Search Results (106)

There is a growing interest in ToM performance among individuals with psychiatric disorders. However, the difference and the performance level between different diagnoses are unclear. Here, we compared the ToM abilities of schizophrenia (SZ), schizoaffective (SZaff), and borderline personality individuals (BPD) with healthy individuals. Individuals with SZ (n = 44), SZaff (n = 11), BPD (n = 11), and healthy individuals (n = 18) were recruited from Mazor Mental Health Center. All groups underwent the Reading Mind in the Eyes (RME) and the Faux Pas recognition test (FB) to assess TOM ability and completed empathy and autism questionnaires. The current results show that the three diagnostic groups performed worse in the RME and FB test compared to healthy individuals. However, women with BPD performed significantly better in ToM tasks than women with SZ and SZaff. Individuals with schizophrenia and BPD scored higher on the autism spectrum questionnaire, while all the diagnostic groups scored lower on the empathy quotient scale than healthy individuals. Finally, a positive correlation was found between ToM ability and empathy. Strikingly, our findings challenge the ability to use ToM as a differential clinical diagnostic tool, especially among men, and strengthen the correlation between decreased empathy and impaired ToM. Full article

Background/Objectives: The present systematic review analyses the neuroradiological findings in subjects with axis I psychiatric disorders (i.e., bipolar, major depressive, schizophrenic, anxiety, and post-traumatic stress disorders) and comorbid substance use disorder in order to elucidate the organic changes that occur in the brains of people suffering from both conditions. Methods: We analysed and compared the different neuroimaging findings extracted from 93 studies and 10,823 patients; articles were obtained from three databases (Scopus, PubMed [Medline], and the Cochrane Controlled Register of Trials [Central]) and subjected to specific eligibility criteria. We selected articles that assessed patients with axis I psychiatric conditions and a comorbid substance abuse disorder; articles had to report relevant neuroimaging findings and bias was assessed via the Newcastle–Ottawa scale. Results: Significant findings were found on the structure or function of psychiatric patients’ brains with comorbid substance abuse, with certain key areas that were further affected by substance use, especially in areas involved in reward processing, with reductions in volume and connectivity and the augmentation of stimuli-related activity. Conclusions: These results present important implications on the current understanding of psychiatric disorders and comorbid substance use, on the importance of neuroradiological tools in the diagnosis and treatment of these disorders, and on the search for potential new targets for the treatment of psychiatric disease and substance addiction. Full article

Background and Objectives: Research in this area focuses on acute schizophrenia-like psychotic disorder, as more than half of cases progress to a chronic course, manifesting as schizophrenia or schizoaffective disorder. Research has shown a link between viral infection and the onset of psychosis, and the influence of viruses on the clinical course of the disease is also being studied. Consequently, in cases where this type of psychosis co-occurs with a viral illness, there is a compelling rationale for identifying commonalities in both treatment and outcome. The ongoing global pandemic of COVID-19 provides a unique opportunity to assess these changes. The aim of this study is twofold: first, to examine the clinical characteristics of acute schizophrenia-like psychotic disorder in the context of the pandemic, and second, to analyze therapeutic interventions and outcomes. Materials and Methods: A non-invasive observational study was conducted in which 310 patients with acute schizophrenia-like psychotic disorder admitted as inpatients to a psychiatric hospital were divided into two groups according to the presence of COVID-19 (group I—F23.2 with COVID-19): 222 patients; Group II—F23.2 without COVID-19: 88 patients). After discharge, the patients in both groups were clinically followed in outpatient treatment for 36 months. Results: The results showed that acute schizophrenia-like psychotic disorder associated with COVID-19 was characterized by a greater severity of productive symptoms and the inclusion of the pandemic theme in psychotic symptoms. These patients were given higher doses of antipsychotic medication. Conclusions: The outcome of this type of psychosis is consistent, irrespective of the infection suffered at the onset of the disease, and is characterized by a chronic course with a predominant transition to the schizophrenic process. Full article

Time irreversibility, i.e., the lack of invariance of a system under the operation of time reversal, has long attracted the attention of the statistical physics community, and has been shown to be a relevant marker of altered dynamics in many real-world problems. Here, I introduce and analyse the complementary problem of its manipulation. In other words, I ask whether, given a time series, it can be manipulated to achieve desired irreversibility while maintaining its original dynamics. I show how this problem can be tackled using Continuous Ordinal Patterns, a non-linear transformation of a time series based on the local structure created by neighbouring values. I further illustrate the relevance of this problem in the context of brain dynamics, determining that schizophrenic patients and control subjects are characterised by different “distances to irreversibility”. Finally, I discuss some open questions, including the meaning of such manipulation from both theoretical and applied viewpoints. Full article

Readmissions are an indicator of hospital care quality; a high readmission rate is associated with adverse outcomes. This leads to an increase in healthcare costs and quality of life for patients. Developing predictive models for hospital readmissions provides opportunities to select treatments and implement preventive measures. The aim of this study is to develop predictive models for the readmission risk of patients with schizophrenia, combining the particle swarm optimization (PSO) algorithm with machine learning classification algorithms. The database used in the study includes a total of 6089 readmission records of patients with schizophrenia. These records were collected from 11 public hospitals in Castilla and León, Spain, in the period 2005–2015. The results of the study show that the Random Forest algorithm combined with PSO achieved the best results across the evaluated performance metrics: AUC = 0.860, recall = 0.959, accuracy = 0.844, and F1-score = 0.907. The development of these new models contributes to -improving patient care. Additionally, they enable preventive measures to reduce costs in healthcare systems. Full article

The aim of this article is to present a new marker of the degree of self-representation unity, developed from the Rorschach test, to assess the strength or fragility of psychotic patients’ narcissistic foundations. The marker exhibited discriminative value when comparing a group of paranoid subjects (n = 25) to two other groups of schizophrenic (n = 26) and paranoid schizophrenic subjects (n = 30). This indicator also appears useful for assessing the positive effects on the narcissistic Ego in psychotherapy. Full article

Background/Objectives: Patients with schizophrenia have significant challenges in adhering to and complying with oral medicines, resulting in adverse consequences such as symptom worsening and psychotic relapse. Methods: This study aimed to develop clove oil-based bilosomes using definitive screening design (DSD) to maximize the anti-schizophrenic action of clozapine and promote its nose-to-brain delivery. The target was to optimize the physicochemical properties of bilosomes and incorporate them into mucoadhesive intranasal in situ gels, searching for augmented ex vivo and in vivo clozapine delivery. Results: The bilosomes’ particle size was decreased by increasing the span, SDC, and clove oil amounts. In addition to using a high lipid amount, the aforementioned components also helped increase the entrapment efficiency values. Increased zeta potential was only observed by increasing surfactant amount and reducing clozapine concentration. After incorporation of optimized liquid clove oil-based bilosomes, which had a spherical nano-sized vesicular shape, into P 407-dependent gels, an HPMC (2% w/w)/P 407 (20% w/w)-containing formulation (G6) was selected as an optimized gel owing to its acceptable gelation time (13.28 s), gel strength (27.72 s), viscosity (12,766.67 cP), and mucoadhesive strength (4273.93 dyne/cm²). The optimized G6 exhibited higher J_ss (50.86 μg/cm²·h⁻¹) through the nasal mucosa compared to the control gel (23.03 μg/cm²·h⁻¹). Compared to the control gel, G6 displayed higher relative bioavailability (491.37%) than a commercial tablet (264.46%). Following ELISA analysis, dopamine and serotonin were significantly reduced, while BDNF was remarkably increased after administration of optimized G6 into schizophrenic rats. Conclusion: Our study indicates the potential of intranasal bilosomal gels in upgrading the anti-schizophrenic and neuroprotective activity of clozapine. Full article

Background/Objectives: Although rare in the Western world, dog bites may be lethal or lead to physically severe outcomes. However, little attention is given to their psychological consequences. We aimed to review their psychological consequences in children 1–14 years of age, focusing on the prevalence and nature of psychological disorders, evaluating the impact on future mental health of children and their families, and assessing the effectiveness of preventive interventions and measures. Methods: On 23 May 2024, we investigated the PubMed, CINAHL, and PsycINFO/PsycARTICLES databases using (“dog bite” OR animal-induced OR animal-caused) AND (psychol* OR mental OR psychiatr* OR anxiety OR anxious OR depress* OR obsess* OR trauma* OR psychosis OR psychotic OR schizophren* OR schizoaffect*) filtered for ages 0–18 years. This resulted in 311 records, of which 50 were eligible. These included original research, case reports, patient surveys, and reviews/meta-analyses. Results: Findings indicate that younger children are particularly vulnerable, often suffering head/neck bites, leading to severe injuries and psychological distress, with post-traumatic stress disorder (PTSD) being a common outcome. Symptoms such as nightmares, flashbacks, anxiety, and social withdrawal were frequently reported. Positive parental support and timely psychological interventions were found to mitigate these effects. Conclusions: Interdisciplinary approaches integrating education, cognitive restructuring, and behaviour modification are needed to effectively prevent and address the psychological impacts of dog bites. Summarising, dog bites in children result in substantial psychological sequelae, necessitating robust prevention and intervention strategies to improve their quality of life and reduce the risk of chronic mental conditions. Full article

Epidemiological studies and meta-analyses have shown a strong association between high seroprevalence of Toxoplasma gondii (T. gondii) and schizophrenia. Schizophrenic patients showed higher levels of anti-Toxoplasma immunoglobulins M and G (IgM and IgG) when compared to healthy controls. Previously, in a rat model, we demonstrated that the progeny of mothers immunized with T. gondii lysates before gestation had behavioral and social impairments during adulthood. Therefore, we suggested that T. gondii infection can trigger autoreactivity by molecularly mimicking host brain proteins. Here, we aimed to identify the occurrence of antigenic mimicry between T. gondii epitopes and host brain proteins. Using a bioinformatic approach, we predicted T. gondii RH-88 B cell epitopes and compared them to human cell-surface proteins involved in brain development and differentiation (BrainS). Five different algorithms for B-cell-epitope prediction were used and compared, resulting in 8584 T. gondii epitopes. We then compared T. gondii predicted epitopes to BrainS proteins by local sequence alignments using BLASTP. T. gondii immunogenic epitopes significantly overlapped with 42 BrainS proteins. Among these overlapping proteins essential for brain development and differentiation, we identified HSP90 and NOTCH receptors as the proteins most likely to be targeted by the maternally generated pathogenic antibodies due to their topological overlap at the extracellular region of their sequence. This analysis highlights the relevance of pregestational clinical surveillance and screening for potential pathogenic anti-T. gondii antibodies. It also identifies potential targets for the design of vaccines that could prevent behavioral and cognitive impairments associated with pre-gestational T. gondii exposure. Full article

Positive symptoms of schizophrenia have been proposed to be an intrusion of dreaming in wakefulness; conversely, psychotic patients’ abnormal cognitive and behavioral features could overflow into sleep, so that their dreams would differ from those of healthy people. Here we assess this hypothesis by comparing dream features of 46 patients affected by schizophrenic spectrum disorders to those of 28 healthy controls. In patients, we also investigated correlations of dream variables with symptom severity and verbal fluency. Overall, patients reported fewer and shorter dreams, with a general impoverishment of content (including characters, settings, interactions) and higher spatiotemporal bizarreness. The number of emotions, mainly negative ones, was lower in patients’ reports and correlated inversely with symptom severity. Verbal fluency correlated positively with dream report length and negatively with perceptive bizarreness. In conclusion, our data show a significant impoverishment of dream reports in psychotic patients versus controls. Future research should investigate to what extent this profile of results depends on impaired verbal fluency or on impaired mechanisms of dream generation in this population. Moreover, in line with theories on the role of dreaming in emotion regulation, our data suggest that this function could be impaired in psychoses and related to symptom severity. Full article

Glioblastoma (GBM) is a fatal astrocytic glioma with poor prognosis and treatment resistance. Repurposing potential FDA-approved drugs like anti-psychotics can address the concerns in a timely and cost-effective manner. Epidemiological studies have shown that patients with schizophrenic using anti-psychotics have a low incidence of GBM. Therefore, we aimed to investigate the therapeutic potential of atypical anti-psychotic Iloperidone (ILO) alone and in combination with Temozolomide (TMZ) against GBM. The study assessed the growth inhibitory effect of ILO, TMZ, and their combination (ILO + TMZ) on U-87MG and T-98G cell lines using an MTT assay. The drug interaction coefficient (CDI) was determined, and doses with synergistic effects were used for subsequent experiments, including migratory, invasion, and TUNEL assays. The expressions of DRD2, β-catenin, Dvl2, Twist, and Slug were assessed by RTq-PCR, whereas the β-catenin protein expression was also determined by immunocytochemistry. ILO (p < 0.05) and TMZ (p < 0.01) significantly inhibited the growth of U-87MG cells at all tested doses. The combination of 60 µM of both drugs showed synergistic activity with CDI < 1. The inhibition of migration and apoptosis was more pronounced in the case of combination treatment (p < 0.001). Inhibition of the invading cells was also found to be significant in ILO- and combination-treated groups (p < 0.001). ILO and combination treatment also significantly downregulated the expression of DRD2, while TMZ upregulated the expression (p < 0.001). The expressions of β-catenin (p < 0.001), Dvl2 (p < 0.001), Twist (p < 0.001), and Slug (p < 0.001) were also significantly downregulated in all treatment groups as compared to the vehicle control. The data suggest that ILO possesses strong growth inhibitory activity, possibly due to its effect on DRD2 and β-catenin expression and has the potential to be repurposed against GBM. Full article

The protozoan parasite, Toxoplasma gondii, has been linked to several psychiatric disorders, including schizophrenia. The aim of this study was to assess the prevalence of T. gondii IgG antibodies and risk factors associated with seroprevalence in patients diagnosed with schizophrenia. This seroepidemiological study assessed 196 participants, divided into two groups. The study group consisted of 98 schizophrenic patients and was matched with 98 healthy blood donors. A questionnaire was used to gather information regarding potential risk factors associated with T. gondii seroprevalence. Results revealed a higher seroprevalence of T. gondii IgG antibodies in schizophrenic patients (69.39%, 68/98) when compared to healthy controls (51.02%, 50/98) (OR: 2.18; 95% CI: 1.21–3.9; p = 0.01). Patients with schizophrenia who consumed raw or undercooked meat (80.65%, 25/31) (OR: 3.75; 95% CI: 1.25–11.21, p = 0.02) and those with a lower educational level (77.59%, 45/58) (OR: 3.5; 95% CI: 1.59–7.54, p = 0.002) presented increased T. gondii seropositivity rates versus their control counterparts. Our findings indicate a high T. gondii IgG seroprevalence in patients diagnosed with schizophrenia compared to healthy blood donors. Factors associated with T. gondii seroprevalence were consumption of raw or uncooked meat and a lower educational attainment. This study provided the first data regarding the potential risk factors for toxoplasmosis in Romanian patients diagnosed with schizophrenia and may serve as a foundation for future research and the development of preventive strategies. Full article

Electroencephalography (EEG) signals can be used as a neuroimaging indicator to analyze brain-related diseases and mental states, such as schizophrenia, which is a common and serious mental disorder. However, the main limiting factor of using EEG data to support clinical schizophrenia diagnosis lies in the inadequacy of both objective characteristics and effective data analysis techniques. Random matrix theory (RMT) and its linear eigenvalue statistics (LES) can provide an effective mathematical modeling method for exploring the statistical properties of non-stationary nonlinear systems, such as EEG signals. To obtain an accurate classification and diagnosis of schizophrenia, this paper proposes a LES-based deep learning network scheme in which a series of random matrixes, consisting of EEG data sliding window sampling and their eigenvalues, are employed as features for deep learning. Due to the fact that the performance of the LES-based scheme is sensitive to the LES’s test function, the proposed LES-based deep learning network is embedded with two ways of combining LES’s test functions with learning techniques: the first is to have the LES’s test function assigned, while, using the second way, the optimal LES’s test function should be solved in a functional optimization problem. In this paper, various test functions and different optimal learning methods were coupled in experiments. Our results revealed a binary classification accuracy of nearly 90% in distinguishing between healthy controls (HC) and patients experiencing the first episode of schizophrenia (FES). Additionally, we achieved a ternary classification accuracy of approximately 70% by including clinical high risk for psychosis (CHR). The LES-embedded approach yielded notably higher classification accuracy compared to conventional machine learning methods and standard convolutional neural networks. As the performance of schizophrenia classification is strongly influenced by test functions, a functional optimization problem was proposed to identify an optimized test function, and an approximated parameter optimization problem was introduced to limit the search area of suitable basis functions. Furthermore, the parameterization test function optimization problem and the deep learning network were coupled to be synchronously optimized during the training process. The proposal approach achieved higher classification accuracy rates of 96.87% between HC and FES, with an additional 89.06% accuracy when CHR was included. The experimental studies demonstrated that the proposed LES-based method was significantly effective for schizophrenic EEG data classification. Full article

Schizophrenia is traditionally associated with the presence of psychotic symptoms. In addition to these, cognitive symptoms precede them and are present during the entire course of the schizophrenia process. The present study aims to establish the relationship between working memory (short-term memory and attention), the features of the clinical picture, and the course of the schizophrenic process, gender distribution and resistance to treatment. Methods: In total, 105 patients with schizophrenia were observed. Of these, 66 were women and 39 men. Clinical status was assessed using the Positive and Negative Syndrome Scale (PANSS), Brief Psychiatric Rating Scale (BPRS), Dimensional Obsessive–Compulsive Symptom Scale (DOCS), scale for dissociative experiences (DES) and Hamilton Depression Rating Scale (HAM-D)—cognitive functions using the Luria 10-word test with fixation assessment, reproduction and attention analysis. The clinical evaluation of resistance to the treatment showed that 45 patients were resistant to the ongoing medical treatment and the remaining 60 had an effect from the therapy. Results: Our study showed that, in most patients, we found disorders of working memory and attention. In 69.82% of the patients, we found problems with fixation; in 38.1%, problems with reproduction; and in 62.86%, attention disorders. Conducting a regression analysis showed that memory and attention disorders were mainly related to the highly disorganized symptoms scale, the duration of the schizophrenic process and the dissociation scale. It was found that there was a weaker but significant association between the age of onset of schizophrenia and negative symptoms. In the patients with resistant schizophrenia, much greater violations of the studied parameters working memory and attention were found compared to the patients with an effect from the treatment. Conclusion: Impairments in working memory and attention are severely affected in the majority of patients with schizophrenia. Their involvement is most significant in patients with resistance to therapy. Factors associated with the highest degree of memory and attention impairment were disorganized symptoms, duration of schizophrenia, dissociative symptoms and, to a lesser extent, onset of illness. This analysis gives us the right to consider that the early and systematic analysis of cognition is a reliable marker for tracking both clinical dynamics and the effect of treatment. Full article

Objective: this study aims to comprehensively compare neuropsychological, psychopathological, anthropometric, biochemical, pharmacological, and lifestyle variables between 27 male schizophrenic patients (SZ group) and 30 age- and sex-matched healthy male controls (HC group). Methods: participants underwent a battery of neuropsychological tests including the Trail Making Test (TMT), Stroop Color-Word Interference Test, and Verbal Fluency Test. Psychopathological symptoms in the SZ group were evaluated using the Positive and Negative Syndrome Scale (PANSS). Anthropometric measurements such as body weight, height, BMI, and waist circumference were taken. Biochemical markers measured included fasting glucose, total cholesterol, triglycerides, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, and fasting insulin. Lifestyle factors were assessed through a questionnaire for the study of views and eating habits of people aged 16 to 65. Results: the HC group outperformed the SZ group in the TMT_A test and the Stroop test, but no significant differences were observed in the TMT_B test or in phonemic fluency tests. No correlation was found between age and PANSS scores within the SZ group. Anthropometrically, the SZ group had higher body weight, waist circumference, and BMI, with no difference in height. Biochemically, the HC group had higher HDL cholesterol levels but lower insulin and insulin resistance indices. Pharmacological assessment showed a more significant impact on body weight among SZ patients taking second-generation antipsychotics. Lifestyle factors such as diet and screen time were comparable between groups, but the SZ group reported longer sleep duration and lower leisure time activity. Conclusions: our study highlights distinct neuropsychological, pharmacological, anthropometric, and biochemical differences between male schizophrenic patients and healthy controls. The results underscore the complexity of schizophrenia and point toward the need for a multi-faceted approach to its management and understanding. Full article