 2 factors accounting for 73.4% of the variance; these 2 factors corresponded with “trait” and “state” depression inventory items. Neither MTSD-state nor MTSD-trait was correlated with negative symptoms as measured with the Brief Negative Symptom Scale (r = .07 and −.06, respectively) in schizophrenia patients. MTSD state and trait scores were significantly correlated with the Brief Psychiatric Rating Scale depression subscale (r = .58 and .53, respectively) as well as the Profile of Mood States depression subscale (r = .57 and .44). Persons with schizophrenia had significantly greater trait depressive symptoms than controls (P = .031). Individuals with schizoaffective disorder had significantly higher trait depression (P = .001), but not state depression (P = .146), compared with schizophrenia patients. Trait depressive symptoms are prominent in schizophrenia and are distinct from negative symptoms.Key words: BNSS, schizoaffective disorder, symptom domain     

Leukocyte elastase and autoantibodies to nerve growth factor in the acute phase of schizophrenia and their relationship to symptomatology.

Many investigations suggest that abnormalities of the immune system are involved in the pathophysiology of schizophrenia. We recently found increased activity of leukocyte elastase (LE) and elevated levels of autoantibodies to neurospecific protein - nerve growth factor (Aab to NGF) - products of the innate and adaptive arms of the immune system in the serum of patients with acute stage schizophrenia. The aim of this study is to elucidate whether or not the changes of LE activity and Aab to NGF level are related to prominent features of schizophrenia. Patients (n=71) corresponding to ICD-10 criteria for relapse-remitting schizophrenia were assessed by the Positive and Negative Syndrome Scale (PANSS). Patients with predominantly positive symptoms showed significantly elevated serum levels of Aab to NGF compared to patients with predominantly negative symptoms, who were more likely to exhibit the high LE activity. Moreover, progression of positive symptoms was coupled with gradual increase of Aab to NGF level and reduction of LE activity. Based on these findings we conclude that the high levels of Aab to NGF relate to a clinical picture characterised mainly by positive symptoms of schizophrenia, whereas high LE-activities relate to a clinical picture with mainly negative symptoms of schizophrenia.