Thalamic nuclei volume differences in schizophrenia patients and healthy controls using probabilistic mapping: A comparative analysis.

AIM: We aimed to investigate potential discrepancies in the volume of thalamic nuclei between individuals with schizophrenia and healthy controls. METHODS: The imaging data for this study were obtained from the MCICShare data repository within SchizConnect. We employed probabilistic mapping technique developed by Iglesias et al. (2018). The analytical component entailed volumetric segmentation of the thalamus using the FreeSurfer image analysis suite. Our analysis focused on evaluating the differences in the volumes of various thalamic nuclei groups within the thalami, specifically the anterior, intralaminar, medial, posterior, lateral, and ventral groups in both the right and left thalami, between schizophrenia patients and healthy controls. We employed MANCOVA to analyse these dependent variables (volumes of 12 distinct thalamic nuclei groups), with diagnosis (SCZ vs. HCs) as the main explanatory variable, while controlling for covariates such as eTIV and age. RESULTS: The assumptions of MANCOVA, including the homogeneity of covariance matrices, were met. Specific univariate tests for the right thalamus revealed significant differences in the medial (F[1, 200] = 26.360, p < 0.001), and the ventral groups (F[1, 200] = 4.793, p = 0.030). For the left thalamus, the medial (F[1, 200] = 22.527, p < 0.001); posterior (F[1, 200] = 8.227, p = 0.005), lateral (F[1, 200] = 7.004, p = 0.009), and ventral groups (F[1, 200] = 9.309, p = 0.003) showed significant differences. CONCLUSION: These findings suggest that particular thalamic nuclei groups in both the right and left thalami may be most affected in schizophrenia, with more pronounced differences observed in the left thalamic nuclei. FUNDINGS: The authors received no financial support for the research.

Chronotype influences on posttraumatic stress disorder induced by the twin earthquakes in Turkey: A cross-sectional study among medical students.

This study aimed to investigate the correlation between chronotypes and posttraumatic stress disorder (PTSD) symptoms in medical students affected by earthquakes in Kahramanmaras, Turkey, while elucidating if the PTSD manifestation varies among different chronotypes four months post-disaster. The study encompassed 193 medical students, subjected to the sociodemographic data form, the Morningness-Eveningness Questionnaire (MEQ) and the PTSD Checklist for DSM-5 (PCL-5). The results indicated that students identified as "evening types" reported significantly elevated PCL-5 scores (p < 0.001) relative to "morning" and "intermediate" types. According to PCL-5 scores, 43.5% of the participants exhibited PTSD, with a higher occurrence among the evening types. Multivariable linear regression analysis revealed that lower MEQ scores independently correlated with elevated PTSD symptoms (ß = -0.1389 [95% CI = -0.273 - -0.0048], p = 0.042), suggesting the potential of eveningness as a risk factor for PTSD post-disaster. These findings could enhance our understanding of PTSD, aid the development of preventive strategies, and underscore the importance of considering chronotypes. Further expansive, population-based studies with a longitudinal design are necessary to better understand the relationship between PTSD and the circadian system.

Exploring the "Insight Paradox" in Treatment-Resistant Schizophrenia: Correlations Between Dimensions of Insight and Depressive Symptoms in Patients Receiving Clozapine.

Objective: There remains a lack of clarity as to the possible cross talk of insight into illness and depressive symptoms in treatment-resistant schizophrenia. We therefore set our primary aim to evaluate relationship between insight dimensions and depressive symptoms in patients with treatment-resistant schizophrenia receiving clozapine. Methods: This was a cross-sectional, non-interventional study, conducted in daily clinical practice conditions. Patients in outpatient clinics between March 2020 and May 2020 with treatment-resistant schizophrenia (based on Treatment Response and Resistance in Psychosis), with no comorbid psychiatric disorder, and with no body mass index greater than 40.0 kg/m2 were included. We collected sociodemographic variables, scores of insight dimensions (treatment compliance, illness recognition, and symptom relabeling with the Schedule for Assessment of Insight), and depressive symptoms with Calgary Depression Score for Schizophrenia. Linear regression models were used to investigate variables associated with depressive symptoms as the outcome of interest. Results: The final analysis sample comprised 55 patients with treatment-resistant schizophrenia, with a mean age of 42.48 (SD = 9.18) years and a predominance of the male sex (n = 42, 76.9%). Model 1 [Calgary Depression Score for Schizophrenia ~ (Schedule for Assessment of Insight + Positive and Negative Syndrome Scale)] displayed that 48% of the variation in the Calgary Depression Score for Schizophrenia can be explained by Schedule for Assessment of Insight-composite and Positive and Negative Syndrome Scale-composite (P < .001). More effectively, model 2 [Calgary Depression Score for Schizophrenia ~ (Schedule for Assessment of Insight-illness recognition + Positive and Negative Syndrome Scale-general psychopathology)] revealed that 51% of the variation in the Calgary Depression Score for Schizophrenia can be explained by the sub-scales (P < .001). We further designed a new model in which Global Assessment of Functioning scores were the response variable to explore the link between awareness into illness and functionality (Global Assessment of Functioning ~ Schedule for Assessment of Insight-illness recognition). In this model, awareness of illness did not explain a significant proportion of variance in functionality scores (R 2 = 0.045, F(1,52) = 2.48, P = 0.121). Conclusion: The treatment compliance part of insight was not one of the significant explanatory variables of depressive symptoms, but it explained the variance in functioning, in contrast to the illness recognition dimension of insight. If our findings were replicated in treatment-resistant schizophrenia, they would suggest that promoting treatment compliance dimension of insight instead of recognition of illness could not increase depressive symptoms.

Common Biomarkers Associated with Delirium in Hospitalized Patients with COVID-19 at the Epicentre of Turkish Coronavirus Outbreak: A Case-Control Study.

Introduction: To investigate the differences in biochemical characteristics between Coronavirus Disease 2019 (COVID-19) patients with and without delirium in non-intensive care (IC) COVID-19 units was aimed. Methods: This study was designed as an observational, single-centered, and case-control study consisting of 43 delirious patients and matched 45 non-delirious patients admitted to non-IC COVID-19 units. Delirium was diagnosed by a consultant psychiatrist according to the DSM-5 delirium diagnostic criteria. Independent variables such as laboratory tests at the time of admission, clinical features, and patient characteristics were obtained from electronic medical records by researchers. In the primary analyses, binomial logistic regression models were used to investigate the factors associated with delirium, which was identified as the outcome variable. Multivariate logistic models were then adjusted for potential confounding factors, including age, gender, history of neurocognitive disorders and Charlson Comorbidity Index (CCI). Results: We observed higher levels of urea, d-dimer, troponin-T, proB-type natriuretic peptide, and CCI in patients with delirium compared to patients without delirium. We also observed lower levels of estimated glomerular filtration rate (eGFR), serum albumin, and O2 saturation and a decrease in the length of stay at the hospital. After adjusting for confounding factors such as gender, age, and comorbidity, we found that urea (adjusted estimate=0.015; 95% Confidence Interval [CI]=0.058-0.032, P=0.039), urea/creatinine ratio (adjusted estimate=0.008; 95% CI=0.002-0.013, P=0.011), and troponin-T (adjusted estimate=0.066; 95% CI=0.014-0.118, P=0.014) were independent biomarkers associated with delirium. Conclusion: Delirium is associated with higher urea levels and urea/creatinine ratios in COVID-19 patients. In addition, the relationship between troponin-T and delirium may help understand the potential link between the brain and the heart in COVID-19. Additional multi-centred studies with larger sample sizes are needed to generalise these results.

A study of the relationship between serum uric acid levels and pain in patients with migraine.

Serum uric acid (SUA), the end product of purine metabolism acts as an antioxidant and is related to oxidative stress. It has been reported that SUA may be involved in the pathogenesis of neurodegenerative diseases including Alzheimer disease, Huntington disease, Parkinson disease, and multiple sclerosis. However, studies evaluating SUA levels in migraine are scarce. This study aimed to explore the relationship between pain characteristics and SUA levels in patients with migraine and compare SUA levels in migraine patients during a headache attack and headache-free period with those control groups. This prospective, cross-sectional study included 78 patients with migraine and 78 healthy subjects who were randomly selected from hospital personnel as the control group. Headache characteristics (duration of attack, pain intensity, and headache frequency) and sociodemographic features were recorded. The SUA level was measured once in the control group and twice in the migraine patients, during the migraine attack and headache-free periods. Although the SUA levels of the migraine group in the headache-free period were higher than those of the control group, the difference was not statistically significant. Gender was not significantly related to the change in SUA levels between the attack and headache-free period. When the correlation between age, duration of migraine, frequency, duration, and intensity of pain was evaluated; the difference between SUA levels in female migraine patients was weakly correlated with headache intensity, whereas male patients had a moderate correlation. ( P < .05; R > 0.250, and R > 0.516, respectively). The difference in SUA level in the migraine attack period compared to the headache-free period showing a positive correlation with pain intensity suggested that SUA may have a role in migraine due to its antioxidant role.

Post-COVID-19 Suicide Note: A Case Report of Late Onset Catatonia.

Coronavirus disease 2019 (COVID-19) creates acute and long-lasting infection which results in respiratory, cardiovascular, and neuropsychiatric problems. Etiology of neuropsychiatric manifestations can be associated with immune system response, inflammatory cytokines, and also the stressors which are experienced by patients as feeling the risk of being infected by the virus, economic problems, and social distancing. We aimed to present a case of a 53-year-old patient whose suicide note was found and was admitted with depressive and catatonic symptoms 8 weeks after the recovery from COVID-19. Catatonia was suspected, and he was given lorazepam 1 mg. Shortly thereafter, he was entirely alert, cooperative, and oriented. As an advantage of this case, the patient in our report had not used medications for COVID-19 and so we could exclude the effect of medications to the pathophysiology of post- coronavirus disease symptoms. A wide spectrum of neuropsychiatric manifestations was observed in terms of diagnosis after COVID-19. Catatonia can break out in the post-infectious period as well as in the para-infectious period. There are limitations to figure out the direct invasion of coronavirus and the effect of the systemic inflammation to the central nervous system. Nevertheless, it should be considered that catatonia may be one of the clinical results of COVID-19.