Predictors of transition to schizophrenia and other long-lasting non-affective psychoses in first-episode patients with acute and transient psychotic disorders: A validation study

Background and objectives Almost half of the individuals with a first-episode of psychosis who initially meet criteria for acute and transient psychotic disorder (ATPD) will have had a diagnostic revision during their follow-up, mostly toward schizophrenia. This study aimed to determine the proportion of diagnostic transitions to schizophrenia and other long-lasting non-affective psychoses in patients with first-episode ATPD, and to examine the validity of the existing predictors for diagnostic shift in this population. Methods We designed a prospective two-year follow-up study for subjects with first-episode ATPD. A multivariate logistic regression analysis was performed to identify independent variables associated with diagnostic transition to persistent non-affective psychoses. This prediction model was built by selecting variables on the basis of clinical knowledge. Results Sixty-eight patients with a first-episode ATPD completed the study and a diagnostic revision was necessary in 30 subjects at the end of follow-up, of whom 46.7% transited to long-lasting non-affective psychotic disorders. Poor premorbid adjustment and the presence of schizophreniform symptoms at onset of psychosis were the only variables independently significantly associated with diagnostic transition to persistent non-affective psychoses. Conclusion Our findings would enable early identification of those inidividuals with ATPD at most risk for developing long-lasting non-affective psychotic disorders, and who therefore should be targeted for intensive preventive interventions. (AU)

Effects of antipsychotics on amino acid levels in patients with first-episode schizophrenia: A prospective study

Background and objectives Alterations in the molecular mechanisms of specific amino acids (AAs) may be implicated in the pathophysiology of schizophrenia (SZ). However, little is known about antipsychotic drugs influence on levels of AAs. This study aimed to further explore antipsychotics' effects on AAs and serum lipid levels in first-episode SZ. Methods Eighty subjects with the International Classification of Diseases, Tenth Edition (ICD-10) criteria-defined SZ were enrolled. The levels of 31 AAs were measured in plasma samples using ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Results Ten AAs (i.e., citrulline, sarcosine, tyrosine, leucine, proline, hydroxyproline, kynurenine, tryptophan, valine and isoleucine) were observed to be higher and three AAs (i.e., GABA, aminobutyric acid and asparaginic acid) were lower in 80 patients with first-episode SZ after various antipsychotics treatment. In addition, there were 1 out of 31 AAs altered after olanzapine treatment and there were only 2 out of 31 AAs altered after risperidone treatment. Furthermore, serum triglyceride (TG) was markedly upregulated after olanzapine treatment, while Apolipoprotein A1 (ApoA1) was generally upregulated after risperidone treatment in patients with first-episode SZ. Conclusions Taken together, antipsychotic treatment can affect the plasma levels of AAs in patients with first-episode SZ, and olanzapine and risperidone have differential effects on the levels of AAs. (AU)

The efficacy of social skills training (SST) and social cognition and interaction training (SCIT) for negative symptoms: A meta-analysis

Background and objectives The efficacy of antipsychotic drugs in improving negative symptoms of schizophrenia remains controversial. Psychological interventions, such as Social Skills Training (SST) and Social Cognition and Interaction Training (SCIT), have been developed and applied in clinical practice. The current meta-analysis was therefore conducted to evaluate the efficacy of controlled clinical trials using SST and SCIT on treating negative symptoms. Methods Systematical searches were carried out on PubMed, Web of Science, and PsycINFO databases. The standardized mean difference (SMD) with 95% confidence intervals (CI) was calculated to assess the effect size of SST/SCIT on negative symptoms. Subgroup and meta-regression analyses were conducted to explore sources of heterogeneity and identify potential factors that may influence their efficacy. Results A total of 23 studies including 1441 individuals with schizophrenia were included. The SST group included 8 studies with 635 individuals, and the SCIT group included 15 studies with 806 individuals. The effect size for the efficacy of SST on negative symptoms was -0.44 (95% CI: -0.60 to -0.28; p < 0.01), while SCIT was -0.16 (95% CI: -0.30 to -0.02; p < 0.01). Conclusions Our findings suggest that while both SST and SCIT can alleviate negative symptoms, the former appears to be more effective. Our results provide evidence-based guidance for the application of these interventions in both hospitalized and community individuals and can help inform the treatment and intervention of individuals with schizophrenia. (AU)

The Genesis of Schizophrenia: An Origin Story.

Schizophrenia is routinely referred to as a neurodevelopmental disorder, but the role of brain development in a disorder typically diagnosed during early adult life is enigmatic. The authors revisit the neurodevelopmental model of schizophrenia with genomic insights from the most recent schizophrenia clinical genetic association studies, transcriptomic and epigenomic analyses from human postmortem brain studies, and analyses from cellular models that recapitulate neurodevelopment. Emerging insights into schizophrenia genetic risk continue to converge on brain development, particularly stages of early brain development, that may be perturbed to deviate from a typical, normative course, resulting in schizophrenia clinical symptomatology. As the authors explicate, schizophrenia genetic risk is likely dynamic and context dependent, with effects of genetic risk varying spatiotemporally, across the neurodevelopmental continuum. Optimizing therapeutic strategies for the heterogeneous collective of individuals with schizophrenia may likely be guided by leveraging markers of genetic risk and derivative functional insights, well before the emergence of psychosis. Ultimately, rather than a focus on therapeutic intervention during adolescence or adulthood, principles of prediction and prophylaxis in the pre- and perinatal and neonatal stages may best comport with the biology of schizophrenia to address the early-stage perturbations that alter the normative neurodevelopmental trajectory.

Genetic predisposition of BDNF (rs6265) gene is susceptible to Schizophrenia: A prospective study and updated meta-analysis / Asociación entre el gen BDNF (rs6265) y predisposición a la esquizofrenia: estudio prospectivo y metaanálisis actualizado

Introduction: Genetic polymorphism in the BDNF gene has been found to cause neuronal alterations and has been identified as a causal factor for many neuropsychiatric disorders. Therefore, various neurological case–control studies and meta-analyses have been conducted to find the possible link between BDNF and susceptibility to schizophrenia. Method: This meta-analysis gathered data from 25 case–control studies including a total of 8384 patients with schizophrenia and 8821 controls in order to identify the relationship between the rs6265 single nucleotide polymorphism and the disease, evaluating the combined odds ratio and 95% confidence intervals under 5 different genetic models. Validation followed the “Leave one out” method, and we used the Egger test and Begg's funnel plot to identify publication bias. Results: Research into the rs6265 (G/A) polymorphism revealed a non-significant association with schizophrenia in all 5 genetic models; in the subgroup analysis, no association was found between white and Asian populations, with a p value > .05. Conclusions: Overall, the updated meta-analysis revealed that rs6265 exonic polymorphisms do not increase susceptibility to this disease. However, to better understand the pathogenesis of the disease, there is a need for further case–control studies into the BDNF polymorphism including larger sample sizes and different ethnic groups.(AU)

Introducción: Se sabe que los polimorfismos del gen BDNF provocan alteraciones neuronales y parecen ser un factor causal en muchos trastornos neuropsiquiátricos. Es por ello que se han llevado a cabo varios metaanálisis y estudios de casos y controles con el objetivo de evaluar la posible relación entre BDNF y la esquizofrenia. Método: Realizamos un metaanálisis de 25 estudios de casos y controles, que incluyó un total de 8.384 pacientes con esquizofrenia y 8.821 controles. Se analizó la relación entre el polimorfismo de nucleótido simple rs6265 y la esquizofrenia mediante odds ratios combinados y sus intervalos de confianza del 95% con 5 modelos genéticos diferentes. Utilizamos el método de validación cruzada dejando uno fuera («leave one out»), la prueba de Egger y el gráfico en embudo de Begg para identificar posibles sesgos de publicación. Resultados: Los estudios sobre el polimorfismo rs6265 (G/A) muestran una asociación no significativa con la esquizofrenia en los 5 modelos genéticos. En el análisis por subgrupos, no se encontró relación con las poblaciones caucásica y asiática (p > 0,05). Conclusiones: La presencia de polimorfismos rs6265 no aumenta la predisposición a desarrollar esquizofrenia. Sin embargo, se deben realizar más estudios de casos y controles sobre polimorfismos de BDNF, con muestras más numerosas y con individuos de diferentes grupos étnicos, para comprender mejor los mecanismos patogénicos de la enfermedad.(AU)

How Do Mental Disorders and Combinations of Disorders Affect the Odds of Injuries and Poisoning?

ABSTRACT: Injuries and poisoning are associated with mental disorders. The association may be stronger if comorbid mental illness is involved. This study explores whether selected mental disorders (stress, anxiety, depression, attention deficit hyperactivity disorder [ADHD], bipolar, obsessive-compulsive disorder [OCD], schizophrenia) are associated with injuries and poisoning and if the presence and frequency of comorbid mental illness affect these associations. Analyses utilize medical claims data for adult employees of a large corporation during 2017-2021. Approximately half or more of the index mental disorders experience comorbid mental illness. Odds of injury and poisoning are significantly greater for each mental disorder and tend to be significantly greater when comorbid mental illness exists ( vs . the mental disorder alone), especially for the associations involving poisoning. Schizophrenia alone and in combination with other mental illness has the strongest associations with injury and poisoning. OCD is only associated with injury and poisoning, and ADHD is only associated with poisoning, if accompanied by comorbid mental illness.

High circulating MIF levels indicate the association with atypical antipsychotic-induced adverse metabolic effects.

Atypical antipsychotics (AAPs) are primary medications for schizophrenia (SZ). However, their use is frequently associated with the development of adverse metabolic effects, and the mechanisms behind these negative effects remain inadequately elucidated. To investigate the role of macrophage migration inhibitory factor (MIF) in regulating antipsychotic-induced metabolic abnormalities, between 2017 and 2020, a cross-sectional study was conducted, involving 142 healthy individuals and 388 SZ patients undergoing treatment with either typical antipsychotic (TAP) or AAP medications. Symptoms of SZ patients were evaluated using the Positive and Negative Syndrome Scale (PANSS), and measurements of metabolic indices and plasma MIF levels were performed on all individuals. A significant increase in plasma MIF levels was observed in groups receiving five major AAP monotherapies in comparison to healthy controls (all p < 0.0001). There was no such increase shown in the group receiving TAP treatment (p > 0.05). Elevated plasma MIF levels displayed a notable correlation with insulin resistance (ß = 0.024, p = 0.020), as well as with the levels of triglycerides (ß = 0.019, p = 0.001) and total cholesterol (ß = 0.012, p = 0.038) in the groups receiving AAPs. However, while the TAP group also displayed certain metabolic dysfunction compared to healthy controls, no significant association was evident with plasma MIF levels (all p > 0.05). In conclusion, plasma MIF levels exhibit a distinctive correlation with metabolic abnormalities triggered by AAPs. Hence, there is potential for further development of MIF as a distinctive marker for monitoring adverse metabolic effects induced by AAPs in clinical settings.

The neglected association between schizophrenia and bone fragility: a systematic review and meta-analyses.

Schizophrenia is associated with increased risk of medical comorbidity, possibly including osteoporosis, which is a public health concern due to its significant social and health consequences. In this systematic review and meta-analysis, we aimed to determine whether schizophrenia is associated with bone fragility. The protocol for this review has been registered with PROSPERO (CRD42020171959). The research question and inclusion/exclusion criteria were developed and presented according to the PECO (Population, Exposure, Comparison, Outcome) framework. Schizophrenia was identified from medical records, DSM-IV/5 or the ICD. The outcomes for this review were bone fragility [i.e., bone mineral density (BMD), fracture, bone turnover markers, bone quality]. A search strategy was developed and implemented for the electronic databases. A narrative synthesis was undertaken for all included studies; the results from eligible studies reporting on BMD and fracture were pooled using a random effects model to complete a meta-analysis. The conduct of the review and reporting of results adhered to PRISMA guidelines. Our search yielded 3103 studies, of which 29 met the predetermined eligibility criteria. Thirty-seven reports from 29 studies constituted 17 studies investigating BMD, eight investigating fracture, three investigating bone quality and nine investigating bone turnover markers. The meta-analyses revealed that people with schizophrenia had lower BMD at the lumbar spine [standardised mean difference (SMD) -0.74, 95% CI -1.27, -0.20; Z = -2.71, p = 0.01] and at the femoral neck (SMD -0.78, 95% CI -1.03, -0.53; Z = -6.18, p ≤ 0.001). Also observed was a higher risk of fracture (OR 1.43, 95% CI 1.27, 1.61; Z = 5.88, p ≤ 0.001). Following adjustment for publication bias, the association between schizophrenia and femoral neck BMD (SMD -0.63, 95% CI -0.97, -0.29) and fracture (OR 1.32, 95% CI 1.28, 1.35) remained. Significantly increased risk of bone fragility was observed in people with schizophrenia. This association was independent of sex, participant number, methodological quality and year of publication.

The effect of education regarding treatment guidelines for schizophrenia and major depressive disorders on psychiatrists' hypnotic medication prescribing behavior: a multicenter study.

BACKGROUND: To examine whether the "Effectiveness of Guideline for Dissemination and Education in psychiatric treatment (EGIUDE)" project affects the rate of prescriptions of hypnotic medication and the type of hypnotic medications prescribed among psychiatrists, for schizophrenia and major depressive disorder in Japan. METHODS: The EGUIDE project is a nationwide prospective study of evidence-based clinical guidelines for schizophrenia and major depressive disorder in Japan. From 2016 to 2021, clinical and prescribing data from patients discharged from hospitals participating in the EGUIDE project were used to examine hypnotic medication prescriptions The prescribing rate of hypnotics and the prescribing rate of each type of hypnotic (benzodiazepine receptor agonist, nonbenzodiazepine receptor agonist, melatonin receptor agonist, and orexin receptor antagonist) were compared among patients who had been prescribed medication by psychiatrists participating in the EGUIDE project and patients who had been prescribed medication by nonparticipating psychiatrists. Multivariate logistic regression analysis was performed to examine the effect of the EGUIDE project on the prescription of hypnotic medications. RESULTS: A total of 12,161 patients with schizophrenia and 6,167 patients with major depressive disorder were included. Psychiatrists participating in the EGUIDE project significantly reduced the rate of prescribing hypnotic medication and benzodiazepine receptor agonists for both schizophrenia (P < 0.001) and major depressive disorder (P < 0.001) patients. CONCLUSION: This is the first study to investigate the educational effects of guidelines for the treatment of psychiatric disorders on psychiatrists in terms of prescribing hypnotic medications to patients. The EGUIDE project may play an important role in reducing hypnotic medication prescription rates, particularly with respect to benzodiazepine receptor agonists. The results suggest that the EGUIDE project may result in improved therapeutic behavior.

Association between genetic variants of GRM7 (rs1396409 and rs9883258) and treatment outcomes in Schizophrenic Egyptian patients.

BACKGROUND AND AIM: This study evaluated the association between rs1396409 and rs9883258 and the risk of schizophrenia (SCZ) and treatment outcomes in Egyptian patients. METHODS: This study included 88 patients with SCZ and 88 healthy controls. Lipid profile was assayed. Genotyping of rs1396409 and rs9883258 polymorphisms was analyzed using real-time PCR. RESULTS: The rs1396409 AG genotype frequency was significantly associated with SCZ risk (p = 0.002). Also, significant increased risk of SCZ was observed under allelic (p = 0.001), dominant (p = 0.001) and overdominant (p = 0.001) genetic model of rs1396409. However, rs9883258 AA genotype revealed nonsignificant association with SCZ. Cases with the rs1396409AG genotype exhibited hypertriglyceridemia (p < 0.001) and hypercholesterolemia (p = 0.001). In total, 72.3% and 74.5% of the cases presented with rs1396409 AG have negative symptoms (p = 0.022) and exhibited poor drug response (p = 0.023), respectively; all cases with rs1396409 GG genotype attempted suicide (p = 0.002) and are drug-free (p = 0.003). SCZ patients with negative symptoms had hypercholesterolemia (p = 0.008) mainly low-density lipoproteins (LDLc) (p = 0.016), and those with cognitive symptoms presented with low level of high-density lipoprotein (HDLc) (p = 0.023). Moreover, the multivariate regression analysis revealed that both rs1396409 G allele and HDLc were predictors of SCZ (p = 0.003 and 0.001, resp.). CONCLUSION: The current study concluded that metabotropic glutamate receptor 7 (GRM7) rs1396409 AG could be a potential biomarker for SCZ diagnosis. It also revealed an independent association between the GRM7 rs1396409 G allele, HDLc and SCZ development.

Changes in cognitive function after a 12-week POWER rehabilitation in older adults with schizophrenia and frailty.

BACKGROUND: The effectiveness of isolated resistance training (RT) on cognitive function among older adults with schizophrenia is insufficiently investigated. This study investigated the effectiveness of 12-weeks POWER rehabilitation, a novel RT regimen, on cognitive function among older patients with schizophrenia and frailty. METHODS: Thirty-two older adults with schizophrenia and frailty were enrolled and randomized to receive either a 12-week, twice weekly POWER rehabilitation, or without add-on training. Cognitive functioning was assessed using mini-mental state examination (MMSE), digit symbol substitution test, color trail task (CTT), and digit span task (DST). Physical performance was assessed by walking speed and hand grip strength. The generalized estimating equations was used to compare pre- and post-training outcome measure between groups. RESULTS: Between-group analysis revealed significant improvement in CTT1 and hand grip strength in the intervention group compared to the controls. Subgroup analyses showed CTT1 performance significantly improved after 12 weeks of POWER rehabilitation in the intervention group (time, p < .001), independent of age, educational level, global cognition, depressive symptoms, and psychotropic medication use. Increased hand grip strength was significantly associated with improved performance in MMSE, CTT1, and DST forward at study endpoint. CONCLUSION: A 12-week POWER rehabilitation for older patients with schizophrenia and frailty is safe and feasible, and may benefit physical and some domains of cognitive functioning.

A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer's disease using resting-state functional network connectivity.

Resting-state functional magnetic resonance imaging (rs-fMRI) has increasingly been used to study both Alzheimer's disease (AD) and schizophrenia (SZ). While most rs-fMRI studies being conducted in AD and SZ compare patients to healthy controls, it is also of interest to directly compare AD and SZ patients with each other to identify potential biomarkers shared between the disorders. However, comparing patient groups collected in different studies can be challenging due to potential confounds, such as differences in the patient's age, scan protocols, etc. In this study, we compared and contrasted resting-state functional network connectivity (rs-FNC) of 162 patients with AD and late mild cognitive impairment (LMCI), 181 schizophrenia patients, and 315 cognitively normal (CN) subjects. We used confounder-controlled rs-FNC and applied machine learning algorithms (including support vector machine, logistic regression, random forest, and k-nearest neighbor) and deep learning models (i.e., fully-connected neural networks) to classify subjects in binary and three-class categories according to their diagnosis labels (e.g., AD, SZ, and CN). Our statistical analysis revealed that FNC between the following network pairs is stronger in AD compared to SZ: subcortical-cerebellum, subcortical-cognitive control, cognitive control-cerebellum, and visual-sensory motor networks. On the other hand, FNC is stronger in SZ than AD for the following network pairs: subcortical-visual, subcortical-auditory, subcortical-sensory motor, cerebellum-visual, sensory motor-cognitive control, and within the cerebellum networks. Furthermore, we observed that while AD and SZ disorders each have unique FNC abnormalities, they also share some common functional abnormalities that can be due to similar neurobiological mechanisms or genetic factors contributing to these disorders' development. Moreover, we achieved an accuracy of 85% in classifying subjects into AD and SZ where default mode, visual, and subcortical networks contributed the most to the classification and accuracy of 68% in classifying subjects into AD, SZ, and CN with the subcortical domain appearing as the most contributing features to the three-way classification. Finally, our findings indicated that for all classification tasks, except AD vs. SZ, males are more predictable than females.

Antipsychotic Medication Continuation vs Taper and Discontinuation in Patients With Schizophrenia and Other Nonaffective Psychotic Disorders.

Schizophrenia is a major mental illness that is managed with long-term antipsychotic medication as a standard of care. Antipsychotic medications, however, are associated with many subjective and objective adverse effects. These adverse effects have driven the study of risk-mitigation strategies such as targeted intermittent therapy and dose reduction and drug discontinuation. Randomized controlled trials (RCTs) of these strategies have been synthesized in meta-analysis; both strategies have been associated with no functional benefits and with an increased risk of relapse. The RCTs, however, have been criticized because, in many, patients were abruptly switched to the target dose or too rapidly tapered, thereby predisposing the RCT to failure of the intervention. Two important RCTs examined gradual individualized dose reduction and discontinuation. One, conducted in first-episode psychosis patients who were free from positive symptoms for 6 months, found that, at 18-month follow-up, dose reduction was associated with a higher risk of relapse (number needed to harm [NNH] = 5) and with no functional benefits. However, after return to routine clinical care, at a 7-year follow-up, the dose reduction group had better functional outcomes and similar clinical outcomes relative to the maintenance treatment group. The other RCT, conducted in patients with relapsing psychosis, found that, at a 2-year follow-up, dose reduction was associated with a higher risk of relapse (NNH = 5) and with no improvements in social, cognitive, quality of life, satisfaction, and other domains. Many large nationwide observational studies have found that antipsychotic discontinuation by patients with first-episode psychosis and schizophrenia is associated with increased relapse, rehospitalization, suicide mortality, cardiovascular mortality, and all-cause mortality. There is also the ethical matter that attempts to identify the few who may benefit from antipsychotic dose reduction and discontinuation may compromise the health and stability of the many who require long-term maintenance treatment.

Association Between Clozapine Exposure and Risk of Hematologic Malignancies in Veterans With Schizophrenia.

Objective: The objective of this study was to examine the relationship between clozapine use and hematologic malignancies, using national administrative data from the United States Veterans Health Administration (VHA).Methods: This case-control study of veterans with schizophrenia matched cases with incident hematologic malignancy to 10 controls without hematologic malignancy by gender, age, and time since first schizophrenia diagnosis from October 1999, the beginning of VHA data archives, to June 2022. Schizophrenia diagnoses were identified using International Classification of Diseases, Ninth Revision, code 295.x and International Statistical Classification of Diseases, Tenth Revision, codes F20.x and F25.x from inpatient hospitalization and outpatient encounter data. Additional inclusion criteria were age 18-85 years, no prior history of malignancy, and at least 1 year of antipsychotic exposure. Clozapine exposure was assessed using 3 metrics: any exposure, years of exposure, and cumulative defined daily doses (DDD). Conditional multivariable logistic regression was used to adjust for nonmatched confounding variables.Results: A total of 2,306 veterans with schizophrenia were identified with an incident diagnosis of hematologic malignancy and matched to 23,043 controls. Any prior clozapine exposure was more commonly observed among cases (5.3%) than controls (4.1%) and was significantly different after adjustment (odds ratio [OR], 1.31; 95% CI, 1.08-1.60). Risk was dose-dependent, where cumulative clozapine exposures from 3,000 to 4,999 DDD (OR, 1.78; 95% CI, 1.13-2.79) and ≥5,000 DDD (OR, 1.81; 95% CI, 1.24-2.64) were significantly associated with malignancy risk. Similarly, clozapine exposure of 5 or more years was associated with malignancy risk (OR, 1.88; 95% CI, 1.43-2.47).Conclusion: Consistent with prior report, this study observed an increased risk of hematologic malignancy associated with clozapine exposure. These findings suggest patients receiving clozapine use, particularly those with long-term use, should be closely monitored for hematologic malignancy.

Cross-cohort replicable resting-state functional connectivity in predicting symptoms and cognition of schizophrenia.

Schizophrenia (SZ) is a debilitating mental illness characterized by adolescence or early adulthood onset of psychosis, positive and negative symptoms, as well as cognitive impairments. Despite a plethora of studies leveraging functional connectivity (FC) from functional magnetic resonance imaging (fMRI) to predict symptoms and cognitive impairments of SZ, the findings have exhibited great heterogeneity. We aimed to identify congruous and replicable connectivity patterns capable of predicting positive and negative symptoms as well as cognitive impairments in SZ. Predictable functional connections (FCs) were identified by employing an individualized prediction model, whose replicability was further evaluated across three independent cohorts (BSNIP, SZ = 174; COBRE, SZ = 100; FBIRN, SZ = 161). Across cohorts, we observed that altered FCs in frontal-temporal-cingulate-thalamic network were replicable in prediction of positive symptoms, while sensorimotor network was predictive of negative symptoms. Temporal-parahippocampal network was consistently identified to be associated with reduced cognitive function. These replicable 23 FCs effectively distinguished SZ from healthy controls (HC) across three cohorts (82.7%, 90.2%, and 86.1%). Furthermore, models built using these replicable FCs showed comparable accuracies to those built using the whole-brain features in predicting symptoms/cognition of SZ across the three cohorts (r = .17-.33, p < .05). Overall, our findings provide new insights into the neural underpinnings of SZ symptoms/cognition and offer potential targets for further research and possible clinical interventions.