Scale For The Assessment Of Negative Symptoms Research Articles

Shen-based Qigong Exercise improves cognitive impairment in stable schizophrenia patients in rehabilitation wards: a randomized controlled study.

Cognitive impairment is common in chronic schizophrenia patients. The purpose of this study was to explore the efficacy of Shen-based Qigong Exercise (SBQE) in improving the cognitive impairment of stable schizophrenia patients in rehabilitation wards. SBQE is derived from the theory of "body-spirit syncretism (xin shen he yi)" in traditional Chinese medicine (TCM) and is extracted from the four traditional Qigong techniques. In this 12-week, randomized, single-blind, controlled study, a total of 40 schizophrenia patients were randomly assigned to either the SBQE group or the control group. The scores for the Scale for the Assessment of Negative Symptoms (SANS) and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) were recorded at baseline and week 12, respectively. At week 12, the mean RBANS total score was 84.5 points in the SBQE group and 72.8 points in the control group. The estimated mean difference was - 11.60 points (2-sided 95% CI, -22.41 to -0.79; P = 0.04). This difference was statistically significant (time-by-group interaction effect estimates, F(1,38) = 5.07; P = 0.03). Our preliminary findings indicated that SBQE led to an improvement in cognitive impairment in stable schizophrenia patients in rehabilitation wards. Further research with robust design and larger sample sizes is necessary to validate the effects of SBQE on cognitive function and psychiatric symptoms in schizophrenia, thus providing more substantial evidence for the clinical application of SBQE. ClinicalTrials.gov Identifier: NCT05310955 on 22/02/2022; http://www.chictr.org.cn/ Identifier: ChiCTR2200057373 on 10/03/2022.

Clinician-Reported Negative Symptom Scales: A Systematic Review of Measurement Properties.

Negative symptoms of schizophrenia are correlated with reduction of normal function and lower quality of life. They were newly defined by the NIMH-MATRICS Consensus in 2005, dividing the rating tools to assess them into first-generation scales, developed before the Consensus, and second-generation scales, based on the recently introduced definitions. The COnsensus-based Standards for the selection of health Measurement Instrument (COSMIN) guidelines for systematic reviews were used to evaluate the quality of psychometric data of the first-generation scales that cover the 5 negative symptom domains of the NIMHS Consensus: the Scale for the Assessment of Negative Symptoms (SANS), the High Royds Evaluation of Negativity Scale (HEN), and the Negative Symptom Assessment-16 (NSA-16). The search strategy resulted in the inclusion of a total of 13 articles, 7 for the SANS, 4 for the NSA-16, and 2 for the HEN. For the SANS and the NSA-16, the overall results of the scales' measurement properties are mostly insufficient or indeterminate. The quality of evidence for the HEN is poor, due to a small number of validation studies/included patients. After applying the COSMIN guidelines, we do not recommend the usage of these first-generation scales to rate negative symptoms. At the minimum they require further validation.

The relationship between COMT, proline, and negative symptoms in clinical high risk and recent psychosis onset

Individuals at clinical high-risk (CHR) of developing psychosis, as well as patients with recent psychosis onset (RO), experience significant negative symptoms that detrimentally impact daily-life functioning and are associated with poor outcomes, even in those who do not convert to psychosis. Targeting negative symptoms may thus hold promise for the treatment of CHR and RO patients. Building from previous findings we examined whether the catechol-O-methyltransferase (COMT) Val158Met functional polymorphism and fasting peripheral proline concentration predicts the severity of negative symptoms experienced by adolescents and young adults at CHR or those with RO. As hypothesized, the interaction between fasting plasma proline and COMT predicted negative symptoms, as measured via the Scale for the Assessment of Negative Symptoms (SANS) total (n = 50, β = 0.066, adjusted p = 0.007) and global severity scores (n = 50, coefficient = 0.026, adjusted p = 0.003): Higher proline was beneficial for Val/Val subjects, but detrimental to those with the Met allele. In a secondary analysis, the COMT x proline interaction also predicted symptoms measured via the Clinical Assessment Interview for Negative Symptoms (CAINS) total scores (n = 50, β-coefficient = 0.035, adjusted p = 0.044), although this result did not reach the Benjamini-Hochberg’s threshold for significance. Further, there was a trend towards significance for an association with social and interpersonal function (Global Functioning-Social, coefficient = −0.005, adjusted p = 0.055). Negative symptoms are intractable and largely unaddressed by current medications. This study further supports a relationship between peripheral proline and COMT influencing negative symptoms such as anhedonia, in young CHR individuals and those with RO. That higher proline has converse effects on symptoms by COMT may have implications for the development of therapeutics to intervene early and specifically target the interaction pathway.

Development and temporal validation of a clinical prediction model of transition to psychosis in individuals at ultra-high risk in the UHR 1000+ cohort.

The concept of ultra-high risk for psychosis (UHR) has been at the forefront of psychiatric research for several decades, with the ultimate goal of preventing the onset of psychotic disorder in high-risk individuals. Orygen (Melbourne, Australia) has led a range of observational and intervention studies in this clinical population. These datasets have now been integrated into the UHR 1000+ cohort, consisting of a sample of 1,245 UHR individuals with a follow-up period ranging from 1 to 16.7 years. This paper describes the cohort, presents a clinical prediction model of transition to psychosis in this cohort, and examines how predictive performance is affected by changes in UHR samples over time. We analyzed transition to psychosis using a Cox proportional hazards model. Clinical predictors for transition to psychosis were investigated in the entire cohort using multiple imputation and Rubin's rule. To assess performance drift over time, data from 1995-2016 were used for initial model fitting, and models were subsequently validated on data from 2017-2020. Over the follow-up period, 220 cases (17.7%) developed a psychotic disorder. Pooled hazard ratio (HR) estimates showed that the Comprehensive Assessment of At-Risk Mental States (CAARMS) Disorganized Speech subscale severity score (HR=1.12, 95% CI: 1.02-1.24, p=0.024), the CAARMS Unusual Thought Content subscale severity score (HR=1.13, 95% CI: 1.03-1.24, p=0.009), the Scale for the Assessment of Negative Symptoms (SANS) total score (HR=1.02, 95% CI: 1.00-1.03, p=0.022), the Social and Occupational Functioning Assessment Scale (SOFAS) score (HR=0.98, 95% CI: 0.97-1.00, p=0.036), and time between onset of symptoms and entry to UHR service (log transformed) (HR=1.10, 95% CI: 1.02-1.19, p=0.013) were predictive of transition to psychosis. UHR individuals who met the brief limited intermittent psychotic symptoms (BLIPS) criteria had a higher probability of transitioning to psychosis than those who met the attenuated psychotic symptoms (APS) criteria (HR=0.48, 95% CI: 0.32-0.73, p=0.001) and those who met the Trait risk criteria (a first-degree relative with a psychotic disorder or a schizotypal personality disorder plus a significant decrease in functioning during the previous year) (HR=0.43, 95% CI: 0.22-0.83, p=0.013). Models based on data from 1995-2016 displayed good calibration at initial model fitting, but showed a drift of 20.2-35.4% in calibration when validated on data from 2017-2020. Large-scale longitudinal data such as those from the UHR 1000+ cohort are required to develop accurate psychosis prediction models. It is critical to assess existing and future risk calculators for temporal drift, that may reduce their utility in clinical practice over time.

Transcranial direct current stimulation improves tardive dyskinesia in long-term hospitalized patients with chronic schizophrenia

ObjectiveThis study aimed to evaluate the efficacy and safety of transcranial direct current stimulation (tDCS) in chronic schizophrenia patients with tardive dyskinesia (TD) who were long-term hospitalized. MethodsSixty-four inpatients who met the DSM-IV diagnostic criteria for schizophrenia and TD were randomly assigned to either the active (N=35) or sham (N=29) group. Treatment was given 15 times, with each session lasting for 30 min, and an intensity of 2 mA. The anode was placed on the left dorsolateral prefrontal cortex and the cathode on the right supraorbital region. Primary outcome was measured by the changes in Abnormal Involuntary Movements Scale (AIMS) score. Secondary outcomes were measured using the Positive and Negative Syndrome Scale (PANSS) and the Scale for the Assessment of Negative Symptoms (SANS). Adverse effects of tDCS were assessed with an experimenter-administered open-ended questionnaire throughout the experiment. ResultsOf the 64 patients, 52 (81.25%) completed the study. Compared to the sham group, patients in the active group exhibited a significant reduction in both the total AIMS score and the facial-oral subscore (P<0.05). An improvement of at least 30% in total AIMS scores was observed in the active group (14 patients, 50%) compared to the sham group (2 patients, 8.3%) after treatment (P<0.01). There were no between-group differences in the PANSS and SANS total scores. However, there was a significant difference between the two groups in the occurrence of the reported adverse effect of tingling sensation (P<0.05). ConclusionsTDCS may be an effective and safe treatment for improving the facial-oral motor symptoms of TD in chronically hospitalized patients with schizophrenia. SignificanceThis study provides a novel perspective for the clinical treatment of patients with TD.

Overlap between individual differences in cognition and symptoms of schizophrenia

BackgroundNeurocognitive impairment is a core feature of schizophrenia spectrum disorders (SSDs), and the relationship between cognition and symptoms in SSDs has been widely researched. Negative symptoms are related to a wide range of cognitive impairments; however, the aspects of negative symptoms that underpin this relationship have yet to be specified. Study designWe used iterative Constrained Principal Component Analysis (iCPCA) to explore the relationship between 18 cognitive measures (including processing speed, attention, working, spatial and verbal memory and executive functions) and 46 symptoms in schizophrenia at the individual item level while minimizing the risk of Type I errors. ICPCA was conducted on a sample of SSD patients in the early stages of psychiatric treatment (n = 121) to determine the components of cognition overlapping with symptoms measured by the Scale for the Assessment of Negative Symptoms (SANS) and the Scale for the Assessment of Positive Symptoms (SAPS). ResultsWe found that a verbal memory component was associated with items from SANS and SAPS related to impoverished and disorganized emotional communication, language, and thought. In contrast, a working memory component was associated with SANS items related to motor system impoverishment. ConclusionsThe iCPCA allowed us to explore the associations between individual items, optimized to understand the overlap between symptoms and cognition. The specific symptoms linked to verbal and working memory impairments imply distinct brain networks, which further investigation may lead to our deeper understanding of the illness and the development of treatment methods.

A Descriptive Study to Assess the Nursing Care Needs of Schizophrenia Patients Attending OPD in Tertiary Care Mental Health Institute

Background: Schizophrenia is a serious and persistent neurobiological brain disease. It is characterized by disturbances in thought, perception, affect, verbal &amp; motor behaviors, and relationship to the external world. According to WHO, schizophrenia has been estimated that approximately 7 individuals per 1000 will develop during their lifetime. Objectives: The study objectives were to assess the socio-demographic profile and clinical profile, to assess the nursing care needs and to find out the association between selected socio-demographic profile and clinical profile with nursing care needs among Schizophrenia patients. Materials and Methods: Quantitative research approach was used, and descriptive design was adopted. 60 OPD patients were selected by using purposive sampling technique. Self-structured checklist to assess Nursing Care Needs, Assessment of Mental Status and Scale for the Assessment of Negative Symptoms (SANS) were used. Results: Out of 60 participants, 32 were male &amp; 28 were female. 33.3% (f=20) were on occasional follow-up, 20.0% (f=12) were on regular, 31.7% (f=19) were on irregular and 15.0% (f=9) were never went for follow-up care &amp; 58.3% (f=35) were not maintaining regular medication compliance. The findings of nursing care needs assessment showed majority i.e., 50% (f=30) participants had Moderate nursing care needs, 20% (f=12) had High nursing care needs and 30% (f=18) had No significant nursing care need with immediate interventions. Conclusion: The result showed that there was significant association between Nursing care needs of Schizophrenia patients who attending OPD with their age, regularity of follow-up and medication compliance.

The Relationship Between Sexual Dysfunctions With Disease Prolactin and Genetic Polymorphisms in Schizophrenia and Bipolar Disorder Patients Receiving Pharmacotherapy.

The aim of this study is to investigate sexual dysfunctions (SDs) and related factors in patients with schizophrenia and bipolar disorder receiving pharmacotherapy. This study included 111 patients. The Scale for the Assessment of Positive Symptoms (SAPS), the Scale for the Assessment of Negative Symptoms (SANS), and the Calgary Depression Scale for Schizophrenia (CDSS) were applied to the schizophrenia, and the Young Mania Rating Scale (YMRS) and Hamilton Depression Rating Scale (HAM-D) to the bipolar patient group. The sociodemographic data form and the Arizona Sexual Experiences Scale (ASEX) were applied to both of the patient groups. Blood was drawn from all patients to evaluate the indicated gene polymorphisms and evaluate prolactin levels. SD was detected in 45.9% (N = 34) of the schizophrenia group, and 59.5% (N = 22) in the bipolar disorder group. SD was significantly higher in elderly patients and patients with a high smoking amount and low education levels. The eNOS -786T>C T allele frequency was found to be significantly higher in patients with SD. The logistic regression analysis determined that eNOS -786T>C CT and TT genotypes increased the risk of SD. In this study, the high rates of SD in patients with schizophrenia and bipolar disorder, and the presence of modifiable factors that influence the presence of SD, suggest that SD should be given more attention in these patient groups. On the other hand, the high rate of SD in patients with the eNOS -786T>C T allele indicates the importance of carrying out new studies investigating the factors affecting the enzyme activity in this genotype.There is a need for more studies on eNOS genotypes and enzyme activites in this area.

The Effectiveness of Augmenting Modafinil to Risperidone or Olanzapine for Treating Negative Symptoms in Schizophrenic Patients: A Randomized Controlled Trail

Background: Recent evidence suggests the potential efficacy of modafinil in addressing specific symptom domains associated with schizophrenia, particularly negative and cognitive symptoms. However, it's important to note that findings in this area have been inconsistent. Objectives: This study was done to assess the impact of modafinil on improving negative symptoms in schizophrenia patients. Methods: In this clinical trial, 40 individuals diagnosed with schizophrenia and referred to Golestan Hospital were selected. Patients received a daily dose of 100 to 200 mg of modafinil in addition to their ongoing antipsychotic treatment with either Risperidone or Olanzapine. In the control group, patients received a placebo along with their prescribed antipsychotic therapy. The duration of the follow-up was 4 weeks. Both the evaluator and the patients were blinded to the administered medication. The Scale for the Assessment of Negative Symptoms (SANS) was utilized to measure negative symptoms before the intervention, and at 2 and 4 weeks following the intervention. Results: The mean age of participants in the intervention and control groups was 34.00 ± 6.60 and 36.90 ± 6.88 years, respectively. Two weeks after the intervention, the average SANS score was lower in the intervention group compared to the placebo group (99.70 ± 10.24 vs. 111.24 ± 7.08, P = 0.04). At 4 weeks post-intervention, the average SANS score in the intervention group was significantly reduced compared to the placebo group (84.39 ± 3.54 vs. 113.79 ± 3.75, P = 0.002). Conclusions: This study suggests that modafinil may be an effective adjunctive therapy for schizophrenia, particularly for treating anhedonia symptoms.

52 Differences in Neuropsychological Test Performance and Symptom Data in Schizophrenia with Co-Occurring Cannabis Use

Objective:Long-term exposure to the psychoactive ingredient in cannabis, delta-9-tetrahydrocanabinol (THC), has been consistently raised as a notable risk factor for schizophrenia. Additionally, cannabis is frequently used as a coping mechanism for individuals diagnosed with schizophrenia. Cannabis use in schizophrenia has been associated with greater severity of psychotic symptoms, non-compliance with medication, and increased relapse rates. Neuropsychological changes have also been implicated in long-term cannabis use and the course of illness of schizophrenia. However, the impact of co-occurring cannabis use in individuals with schizophrenia on cognitive functioning is less thoroughly explored. The purpose of this meta-analysis was to examine whether neuropsychological test performance and symptoms in schizophrenia differ as a function of THC use status. A second aim of this study was to examine whether symptom severity moderates the relationship between THC use and cognitive test performance among people with schizophrenia.Participants and Methods:Peer-reviewed articles comparing schizophrenia with and without cannabis use disorder (SZ SUD+; SZ SUD-) were selected from three scholarly databases; Ovid, Google Scholar, and PubMed. The following search terms were applied to yield studies for inclusion: neuropsychology, cognition, cognitive, THC, cannabis, marijuana, and schizophrenia. 11 articles containing data on psychotic symptoms and neurocognition, with SZ SUD+ and SZ SUD- groups, were included in the final analyses. Six domains of neurocognition were identified across included articles (Processing Speed, Attention, Working Memory, Verbal Learning Memory, and Reasoning and Problem Solving). Positive and negative symptom data was derived from eligible studies consisting of the Positive and Negative Syndrome Scale (PANSS), the Scale for the Assessment of Positive Symptoms (SAPS), the Scale for the Assessment of Negative Symptoms (SANS), Self-Evaluation of Negative Symptoms (SNS), Brief Psychiatric Rating Scale (BPRS), and Structured Clinical Interview for DSM Disorders (SCID) scores. Meta analysis and meta-regression was conducted using R.Results:No statistically significant differences were observed between SZ SUD+ and SZ SUD-across the cognitive domains of Processing Speed, Attention, Working Memory, Verbal Learning Memory, and Reasoning and Problem Solving. Positive symptom severity was found to moderate the relationship between THC use and processing speed, but not negative symptoms. Positive and negative symptom severity did not significantly moderate the relationship between THC use and the other cognitive domains.Conclusions:Positive symptoms moderated the relationship between cannabis use and processing speed among people with schizophrenia. The reasons for this are unclear, and require further exploration. Additional investigation is warranted to better understand the impact of THC use on other tests of neuropsychological performance and symptoms in schizophrenia.

Efficacy and safety of Transcranial Direct Current Stimulation (tDCS) on cognitive function in chronic schizophrenia with Tardive Dyskinesia (TD): a randomized, double-blind, sham-controlled, clinical trial

ObjectivePrevious studies have shown that transcranial direct current stimulation(tDCS) led to an improvement of cognitive function in patients with schizophrenia, but rare study has explored the effect of tDCS on long-term hospitalized chronic schizophrenia with tardive dyskinesia (TD). The present research explored if cognitive function in patients with long-term hospitalized chronic schizophrenia with TD could be improved through tDCS.MethodsThis study is a randomized, double-blind, sham-controlled clinical trial. Of the 52 patients, 14 dropped out, and 38 completed the experiment. Thirty-eight patients on stable treatment regimens were randomly assigned to receive active tDCS(n = 21) or sham stimulation(n = 17) on weekdays of the first, third, and fifth weeks of treatment. Patients performed the Pattern Recognition Memory (PRM) and the Intra/Extradimensional Set Shift (IED) from the Cambridge Neuropsychological Test Automated Battery (CANTAB) at baseline and the end of week 3, week 5. Clinical symptoms were also measured at the baseline and the fifth week using the Scale for the Assessment of Negative Symptoms (SANS) and the Positive and Negative Syndrome Scale (PANSS). Side effects of tDCS were assessed with an experimenter-administered open-ended questionnaire during the whole experiment.ResultsThere were no significant differences in PRM and IED performance metrics, SANS total score and PANSS total score between active and sham tDCS groups at the end of week 5 (p > 0.05). Furthermore, there was a significant difference in the adverse effects of the tingling sensation between the two groups (p < 0.05), but there was no significant difference in other side effects (p > 0.05).ConclusionAccording to these findings, no evidence supports using anodal stimulation over the left dorsolateral prefrontal cortex to improve cognitive function in patients with long-term hospitalized chronic schizophrenia with TD.

Initial evidence of vowel space reduction in a subset of individuals with schizophrenia.

Acoustic phonetic measures have been found to correlate with negative symptoms of schizophrenia, thus offering a path toward quantitative measurement of such symptoms. These acoustic properties include F1 and F2 measurements (affected by tongue height and tongue forward/back position, respectively), which determine a general "vowel space." Among patients and controls, we consider two phonetic measures of vowel space: average Euclidean distance from a participant's mean F1 and mean F2, and density of vowels around one standard deviation of mean F1 and of F2. Structured and spontaneous speech of 148 participants (70 patients and 78 controls) was recorded and measured acoustically. We examined correlations between the phonetic measures of vowel space and ratings of aprosody obtained using two clinical research measures, the Scale for the Assessment of Negative Symptoms (SANS) and the Clinical Assessment Interview for Negative Symptoms (CAINS). Vowel space measurements were significantly associated with patient/control status, attributed to a cluster of 13 patients whose phonetic values correspond to reduced vowel space as assessed by both phoenetic measures. No correlation was found between phonetic measures and relevant items and averages of ratings on the SANS and CAINS. Reduced vowel space appears to affect only a subset of patients with schizophrenia, potentially those on higher antipsychotic dosages. Acoustic phonetic measures may be more sensitive measures of constricted vowel space than clinical research rating scales of aprosody or monotone speech. Replications are needed before further interpretation of this novel finding, including potential medication effects.

Berberine improves negative symptoms and cognitive function in patients with chronic schizophrenia via anti-inflammatory effect: a randomized clinical trial

BackgroundBased on the neuroinflammation hypothesis in schizophrenia and known anti-inflammatory effects of berberine, the aim of the present study is to investigate the efficacy of berberine in treating negative symptoms and cognitive deficits in adult patients with chronic schizophrenia.MethodsEnrolled participants were randomized to receive berberine or placebo for 3 months. The Scale for the Assessment of Negative Symptoms (SANS), Trail-making Test A (TMT-A), Trail-making Test B (TMT-B), and Hopkins Verbal Learning Test (HVLT) were used to evaluate the negative symptoms and cognitive function at four-time points (baseline, 1st, 2nd, and 3rd month). Serum levels of interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α) were used as inflammatory markers. 106 patients with per-protocol were analyzed, 56 in the experimental (berberine) group and 50 in the control (placebo) group.ResultsFrom baseline to month 3, patients receiving berberine demonstrated a decrease in total scores on clinical scales SANS, TMT-A and TMT-B and showed a serum level reduction of IL-1β, IL-6 and TNF-α comparing with patients in the control group (P < 0.05). There were positive correlations between the change of serum IL-1β level and the change of SANS (r = 0.210, P = 0.039), TMT-A (r = 0.522, P < 0.001), and TMT-B (r = 0.811, P < 0.001); between the change of serum IL-6 level and the change of TMT-A (r = 0.562, P < 0.001), and TMT-B (r = 0.664, P < 0.001); between the change of serum TNF-α level and the change of TMT-B (r = 0.472, P < 0.001) after berberine treatment.ConclusionsBerberine is an anti-inflammatory agent that can potentially mitigate the negative symptoms and cognitive deficits in patients with schizophrenia.

Is there a Relationship Between Caffeine Intake and Smoking and Positive and Negative Symptom Severity in Schizophrenia?

It has been reported that caffeine intake and smoking are more frequent in patients with schizophrenia than the general population. However, the cause of high caffeine and smoking and its correlation with positive and negative symptoms is unclear. Therefore, the aim of the present study is to evaluate the correlation between daily caffeine intake and smoking and the severity of positive and negative symptoms in patients with schizophrenia. This study included 177 participants, 89 of whom were healthy controls and 88 patients with schizophrenia. Scale for the Assessment of Positive Symptoms (SAPS) and Scale for the Assessment of Negative Symptoms (SANS) scales were applied to the patients with schizophrenia to measure the severity of positive and negative symptoms of the disease. The amounts of caffeine and tobacco consumption were significantly higher in the patients group than healthy controls (p=0.001 and p<0.001, respectively). There was no significant correlations between daily caffeine consumption and SAPS or SANS scores in patients with schizophrenia. There was a significant positive relationship between SAPS-delusions score and tobacco consumption. Our study is the first study in the literature that examines the relationship between caffeine and cigarette intake and SANS and SAPS scales in patients with schizophrenia. Although caffeine intake is higher in patients with schizophrenia than healthy controls, this study is valuable as it shows that it is not associated with symptom severity. In addition, although it is known that smoking is high in patients with schizophrenia, this study showed a positive relationship between SAPS-delusion scores and tobacco consumption.

Using support vector machine to explore the difference of function connection between deficit and non-deficit schizophrenia based on gray matter volume.

Schizophrenia can be divided into deficient schizophrenia (DS) and non-deficient schizophrenia (NDS) according to the presence of primary and persistent negative symptoms. So far, there are few studies that have explored the differences in functional connectivity (FC) between the different subtypes based on the region of interest (ROI) from GMV (Gray matter volume), especially since the characteristics of brain networks are still unknown. This study aimed to investigate the alterations of functional connectivity between DS and NDS based on the ROI obtained by machine learning algorithms and differential GMV. Then, the relationships between the alterations and the clinical symptoms were analyzed. In addition, the thalamic functional connection imbalance in the two groups was further explored. A total of 16 DS, 31 NDS, and 38 health controls (HC) underwent resting-state fMRI scans, patient group will further be evaluated by clinical scales including the Brief Psychiatric Rating Scale (BPRS), the Scale for the Assessment of Negative Symptoms (SANS), and the Scale for the Assessment of Positive Symptoms (SAPS). Based on GMV image data, a support vector machine (SVM) is used to classify DS and NDS. Brain regions with high weight in the classification were used as seed points in whole-brain FC analysis and thalamic FC imbalance analysis. Finally, partial correlation analysis explored the relationships between altered FC and clinical scale in the two subtypes. The relatively high classification accuracy is obtained based on the SVM. Compared to HC, the FC increased between the right inferior parietal lobule (IPL.R) bilateral thalamus, and lingual gyrus, and between the right inferior temporal gyrus (ITG.R) and the Salience Network (SN) in NDS. The FC between the right thalamus (THA.R) and Visual network (VN), between ITG.R and right superior occipital gyrus in the DS group was higher than that in HC. Furthermore, compared with NDS, the FC between the ITG.R and the left superior and middle frontal gyrus decreased in the DS group. The thalamic FC imbalance, which is characterized by frontotemporal-THA.R hypoconnectivity and sensory motor network (SMN)-THA.R hyperconnectivity was found in both subtypes. The FC value of THA.R and SMN was negatively correlated with the SANS score in the DS group but positively correlated with the SAPS score in the NDS group. Using an SVM classification method and based on an ROI from GMV, we highlighted the difference in functional connectivity between DS and NDS from the local to the brain network, which provides new information for exploring the neural physiopathology of the two subtypes of schizophrenic.

Using dimensionality-reduction techniques to understand the organization of psychotic symptoms in persistent psychotic illness and first episode psychosis

Psychotic disorders are highly heterogeneous. Understanding relationships between symptoms will be relevant to their underlying pathophysiology. We apply dimensionality-reduction methods across two unique samples to characterize the patterns of symptom organization. We analyzed publicly-available data from 153 participants diagnosed with schizophrenia or schizoaffective disorder (fBIRN Data Repository and the Consortium for Neuropsychiatric Phenomics), as well as 636 first-episode psychosis (FEP) participants from the Prevention and Early Intervention Program for Psychosis (PEPP-Montreal). In all participants, the Scale for the Assessment of Positive Symptoms (SAPS) and Scale for the Assessment of Negative Symptoms (SANS) were collected. Multidimensional scaling (MDS) combined with cluster analysis was applied to SAPS and SANS scores across these two groups of participants. MDS revealed relationships between items of SAPS and SANS. Our application of cluster analysis to these results identified: 1 cluster of disorganization symptoms, 2 clusters of hallucinations/delusions, and 2 SANS clusters (asocial and apathy, speech and affect). Those reality distortion items which were furthest from auditory hallucinations had very weak to no relationship with hallucination severity. Despite being at an earlier stage of illness, symptoms in FEP presentations were similarly organized. While hallucinations and delusions commonly co-occur, we found that their specific themes and content sometimes travel together and sometimes do not. This has important implications, not only for treatment, but also for research—particularly efforts to understand the neurocomputational and pathophysiological mechanism underlying delusions and hallucinations.

Predictors of therapeutic response in schizophrenia – preliminary results

IntroductionSchizophrenia is a heterogenous disease and there is wide variation in the therapeutic response in patients, with some being good responders and others - severely disabled and defined as treatment resistant.ObjectivesTo identify specific socio-demographic and clinical characteristics as prognostic factors for therapeutic response in the search of course prognosis and disease outcome.MethodsThe study has naturalistic, non-interventional design and includes one-year prospective follow-up. Schizophrenic patients are being evaluated in three time points – at admission (T1), by discharge (T2), and one year after the hospitalization (T3). Psychopathology is evaluated by the Positive and Negative Syndrome Scale (PANSS), as well as negative symptoms – by the Scale for the Assessment of Negative Symptoms (SANS), aggression by the Modified Overt Aggression Scale (MOAS) and functioning by the GlobalAssessment of Functioning (GAF). Statistical analyses are performed using Descriptive methods, Student’s t-test, Wilcoxon Signed Ranks Test, as well as multiple regression. An ethical approval of the study has been obtained.ResultsThe sample consists of 108 patients with mean age of 39 (SD±12.7) and 89.8 % (N=97) of them were prospectively assessed after one year. All symptom dimensions in the 5 -factor model – positive, negative, disorganized, manic, and depressive, measured by PANSS, as well as negative symptoms (objectified by SANS) and aggression (objectified by MOAS) are significantly lower after inpatient treatment. There is an improvement in functioning one year after admission (z=-8.01, p&lt;.001), although both negative symptoms (z=-2,45, p=0.015) and aggressive behavior (z=-4.260, p&lt;.001) are significantly higher one year after discharge. From the multiple regression, at T1, involuntary admission is a significant predictor for higher aggression and lower functioning (p&lt;.001). The duration of hospitalization is longer with lower compliance (p=.022) and the treatment with atypical antipsychotics decreases the hospital stay (p=.021). One year after admission, employment serves as a positive predictive factor as it decreases the psychopathology (p=.001), negative symptoms (p&lt;.001), and improves the functioning (p&lt;.001). Good compliance is a predictor for lower psychopathology (p=.015), less aggression and higher functioning (p&lt;.001).ConclusionsThe inpatient treatment is efficacious in terms of psychopathology, aggression and is linked to better functioning. The naturalistic design shows depletion of the positive effects of treatment in terms of negative symptoms and aggression probably due to incomplete medication compliance, which is a bad prognostic factor for functioning. This implies the need of continuous psychosocial services and better psychoeducation after discharge.Disclosure of InterestNone Declared

Longitudinal changes of cognitive function and its relationship with subdomains of negative symptoms in patients with adult-onset first-episode schizophrenia: A 4-year follow up study

BackgroundsThis study explores the longitudinal changes and trajectories of cognitive functions in patients with adult-onset first-episode schizophrenia (FES) over four years and their relationships with the baseline subdomains of negative symptoms. MethodsA total of 177 patients of age 25–55 with FES were recruited. Baseline demographics, clinical, social and cognitive functions were assessed. Diminished expression and diminished motivation of negative symptoms were assessed with Scale for the Assessment of Negative Symptoms (SANS). Patients had yearly follow-up of cognitive function assessments over four years. Latent class growth analysis (LCGA) and mixed linear regression model were used to explore the longitudinal changes of cognitive functions and the effect of baseline negative symptoms on the longitudinal cognitive function changes. Relationships of baseline negative symptoms subdomains and cognitive functions were also explored. ResultsTwo trajectories of cognitive functions were identified. Longitudinal improvements were found in most cognitive functions apart from the logical memory. One trajectory of patients had significant deterioration of logical memory while the other group had significant improvement. Baseline diminished expression was associated with baseline and longitudinal changes of processing speed and verbal fluency while diminished motivation was associated with baseline and longitudinal changes of processing speed. ConclusionsAdult-onset FES patients had a homogeneous longitudinal improvement in most cognitive functions but not for logical memory suggesting the unique nature of verbal memory. The distinct relationship between baseline subdomains of negative symptoms with baseline and longitudinal cognitive functions suggesting the presence of differential overlapping etiology between negative symptom subdomains and cognitive functions.

The Effect of Psychopathology and Cognitive Functions on Caregiver Burden in Patients with Schizophrenia.

The caregiver burden in the relatives of patients with schizophrenia increases mental health problems in patients, complicates coping with the illness for families, and adversely affects the course of the illness. This study aims to investigate the effects of patients' psychopathology severity and cognitive functions on caregiver burden. Forty-four patients diagnosed with schizophrenia according to DSM-5 and their primary caregivers were included in this cross-sectional descriptive study. The severity of the caregiver burden in the relatives of the patients was evaluated using the Zarit Caregiver Burden Scale (ZCBS). Symptom severity of the patients was evaluated with the Scale for the Assessment of Positive Symptoms (SAPS) and the Scale for the Assessment of Negative Symptoms (SANS). Wisconsin Card Sorting Test (WCST), Stroop Test, Trail Making Test (TMT), and Rey Auditory Verbal Learning Test (RAVLT) were applied to assess the cognitive functions of the patients. The mean ZCBS score was 47.7±26.9 in the primary caregivers of the patients. There was a significant negative correlation between ZCBS and patients' education level, time since recent hospitalization, and RAVLT scores, and a significant positive correlation between TMT, Stroop Test, and SANS scores. To reduce the caregiver burden, psychosocial interventions for cognitive dysfunction and negative symptoms involving patients and their families should be considered a priority.

Validity and Reliability Study of Turkish Version of Clinical Assessment Interview for Negative Symptoms (CAINS).

This study aims to translate and investigate the validity and reliability of the Turkish version of the Clinical Assessment Interview for Negative Symptoms (CAINS), which has additional features compared to other scales in assessing negative symptoms in patients with schizophrenia. The Turkish version of CAINS was constructed upon an initial translation to Turkish, and an English back translation of the scale was later conducted. The patients diagnosed with schizophrenia (n=79) according to Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) diagnostic criteria were administered the Turkish version of CAINS, the Positive and Negative Syndrome Scale (PANSS), the Scale for the Assessment of Negative Symptoms (SANS), the Scale for the Assessment of Positive Symptoms (SAPS), the Calgary Depression Scale for Schizophrenia (CDSS), the Clinical Global Impression Scale (CGI), the Global Assessment of Functioning Scale (GAF) and the Simpson-Angus Extrapyramidal Side Effects Assessment Scale (SAS). In addition, two interviewers assessed the video recordings of 11 patients for reliability analysis. Inter-rater reliability was found to be high (intraclass correlation coefficient (ICC): 0.831). Exploratory and confirmatory factor analyses indicated that Cronbach's alpha was 0.956 for the full scale, and the two-dimensional structure explained the scale better. In convergent validity analyses, CAINS overall scores correlated significantly with the SANS total score (r=0,932) and PANSS negative score (r=0,902). In discriminant validity analyses, CAINS overall scores markedly correlated with the SAPS total (r=0,615), PANSS positive (r=0,497) and PANSS general psychopathology (r=0,737) scores. Additionally, when CGI and GAF scores were considered covariant, the significant correlation of CAINS total scores with the SANS total and PANSS negative scores continued; however, the correlation with PANSS positive score was prominently reduced, and the correlation with PANSS general psychopathology disappeared. The Turkish version of the CAINS appears to be a valid and reliable tool with strong psychometric properties in a sample consisting of patients with schizophrenia.