Downregulation of miR-29a as a possible diagnostic biomarker for schizophrenia.

BACKGROUND: MicroRNAs (miRNAs) are epigenetic factors regulating many genes involved in brain development. Dysregulation of miRNA could result in dysregulation of genes which may contribute to diseases affecting the brain and behavior (e.g., schizophrenia). miR-29 family is a miRNA family contributing to brain maturation. miR-29 knockout in animal studies is reported to correlate with psychiatric disorders very similar to those seen in schizophrenia. In this study, we aimed to evaluate the miR-29a level in patients with schizophrenia and its potential value in the diagnosis of schizophrenia. MATERIALS AND METHODS: The serum sample of 42 patients with schizophrenia and 40 healthy subjects were obtained from the Azeri Recent onset/Acute phase psychosis Survey (ARAS) Cohort study. After preparations, the expression level of miR-29a was investigated by real-time PCR. The SPSS and GraphPad prism software were used to analyze the relation between miR-29a level and clinical parameters and its potential as a biomarker for the diagnosis of schizophrenia. RESULTS: Our study showed a significantly lower miR-29a level in patients compared to healthy controls (p = 0.0012). Furthermore, miR-29a level was significantly lower in some types of schizophrenia (p = 0.024). miR-29a level was not related to sex, age, or heredity (p > 0.05). miR-29a also showed 80% specificity and 71.43% sensitivity in the diagnosis of schizophrenia. CONCLUSION: Downregulation of miR-29a in schizophrenia is significantly related to the development of this illness. It might have the potential as a biomarker for schizophrenia.

Validation and optimal cut-off score of the World Health Organization Well-being Index (WHO-5) as a screening tool for depression among patients with schizophrenia.

BACKGROUND: The utility of the World Health Organization Wellbeing Index (WHO-5) as rapid screening tool for depression has not yet been researched in the context of schizophrenia. The goals of this study were twofold: (1) to test the psychometric properties of the WHO-5 in a sample of Arabic-speaking patients with schizophrenia from Lebanon, with particular emphasis on validating the WHO-5 as a screening tool for wellbeing and depression in patients with schizophrenia; and (2) to determine the optimal cut-off point to identify schizophrenia patients with depression. METHODS: Chronic, remitted patients with schizophrenia took part in this cross-sectional study between August and October 2023 (n = 117; mean age of 57.86 ± 10.88 years and 63.3% males). The Calgary Depression Scale for Schizophrenia (CDSS) was included as index of validity. For the validation of the WHO-5 scale, we performed a confirmatory factor analysis (CFA) using the original structure of the scale. To assess the discriminatory validity of the Arabic version of the WHO-5 as a screening tool for depression, we conducted a Receiver operating characteristic (ROC) curve analysis, taking the WHO-5 reversed score against the dichotomized CDSS score at a cut off value of 6. RESULTS: The results of CFA supported the originally proposed unidimensional structure of the measure, with good internal consistency reliability (α = 0.80), concurrent validity, and cross-sex measurement invariance. The WHO-5 showed a sensitivity of 0.8 and a specificity of 0.7 in the detection of depression with a cut-off point of 9.5. The validity of the WHO-5 as a screening tool for depression was supported by the excellent discrimination AUC value of 0.838. Based on this WHO-5 cut-off value, 42.6% of the patients were screened as having a depression. CONCLUSION: The study contributes to the field by showing that the WHO-5 is a concise and convenient self-report measure for quickly screening and monitoring depressive symptoms in patients with schizophrenia. It is therefore highly recommended to apply this cut-off point for screening and follow-up assessments. The current findings will hopefully encourage clinicians and researchers working in Arab settings, who are often confronted with significant time and resource constraints, to start using the WHO-5 to aid their efforts in mitigating depression in this vulnerable population and fostering research in this under-researched area.

Schizophrenia, the very idea: On self-disorder, hyperreflexivity, and the diagnostic concept.

The purpose of the present article is to consider schizophrenia-the very idea-from the perspective of phenomenological psychopathology, with special attention to the problematic nature of the diagnostic concept as well as to the prospect and challenges inherent in focusing on subjective experience. First, we address historical and philosophical topics relevant to the legitimacy of diagnostic categorization-in general and regarding "schizophrenia" in particular. William James's pragmatist approach to categorization is discussed. Then we offer a version of the well-known basic-self or ipseity-disturbance model (IDM) of schizophrenia, but in a significantly revised form (IDMrevised). The revised model better acknowledges the diverse and even seemingly contradictory nature of schizophrenic symptoms while, at the same time, interpreting these in a more unitary fashion via the key concept of hyperreflexivity-a form of exaggerated self-awareness that tends to undermine normal world-directedness and the stability of self-experience. Particular attention is paid to forms of exaggerated "self-presence" that are sometimes neglected yet imbue classically schizophrenic experiences involving subjectivism or quasi-solipsism and/or all-inclusive or ontological forms of paranoia. We focus on the distinctively paradoxical nature of schizophrenic symptomatology. In concluding we consider precursors in the work of Klaus Conrad, Kimura Bin and Henri Grivois. Finally we defend the concept of schizophrenia by considering its distinctive way of altering certain core aspects of the human condition itself.

[Clinical and psychometric characteristics of cognitive and negative disorders in schizophrenia]. / Klinicheskie i psikhometricheskie osobennosti kognitivnykh i negativnykh rasstroistv pri shizofrenii.

OBJECTIVE: To establish the characteristics of clinical manifestations and cognitive tests in patients with schizophrenia, with a predominance of cognitive and negative disorders. MATERIAL AND METHODS: We examined 76 patients, 66 in the main group, 10 in the comparison group, who were treated in Psychiatric Hospital No. 1 and Psychiatric Hospital No. 4 (Moscow). Clinical-psychopathological, psychometric and statistical methods were used. Features of cognitive functioning were studied using the Frontal Assessment Battery (FAB) and the Edinburgh Cognitive and Behavioural Amyotrophic Lateral Sclerosis (ALS) Screen (ECAS). Emotional intelligence scores were assessed using the Ekman Face Emotion Recognition (EFER) test. RESULTS: Patients with schizophrenia showed dominance of one of 3 types of deficit symptoms: cognitive, emotional, and volitional. Cognitive functions were significantly reduced in patients with schizophrenia when compared with the comparison group (mean FAB score (M±SD) 13.44±2.97 in patients with schizophrenia vs. 16.10±1.70 in the comparison group; t=4.10; p<0.001). Cognitive functions were particularly reduced in patients with volitional deficit (mean EFER total score 42.40±9.0 in patients with volitional deficit vs. 47.21±633 in patients with cognitive deficit; t=2.12; p=0.039; mean FAB score 12.83±3.29 in patients with volitional deficit vs. 16.10±1.70 in the comparison group; t=4.24; p<0.001; mean ECAS score specific to ALS 78.80±9.07 in patients with volitional deficit vs. 84.50±6.71 in the comparison group; t=2.18; p=0.034). CONCLUSION: The greatest contribution to the development of cognitive disorders in schizophrenia is made by dysfunction of frontal (especially) and temporal cortex. Executive functions, speech skills and verbal fluency are most severely damaged.

ZO-1 Serum Levels as a Potential Biomarker for Psychotic Disorder.

OBJECTIVE: There are limited studies in the literature on the relationship between intestinal and blood-brain barrier permeability and the etiology of schizophrenia. We hypothesized that the difference in serum ZO-1 levels in patients with schizophrenia may affect the severity of the disease. The aim of this study was to investigate the role of changes in serum ZO-1 concentrations in the etiopathogenesis of patients with schizophrenia. METHODS: A total of 46 patients, 34 with schizophrenia, 12 with a first psychotic attack, and 37 healthy controls, were included in the study. Symptom severity was determined by applying the Positive and Negative Syndrome Scale and the Clinical Global Impression-Severity Scale. Serum ZO-1 levels were measured from venous blood samples. RESULTS: Serum ZO-1 levels were higher in patients with psychotic disorder compared to healthy controls. There was no statistically significant difference between the groups in the first psychotic attack group and the schizophrenia patients. There was a statistically significant positive correlation between serum ZO-1 levels and Positive and Negative Syndrome Scale positive symptom score. CONCLUSIONS: These findings regarding ZO-1 levels suggest that dysregulation of the blood-brain barrier in psychotic disorder may play a role in the etiology of the disorder.

[IPA's clinical expertise in the identification and assessment of somatic pain in schizophrenic patients]. / Expertise clinique de l'IPA PSM dans le repérage et l'évaluation de la douleur somatique chez les personnes schizophrènes.

Identifying and assessing somatic pain in people with schizophrenia remains a major public health issue for this vulnerable population. In France, Advanced Practice Nursing is developing, based on a practice built around clinical expertise. How can the clinical expertise of psychiatric and mental health APNs improve the identification and assessment of somatic pain in these patients, and thus help to improve their somatic health?

Seasonal patterns in Chinese population: Validating the seasonal pattern assessment questionnaire and exploring associations with psychiatric diagnoses and biological rhythms.

Seasonal patterns (SP) exert a notable influence on the course and prognosis of patients with affective disorders, serving as a specifier in diagnosis. However, there is limited exploration of seasonality among psychotic patients, and the distinctions in seasonality among psychiatric patients remain unclear. In this study, we enrolled 198 psychiatric patients with anxiety and depressive disorders (A&D), bipolar disorder (BD), and schizophrenia (SZ), as well as healthy college students. Online questionnaires, including the Seasonal Pattern Assessment Questionnaire (SPAQ) for seasonality, the Morningness and Eveningness Questionnaire-5 (MEQ-5) for chronotypes, and the Pittsburgh Sleep Quality Index (PSQI), were administered. The validity and reliability of the Chinese version of the SPAQ were thoroughly analyzed, revealing a Cronbach's alpha of 0.896 with a two-factor structure. Results indicated that higher seasonality was correlated with poorer sleep quality and a more delayed chronotype (p < 0.05). Significant monthly variations were particularly evident in BD, specifically in mood, appetite, weight, social activities, and sleep dimensions (p < 0.001). In summary, the Chinese version of SPAQ is validated, demonstrating moderate correlations between seasonality, chronotype, and sleep quality. BD patients exhibited the strongest seasonality, while mood disorder patients displayed more delayed chronotypes than SZ.

Linguistic and (micro)cultural differences in the global debate about re-naming 'schizophrenia': A mixed-methods survey from Switzerland.

BACKGROUND AND HYPOTHESIS: This survey explores Swiss mental health professionals', users', and relatives' opinions on re-naming schizophrenia exploiting Switzerland's specific multilingualism to examine possible effects of linguistic and microcultural differences on the issue. STUDY DESIGN: Opinions on 'schizophrenia' were collected using a self-rated online questionnaire incl. Freetext answers available in the three main Swiss languages, German, French and Italian. It was distributed to the main professional and self-help organizations in Switzerland between June and October 2021. STUDY RESULTS: Overall, 449 persons completed the questionnaire, 263 in German, 172 in French and 14 in Italian. Of the total sample, 339 identified as mental health professionals, 81 as relatives and 29 as users. Considering the whole sample, almost half favored a name-change with a significant difference between stakeholder- and between language groups. Also, the name 'schizophrenia' was evaluated more critically than the diagnostic concept. Qualitative analysis of freetext answers showed a highly heterogenous argumentation, but no difference between language groups. CONCLUSIONS: Our results suggest the attitude towards re-naming might itself be subject to (micro)cultural difference, and they highlight the nature of 'schizophrenia' as not only a scientific, but also a linguistic and cultural object. Such local factors ought to be taken into consideration in the global debate.

Integrating Clinical Neuropsychology and Psychotic Spectrum Disorders: A Systematic Analysis of Cognitive Dynamics, Interventions, and Underlying Mechanisms.

Background and Objectives: The study aims to provide a comprehensive neuropsychological analysis of psychotic spectrum disorders, including schizophrenia, bipolar disorder, and depression. It focuses on the critical aspects of cognitive impairments, diagnostic tools, intervention efficacy, and the roles of genetic and environmental factors in these disorders. The paper emphasizes the diagnostic significance of neuropsychological tests in identifying cognitive deficiencies and their predictive value in the early management of psychosis. Materials and Methods: The study involved a systematic literature review following the PRISMA guidelines. The search was conducted in significant databases like Scopus, PsycINFO, PubMed, and Web of Science using keywords relevant to clinical neuropsychology and psychotic spectrum disorders. The inclusion criteria required articles to be in English, published between 2018 and 2023, and pertinent to clinical neuropsychology's application in these disorders. A total of 153 articles were identified, with 44 ultimately included for detailed analysis based on relevance and publication status after screening. Results: The review highlights several key findings, including the diagnostic and prognostic significance of mismatch negativity, neuroprogressive trajectories, cortical thinning in familial high-risk individuals, and distinct illness trajectories within psychosis subgroups. The studies evaluated underline the role of neuropsychological tests in diagnosing psychiatric disorders and emphasize early detection and the effectiveness of intervention strategies based on cognitive and neurobiological markers. Conclusions: The systematic review underscores the importance of investigating the neuropsychological components of psychotic spectrum disorders. It identifies significant cognitive impairments in attention, memory, and executive function, correlating with structural and functional brain abnormalities. The paper stresses the need for precise diagnoses and personalized treatment modalities, highlighting the complex interplay between genetic, environmental, and psychosocial factors. It calls for a deeper understanding of these neuropsychological processes to enhance diagnostic accuracy and therapeutic outcomes.

Assessing past suicidal behaviour in schizophrenia spectrum disorders using the Columbia-Suicide Severity Rating Scale and the Beck Scale for Suicide Ideation: Analysis across the life-span.

Assessing the number of past suicide attempts is vital in clinical and research settings, as it is a significant variable in assessing suicide risk. This study sought to compare the accuracy of the C-SSRS and the BSS in reporting past suicide attempts in schizophrenia spectrum disorders . Six hundred participants were recruited from the Centre for Addiction and Mental Health in Toronto, and completed the BSS and C-SSRS. A medical chart review was performed to determine the number of past suicide attempts. In addition, receiver operating characteristic curves were generated to compare the accuracy of both tests under various stratifications. Based on our findings, there were no significant differences (P = 0.8977) between the BSS and CSSRS in detecting a history of past suicide attempts. The BSS exhibited a sensitivity of 0.847 and a specificity of 0.841, while the C-SSRS had a slightly lower sensitivity of 0.795 and a slightly higher specificity of 0.889. Additionally, repeating the analysis to determine the accuracy of detecting multiple past suicide attempts, the BSS demonstrated a sensitivity of 0.704 and a specificity of 0.959, whereas the C-SSRS had a sensitivity of 0.787 and a specificity of 0.927. We further contrasted the two scales, stratified by different demographic variables such as age and sex. The accuracy of both tools, which is defined as the ability to identify true positive cases while minimizing false positives, increased as age increased, but these differences were not statistically significant. Therefore, both tools show a high level of accuracy in reporting past suicide attempt history and should be utilized to fit the specific needs of the research or clinical teams. These findings can inform clinical practice and future research, highlighting the importance of selecting assessment tools that fit the population's needs and context.

A preliminary metabolomics study of the database for biological samples of schizophrenia among Chinese ethnic minorities.

BACKGROUND: Schizophrenia (SCZ) is a profound mental disorder with a multifactorial etiology, including genetics, environmental factors, and demographic influences such as ethnicity and geography. Among these, the studies of SCZ also shows racial and regional differences. METHODS: We first established a database of biological samples for SCZ in China's ethnic minorities, followed by a serum metabolomic analysis of SCZ patients from various ethnic groups within the same region using the LC-HRMS platform. RESULTS: Analysis identified 47 metabolites associated with SCZ, with 46 showing significant differences between Miao and Han SCZ patients. These metabolites, primarily fatty acids, amino acids, benzene, and derivatives, are involved in fatty acid metabolism pathways. Notably, L-Carnitine, L-Cystine, Aspartylphenylalanine, and Methionine sulfoxide demonstrated greater diagnostic efficacy in Miao SCZ patients compared to Han SCZ patients. CONCLUSION: Preliminary findings suggest that there are differences in metabolic levels among SCZ patients of different ethnicities in the same region, offering insights for developing objective diagnostic or therapeutic monitoring strategies that incorporate ethnic considerations of SCZ.

Serum HMGB1 and Beclin 1 Levels in Patients with a Diagnosis of Schizophrenia. / Sizofreni Tanili Hastalarda Serum HMGB1 ve Beklin 1 Düzeyleri.

OBJECTIVE: It is known that inflammation plays a role in the etiopathogenesis of schizophrenia. In this study, we examined high mobility group box 1 protein (HMGB1) and Beclin 1 levels and their relationship with clinical variables in patients with schizophrenia. METHOD: Forty-three patients with schizophrenia and 43 healthy controls were included in this study. The patients were administered sociodemographic data form, the Positive Negative Symptoms Assessment Scale (PANSS) and the Clinical Global Impressions (CGI) scale. After the scales were filled, venous blood samples were taken from both the patient and control groups to measure serum HMGB1 and Beclin 1 levels. Serum samples obtained at the end of centrifugation were measured by Enzyme-Linked ImmunoSorbent Assay (ELISA) method. RESULTS: The mean serum HMGB1 levels were significantly increased and the mean serum Beclin 1 levels were significantly decreased in the schizophrenia group compared to the control group. In addition, a negative correlation was found between HMGB1 and Beclin 1 levels. CONCLUSION: In conclusion, current research shows that HMGB1 is increased and Beclin 1 is decreased in patients with schizophrenia, and these findings may contribute to the role of autophagy in the pathogenesis of schizophrenia.

PsiOvi Staging Model for Schizophrenia (PsiOvi SMS): A New Internet Tool for Staging Patients with Schizophrenia.

BACKGROUND: One of the challenges of psychiatry is the staging of patients, especially those with severe mental disorders. Therefore, we aim to develop an empirical staging model for schizophrenia. METHODS: Data were obtained from 212 stable outpatients with schizophrenia: demographic, clinical, psychometric (PANSS, CAINS, CDSS, OSQ, CGI-S, PSP, MATRICS), inflammatory peripheral blood markers (C-reactive protein, interleukins-1RA and 6, and platelet/lymphocyte [PLR], neutrophil/lymphocyte [NLR], and monocyte/lymphocyte [MLR] ratios). We used machine learning techniques to develop the model (genetic algorithms, support vector machines) and applied a fitness function to measure the model's accuracy (% agreement between patient classification of our model and the CGI-S). RESULTS: Our model includes 12 variables from 5 dimensions: 1) psychopathology: positive, negative, depressive, general psychopathology symptoms; 2) clinical features: number of hospitalizations; 3) cognition: processing speed, visual learning, social cognition; 4) biomarkers: PLR, NLR, MLR; and 5) functioning: PSP total score. Accuracy was 62% (SD = 5.3), and sensitivity values were appropriate for mild, moderate, and marked severity (from 0.62106 to 0.6728). DISCUSSION: We present a multidimensional, accessible, and easy-to-apply model that goes beyond simply categorizing patients according to CGI-S score. It provides clinicians with a multifaceted patient profile that facilitates the design of personalized intervention plans.

Multiple serum anti-glutamate receptor antibody levels in clozapine-treated/naïve patients with treatment-resistant schizophrenia.

BACKGROUND: Glutamatergic function abnormalities have been implicated in the etiology of treatment-resistant schizophrenia (TRS), and the efficacy of clozapine may be attributed to its impact on the glutamate system. Recently, evidence has emerged suggesting the involvement of immune processes and increased prevalence of antineuronal antibodies in TRS. This current study aimed to investigate the levels of multiple anti-glutamate receptor antibodies in TRS and explore the effects of clozapine on these antibody levels. METHODS: Enzyme linked immunosorbent assay (ELISA) was used to measure and compare the levels of anti-glutamate receptor antibodies (NMDAR, AMPAR, mGlur3, mGluR5) in clozapine-treated TRS patients (TRS-C, n = 37), clozapine-naïve TRS patients (TRS-NC, n = 39), and non-TRS patients (nTRS, n = 35). Clinical symptom severity was assessed using the Positive and Negative Symptom Scale (PANSS), while cognitive function was evaluated using the MATRICS Consensus Cognitive Battery (MCCB). RESULT: The levels of all four glutamate receptor antibodies in TRS-NC were significantly higher than those in nTRS (p < 0.001) and in TRS-C (p < 0.001), and the antibody levels in TRS-C were comparable to those in nTRS. However, no significant associations were observed between antibody levels and symptom severity or cognitive function across all three groups after FDR correction. CONCLUSION: Our findings suggest that TRS may related to increased anti-glutamate receptor antibody levels and provide further evidence that glutamatergic dysfunction and immune processes may contribute to the pathogenesis of TRS. The impact of clozapine on anti-glutamate receptor antibody levels may be a pharmacological mechanism underlying its therapeutic effects.

Theta-burst rTMS in schizophrenia to ameliorate negative and cognitive symptoms: study protocol for a double-blind, sham-controlled, randomized clinical trial.

BACKGROUND: Treatment effects of conventional approaches with antipsychotics or psychosocial interventions are limited when it comes to reducing negative and cognitive symptoms in schizophrenia. While there is emerging clinical evidence that new, augmented protocols based on theta-burst stimulation can increase rTMS efficacy dramatically in depression, data on similar augmented therapies are limited in schizophrenia. The different patterns of network impairments in subjects may underlie that some but not all patients responded to given stimulation locations. METHODS: Therefore, we propose an augmented theta-burst stimulation protocol in schizophrenia by stimulating both locations connected to negative symptoms: (1) the left dorsolateral prefrontal cortex (DLPFC), and (2) the vermis of the cerebellum. Ninety subjects with schizophrenia presenting negative symptoms and aging between 18 and 55 years will be randomized to active and sham stimulation in a 1:1 ratio. The TBS parameters we adopted follow the standard TBS protocols, with 3-pulse 50-Hz bursts given every 200 ms (at 5 Hz) and an intensity of 100% active motor threshold. We plan to deliver 1800 stimuli to the left DLPFC and 1800 stimuli to the vermis daily in two 9.5-min blocks for 4 weeks. The primary endpoint is the change in negative symptom severity measured by the Positive and Negative Syndrome Scale (PANSS). Secondary efficacy endpoints are changes in cognitive flexibility, executive functioning, short-term memory, social cognition, and facial emotion recognition. The difference between study groups will be analyzed by a linear mixed model analysis with the difference relative to baseline in efficacy variables as the dependent variable and treatment group, visit, and treatment-by-visit interaction as independent variables. The safety outcome is the number of serious adverse events. DISCUSSION: This is a double-blind, sham-controlled, randomized medical device study to assess the efficacy and safety of an augmented theta-burst rTMS treatment in schizophrenia. We hypothesize that social cognition and negative symptoms of patients on active therapy will improve significantly compared to patients on sham treatment. TRIAL REGISTRATION: The study protocol is registered at "ClinicalTrials.gov" with the following ID: NCT05100888. All items from the World Health Organization Trial Registration Data Set are registered. Initial release: 10/19/2021.

The evaluation study for social cognition measures in Japan: Psychometric properties, relationships with social function, and recommendations.

AIM: Patients with schizophrenia can have significant subjective difficulties in social cognition, but few undergo testing or treatment for social cognition. The Social Cognition Psychometric Evaluation (SCOPE) study recommends six social cognitive measures; however, the reliability and validity of these measures in different cultural and linguistic areas has not been adequately examined. We examined the psychometric properties of nine social cognitive measures and the relationship to social function, with the aim of determining the level of recommendation for social cognitive measures in clinical practice in Japan. METHODS: For our test battery, an expert panel previously selected nine measures: the Bell Lysaker Emotion Recognition Task (BLERT); Facial Emotion Selection Test (FEST); Hinting Task (Hinting); Metaphor and Sarcasm Scenario Test (MSST); Intentionality Bias Task (IBT); Ambiguous Intentions and Hostility Questionnaire (AIHQ); Social Attribution Task-Multiple Choice (SAT-MC); SAT-MCII; and Biological Motion (BM) task. In total, 121 outpatients with schizophrenia and 70 healthy controls were included in the analysis, and the results were provided to an expert panel to determine the recommendations for each measure. The quantitative psychological indices of each measure were evaluated for practicality, tolerability, test-retest reliability, correlation with social function, and the incremental validity of social function. RESULTS: Hinting and FEST received the highest recommendations for use in screening, severity assessment, and longitudinal assessment, followed by BLERT, MSST AIHQ, SAT-MC, and SAT-MCII, with IBT and BM receiving the lowest recommendations. CONCLUSION: This study provides a uniform assessment tool that can be used in future international clinical trials for social cognitive impairment.

The Swedish version of the Motivation and Pleasure Scale self-report (MAP-SR): psychometric properties in patients with schizophrenia or depression.

PURPOSE: Negative symptoms are commonly regarded as a symptom dimension belonging to schizophrenia spectrum disorders but are also present in depression. The recently developed Clinical Assessment Interview for Negative Symptoms (CAINS) has shown to be reliable and valid. A corresponding self-report questionnaire has also been developed, named the Motivation and Pleasure Scale - Self Report (MAP-SR). The purpose was to evaluate the psychometric properties of the Swedish version of the MAP-SR in patients with either schizophrenia or depression. MATERIALS AND METHODS: The MAP-SR was translated to Swedish. Participants were 33 patients with schizophrenia spectrum disorders and 52 patients with a depressive disorder and they completed the MAP-SR, the CAINS and other measures assessing adjacent psychopathology, functioning and cognition. RESULTS: The internal consistency for the MAP-SR was adequate in both groups (schizophrenia spectrum α = .93, depressive disorder α = .82). Furthermore, the MAP-SR had a large correlation to the motivation and pleasure subscale of the CAINS in patients with schizophrenia disorders (r = -0.75, p < .001), however among patients with depression this correlation was medium-to-large (r = -0.48, p < 0.001). CONCLUSIONS: Findings suggest that the Swedish version of the MAP-SR shows promise as a useful measure of motivation and pleasure, especially in patients with schizophrenia spectrum disorders. Furthermore, results also suggest that the MAP-SR does not assess negative symptoms specifically, but that there is an overlap between depressive and negative symptoms.

Diagnosing schizophrenia using deep learning: Novel interpretation approaches and multi-site validation.

Schizophrenia is a profound and enduring mental disorder that imposes significant negative impacts on individuals, their families, and society at large. The development of more accurate and objective diagnostic tools for schizophrenia can be expedited through the employment of deep learning (DL), that excels at deciphering complex hierarchical non-linear patterns. However, the limited interpretability of deep learning has eroded confidence in the model and restricted its clinical utility. At the same time, if the data source is only derived from a single center, the model's generalizability is difficult to test. To enhance the model's reliability and applicability, leave-one-center-out validation with a large and diverse sample from multiple centers is crucial. In this study, we utilized Nine different global centers to train and test the 3D Resnet model's generalizability, resulting in an 82% classification performance (area under the curve) on all datasets sourced from different countries, employing a leave-one-center-out-validation approach. Per our approximation of the feature significance of each region on the atlas, we identified marked differences in the thalamus, pallidum, and inferior frontal gyrus between individuals with schizophrenia and healthy controls, lending credence to prior research findings. At the same time, in order to translate the model's output into clinically applicable insights, the SHapley Additive exPlanations (SHAP) permutation explainer method with an anatomical atlas have been refined, thereby offering precise neuroanatomical and functional interpretations of different brain regions.