Unsupervised deep learning with convolutional neural networks for static parallel transmit design: A retrospective study.

PURPOSE: To mitigate B 1 + $$ {B}_1^{+} $$ inhomogeneity at 7T for multi-channel transmit arrays using unsupervised deep learning with convolutional neural networks (CNNs). METHODS: Deep learning parallel transmit (pTx) pulse design has received attention, but such methods have relied on supervised training and did not use CNNs for multi-channel B 1 + $$ {B}_1^{+} $$ maps. In this work, we introduce an alternative approach that facilitates the use of CNNs with multi-channel B 1 + $$ {B}_1^{+} $$ maps while performing unsupervised training. The multi-channel B 1 + $$ {B}_1^{+} $$ maps are concatenated along the spatial dimension to enable shift-equivariant processing amenable to CNNs. Training is performed in an unsupervised manner using a physics-driven loss function that minimizes the discrepancy of the Bloch simulation with the target magnetization, which eliminates the calculation of reference transmit RF weights. The training database comprises 3824 2D sagittal, multi-channel B 1 + $$ {B}_1^{+} $$ maps of the healthy human brain from 143 subjects. B 1 + $$ {B}_1^{+} $$ data were acquired at 7T using an 8Tx/32Rx head coil. The proposed method is compared to the unregularized magnitude least-squares (MLS) solution for the target magnetization in static pTx design. RESULTS: The proposed method outperformed the unregularized MLS solution for RMS error and coefficient-of-variation and had comparable energy consumption. Additionally, the proposed method did not show local phase singularities leading to distinct holes in the resulting magnetization unlike the unregularized MLS solution. CONCLUSION: Proposed unsupervised deep learning with CNNs performs better than unregularized MLS in static pTx for speed and robustness.

Large-scale 3D non-Cartesian coronary MRI reconstruction using distributed memory-efficient physics-guided deep learning with limited training data.

OBJECT: To enable high-quality physics-guided deep learning (PG-DL) reconstruction of large-scale 3D non-Cartesian coronary MRI by overcoming challenges of hardware limitations and limited training data availability. MATERIALS AND METHODS: While PG-DL has emerged as a powerful image reconstruction method, its application to large-scale 3D non-Cartesian MRI is hindered by hardware limitations and limited availability of training data. We combine several recent advances in deep learning and MRI reconstruction to tackle the former challenge, and we further propose a 2.5D reconstruction using 2D convolutional neural networks, which treat 3D volumes as batches of 2D images to train the network with a limited amount of training data. Both 3D and 2.5D variants of the PG-DL networks were compared to conventional methods for high-resolution 3D kooshball coronary MRI. RESULTS: Proposed PG-DL reconstructions of 3D non-Cartesian coronary MRI with 3D and 2.5D processing outperformed all conventional methods both quantitatively and qualitatively in terms of image assessment by an experienced cardiologist. The 2.5D variant further improved vessel sharpness compared to 3D processing, and scored higher in terms of qualitative image quality. DISCUSSION: PG-DL reconstruction of large-scale 3D non-Cartesian MRI without compromising image size or network complexity is achieved, and the proposed 2.5D processing enables high-quality reconstruction with limited training data.

Anxiety and depression among patients with familial Mediterranean fever.

BACKGROUND: Familial Mediterranean fever (FMF) is a systemic autoinflammatory disease that requires lifelong treatment and is associated with several comorbidities, including mental health disorders such as anxiety and depression. FMF and mental health necessitate further research; hence, this study aims to observe anxiety and depression and their relationship with several variables in patients with FMF. METHODS: As the study population, 360 FMF patients were surveyed between June and October 2022. Surveys included inventories assessing anxiety and depression, i.e., the Beck's Depression Inventory (BDI), the Beck's Anxiety Inventory (BAI), and the State-Trait Anxiety Inventory (STAI). RESULTS: Mean scores for STAI-Y1 (state), STAI-Y2 (trait), BAI, and BDI were 42.2 ± 12.0, 45.9 ± 10.6, 24.0 ± 13.9, and 13.1 ± 8.99, respectively. Medication-adherent patients had significantly lower scores on STAI-Y1 (41.5 ± 11.4 vs. 45.2 ± 14.0; p-value: 0.04). M694V homozygous patients exhibited significantly lower scores in the BDI (12.4 ± 9.37 vs. 13.2 ± 8.93; p-value: < 0.001) and BAI (17.0 ± 12.1 vs. 25.1 ± 13.9; p-value: 0.001). The patients with an exon-10 mutation demonstrated significantly lower scores compared to patients with an exon­2 mutation (17.9 ± 12.3, 29.6 ± 13.3; p-value: < 0.001). CONCLUSION: The patients with FMF had mild depression and moderate anxiety scores. A higher level of education and medication adherence were associated with lower levels of anxiety. Likewise, the patients with genotypes associated with severe disease courses had lower levels of anxiety. We suggest that physicians should be more attentive to patients with a milder disease course and ensure that these patients are provided with sufficient treatment and knowledge about their disease.

Signal intensity informed multi-coil encoding operator for physics-guided deep learning reconstruction of highly accelerated myocardial perfusion CMR.

PURPOSE: To develop a physics-guided deep learning (PG-DL) reconstruction strategy based on a signal intensity informed multi-coil (SIIM) encoding operator for highly-accelerated simultaneous multislice (SMS) myocardial perfusion cardiac MRI (CMR). METHODS: First-pass perfusion CMR acquires highly-accelerated images with dynamically varying signal intensity/SNR following the administration of a gadolinium-based contrast agent. Thus, using PG-DL reconstruction with a conventional multi-coil encoding operator leads to analogous signal intensity variations across different time-frames at the network output, creating difficulties in generalization for varying SNR levels. We propose to use a SIIM encoding operator to capture the signal intensity/SNR variations across time-frames in a reformulated encoding operator. This leads to a more uniform/flat contrast at the output of the PG-DL network, facilitating generalizability across time-frames. PG-DL reconstruction with the proposed SIIM encoding operator is compared to PG-DL with conventional encoding operator, split slice-GRAPPA, locally low-rank (LLR) regularized reconstruction, low-rank plus sparse (L + S) reconstruction, and regularized ROCK-SPIRiT. RESULTS: Results on highly accelerated free-breathing first pass myocardial perfusion CMR at three-fold SMS and four-fold in-plane acceleration show that the proposed method improves upon the reconstruction methods use for comparison. Substantial noise reduction is achieved compared to split slice-GRAPPA, and aliasing artifacts reduction compared to LLR regularized reconstruction, L + S reconstruction and PG-DL with conventional encoding. Furthermore, a qualitative reader study indicated that proposed method outperformed all methods. CONCLUSION: PG-DL reconstruction with the proposed SIIM encoding operator improves generalization across different time-frames /SNRs in highly accelerated perfusion CMR.

Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning.

Parallel imaging is the most clinically used acceleration technique for magnetic resonance imaging (MRI) in part due to its easy inclusion into routine acquisitions. In k-space based parallel imaging reconstruction, sub-sampled k-space data are interpolated using linear convolutions. At high acceleration rates these methods have inherent noise amplification and reduced image quality. On the other hand, non-linear deep learning methods provide improved image quality at high acceleration, but the availability of training databases for different scans, as well as their interpretability hinder their adaptation. In this work, we present an extension of Robust Artificial-neural-networks for k-space Interpolation (RAKI), called residual-RAKI (rRAKI), which achieves scan-specific machine learning reconstruction using a hybrid linear and non-linear methodology. In rRAKI, non-linear CNNs are trained jointly with a linear convolution implemented via a skip connection. In effect, the linear part provides a baseline reconstruction, while the non-linear CNN that runs in parallel provides further reduction of artifacts and noise arising from the linear part. The explicit split between the linear and non-linear aspects of the reconstruction also help improve interpretability compared to purely non-linear methods. Experiments were conducted on the publicly available fastMRI datasets, as well as high-resolution anatomical imaging, comparing GRAPPA and its variants, compressed sensing, RAKI, Scan Specific Artifact Reduction in K-space (SPARK) and the proposed rRAKI. Additionally, highly-accelerated simultaneous multi-slice (SMS) functional MRI reconstructions were also performed, where the proposed rRAKI was compred to Read-out SENSE-GRAPPA and RAKI. Our results show that the proposed rRAKI method substantially improves the image quality compared to conventional parallel imaging, and offers sharper images compared to SPARK and ℓ1-SPIRiT. Furthermore, rRAKI shows improved preservation of time-varying dynamics compared to both parallel imaging and RAKI in highly-accelerated SMS fMRI.

Multi-mask self-supervised learning for physics-guided neural networks in highly accelerated magnetic resonance imaging.

Self-supervised learning has shown great promise because of its ability to train deep learning (DL) magnetic resonance imaging (MRI) reconstruction methods without fully sampled data. Current self-supervised learning methods for physics-guided reconstruction networks split acquired undersampled data into two disjoint sets, where one is used for data consistency (DC) in the unrolled network, while the other is used to define the training loss. In this study, we propose an improved self-supervised learning strategy that more efficiently uses the acquired data to train a physics-guided reconstruction network without a database of fully sampled data. The proposed multi-mask self-supervised learning via data undersampling (SSDU) applies a holdout masking operation on the acquired measurements to split them into multiple pairs of disjoint sets for each training sample, while using one of these pairs for DC units and the other for defining loss, thereby more efficiently using the undersampled data. Multi-mask SSDU is applied on fully sampled 3D knee and prospectively undersampled 3D brain MRI datasets, for various acceleration rates and patterns, and compared with the parallel imaging method, CG-SENSE, and single-mask SSDU DL-MRI, as well as supervised DL-MRI when fully sampled data are available. The results on knee MRI show that the proposed multi-mask SSDU outperforms SSDU and performs as well as supervised DL-MRI. A clinical reader study further ranks the multi-mask SSDU higher than supervised DL-MRI in terms of signal-to-noise ratio and aliasing artifacts. Results on brain MRI show that multi-mask SSDU achieves better reconstruction quality compared with SSDU. The reader study demonstrates that multi-mask SSDU at R = 8 significantly improves reconstruction compared with single-mask SSDU at R = 8, as well as CG-SENSE at R = 2.

Improved simultaneous multislice cardiac MRI using readout concatenated k-space SPIRiT (ROCK-SPIRiT).

PURPOSE: To develop and evaluate a simultaneous multislice (SMS) reconstruction technique that provides noise reduction and leakage blocking for highly accelerated cardiac MRI. METHODS: ReadOut Concatenated k-space SPIRiT (ROCK-SPIRiT) uses the concept of readout concatenation in image domain to represent SMS encoding, and performs coil self-consistency as in SPIRiT-type reconstruction in an extended k-space, while allowing regularization for further denoising. The proposed method is implemented with and without regularization, and validated on retrospectively SMS-accelerated cine imaging with three-fold SMS and two-fold in-plane acceleration. ROCK-SPIRiT is compared with two leakage-blocking SMS reconstruction methods: readout-SENSE-GRAPPA and split slice-GRAPPA. Further evaluation and comparisons are performed using prospectively SMS-accelerated cine imaging. RESULTS: Results on retrospectively three-fold SMS and two-fold in-plane accelerated cine imaging show that ROCK-SPIRiT without regularization significantly improves on existing methods in terms of PSNR (readout-SENSE-GRAPPA: 33.5 ± 3.2, split slice-GRAPPA: 34.1 ± 3.8, ROCK-SPIRiT: 35.0 ± 3.3) and SSIM (readout-SENSE-GRAPPA: 84.4 ± 8.9, split slice-GRAPPA: 85.0 ± 8.9, ROCK-SPIRiT: 88.2 ± 6.6 [in percentage]). Regularized ROCK-SPIRiT significantly outperforms all methods, as characterized by these quantitative metrics (PSNR: 37.6 ± 3.8, SSIM: 94.2 ± 4.1 [in percentage]). The prospectively five-fold SMS and two-fold in-plane accelerated data show that ROCK-SPIRiT and regularized ROCK-SPIRiT have visually improved image quality compared with existing methods. CONCLUSION: The proposed ROCK-SPIRiT technique reduces noise and interslice leakage in accelerated SMS cardiac cine MRI, improving on existing methods both quantitatively and qualitatively.

Free-breathing simultaneous T1 , T2 , and T2∗ quantification in the myocardium.

PURPOSE: To implement a free-breathing sequence for simultaneous quantification of T1 , T2 , and T2∗ for comprehensive tissue characterization of the myocardium in a single scan using a multi-gradient-echo readout with saturation and T2 preparation pulses. METHODS: In the proposed Saturation And T2 -prepared Relaxometry with Navigator-gating (SATURN) technique, a series of multi-gradient-echo (GRE) images with different magnetization preparations was acquired during free breathing. A total of 35 images were acquired in 26.5 ± 14.9 seconds using multiple saturation times and T2 preparation durations and with imaging at 5 echo times. Bloch simulations and phantom experiments were used to validate a 5-parameter fit model for accurate relaxometry. Free-breathing simultaneous T1 , T2 , and T2∗ measurements were performed in 10 healthy volunteers and 2 patients using SATURN at 3T and quantitatively compared to conventional single-parameter methods such as SASHA for T1 , T2 -prepared bSSFP, and multi-GRE for T2∗ . RESULTS: Simulations confirmed accurate fitting with the 5-parameter model. Phantom measurements showed good agreement with the reference methods in the relevant range for in vivo measurements. Compared to single-parameter methods comparable accuracy was achieved. SATURN produced in vivo parameter maps that were visually comparable to single-parameter methods. No significant difference between T1 , T2 , and T2∗ times acquired with SATURN and single-parameter methods was shown in quantitative measurements (SATURN T1=1573±86ms , T2=33.2±3.6ms , T2∗=25.3±6.1ms ; conventional methods: T1=1544±107ms , T2=33.2±3.6ms , T2∗=23.8±5.5ms ; P>.2 ) CONCLUSION: SATURN enables simultaneous quantification of T1 , T2 , and T2∗ in the myocardium for comprehensive tissue characterization with co-registered maps, in a single scan with good agreement to single-parameter methods.

2D:4D Digit Ratios in Adults with Gender Dysphoria: A Comparison to Their Unaffected Same-Sex Heterosexual Siblings, Cisgender Heterosexual Men, and Cisgender Heterosexual Women.

We compared gender dysphoria (GD) patients and their same-sex siblings in terms of their 2D:4D ratios, which may reflect prenatal exposure to androgen, one of the possible etiological mechanisms underlying GD. Sixty-eight GD patients (46 Female-to-Male [FtM]; 22 Male-to-Female [MtF]), 68 siblings (46 sisters of FtMs; 22 brothers of MtFs), and 118 heterosexual controls (62 female; 56 male) were included in the study. FtMs were gynephilic and MtFs were androphilic. We found that 2D:4D ratios in the both right hand (p < .001) and the left hand (p = .003) were lower in male controls than in female controls. Regarding right hands, FtM GD patients had lower 2D:4D ratios than female controls (p < .001) but their ratios did not differ from those of their sisters or male controls. FtM GD patients had no significant difference in their left-hand 2D:4D ratios compared to their sisters or female and male controls. While there was no significant difference in right hands between FtM's sisters and male controls, left-hand 2D:4D ratios were significantly higher in FtM's sisters (p = .017). MtF GD patients had lower right-hand 2D:4D ratios than female controls (p <.001), but their right-hand ratios did not differ from those of their brothers and male controls. There was no significant difference in left-hand 2D:4D ratios between MtF GD patients, and their brothers, or female and male controls. FtM GD patients showed significantly masculinized right-hand 2D:4D ratios, while there was no evidence of feminization in MtF GD patients.

Toxoplasma gondii infection by serological and molecular methods in schizophrenia patients with and without suicide attempts: An age-sex-matched case-control study.

INTRODUCTION: The opinion that latent Toxoplasma gondii infection is having a broadly asymptomatic projection has now been interrogated, in specific due to the echoed association between the latent infection and an elevated incidence of schizophrenia or even suicide attempts. Notwithstanding conducted studies aimed to understand this feasible link are restricted. METHODS: In the present case-control study, we focused to illuminate the relationship between the serological and molecular presence of T gondii and schizophrenia with or without the suicide attempts by comparing it with healthy individuals. A total of 237 participants (117 in schizophrenia and 120 in healthy control) were included in this study. RESULTS: Overall, latent T gondii infections were found statistically higher in 63 (53.8%) of the 117 patients with schizophrenia and in 33 (27.5%) of the 120 controls (P < .001). In schizophrenia patients, seroprevalence T gondii was again found to be statistically higher in suicide attempters (59.6%), compared with no history of suicide attempts (48.3%; P < .05). The molecular positivity rate of T gondii DNA was higher in the schizophrenia group, compared with the healthy control group (P < .05), whereas the history of suicide attempts was not statistically associated (P = .831) with T gondii DNA positivity by polymerase chain reaction. CONCLUSION: This case-control study enlightens additional demonstration to the belief that T gondii infection would be an underlying component for the pathophysiology of schizophrenia. Regardless of the clarity results of this study, this supposition warrants further endorsement.

An objective comparison of cell-tracking algorithms.

We present a combined report on the results of three editions of the Cell Tracking Challenge, an ongoing initiative aimed at promoting the development and objective evaluation of cell segmentation and tracking algorithms. With 21 participating algorithms and a data repository consisting of 13 data sets from various microscopy modalities, the challenge displays today's state-of-the-art methodology in the field. We analyzed the challenge results using performance measures for segmentation and tracking that rank all participating methods. We also analyzed the performance of all of the algorithms in terms of biological measures and practical usability. Although some methods scored high in all technical aspects, none obtained fully correct solutions. We found that methods that either take prior information into account using learning strategies or analyze cells in a global spatiotemporal video context performed better than other methods under the segmentation and tracking scenarios included in the challenge.

Evaluation of the Effectiveness of Psychoeducation Given to Children with Parental Psychiatric Disorders.

This study was aimed to determine the effectiveness of psychoeducation program which was developed to improve the coping skills and to increase the psychological resistance of 12-18 years children/adolescents whose parents' have psychiatric disorders. The study was carried out between May 2018 - November 2019 with children of patients who applied to the outpatient clinic and inpatient treatment at Istanbul University - Cerrahpasa, Cerrahpasa Faculty of Medicine Department of Psychiatry. Total of 40 children (experiment = 20 and control = 20), participated in the study. Data were collected using Personal Information Form, Adolescent Psychological Resilience Scale and Kidcope. The mean age of the children/adolescents in the experimental group was 14.05 ± 1.90, 50% was male and the mean age of the control group was 15.35 ± 2.08, and 55% were male. It was determined that the mean duration of psychiatric disorders were 11.50 ± 6.39 years and 40% of the psychiatric diagnosis was schizophrenia in the experimental group, and the mean duration psychiatric disorders were 6.10 ± 5.16 years and 30% of the psychiatric diagnosis was a depression in the control group. After psychoeducation, the total scores of scales in the experimental group showed an increase compared to the control group and a significant difference in a statistical context. It was found that children/adolescents participating in the psychoeducation program had increased psychological resilience levels and improved coping skills. This result shows that the psychoeducation program for children/adolescents with psychiatric disorders in their parents is effective.

Alterations in Body Uneasiness, Eating Attitudes, and Psychopathology Before and After Cross-Sex Hormonal Treatment in Patients with Female-to-Male Gender Dysphoria.

Body dissatisfaction plays an important role in the development of psychiatric problems such as eating disorders as well as gender dysphoria (GD). Cross-sex hormonal treatment (CHT) alleviates the dissatisfaction by making various changes in the body. We examined the alteration of body uneasiness, eating attitudes and behaviors, and psychological symptoms longitudinally in Turkish participants with female-to-male gender dysphoria (FtM GD) after CHT. Thirty-seven participants with FtM GD and 40 female controls were asked to complete the Body Uneasiness Test to explore different areas of body-related psychopathology, the Eating Attitudes Test to assess eating disturbances, and the Symptom Checklist-90 Revised to measure psychological state, both before CHT and after 6 months of CHT administration. The baseline mean body weight, BMI scores, body uneasiness scores, and general psychopathological symptoms of participants with FtM GD were significantly higher than female controls, whereas baseline eating attitudes and behaviors were not significantly different. Over time, FtM GD participants' mean body weight and BMI scores increased, body uneasiness and general psychopathological symptoms decreased, and eating attitudes and behaviors had not changed at 24th weeks following CHT administration compared to baseline. CHT may have a positive impact on body uneasiness and general psychopathological symptoms in participants with FtM GD. However, CHT does not have an impact on eating attitudes and behaviors.

Total Tau and Phosphorylated Tau Protein Serum Levels in Patients with Schizophrenia Compared with Controls.

Tau protein is located in the axons of neurons and in Alzheimer Disease, is abnormally phosphorylated and aggregates into paired helical filaments (neurofibrillary tangles) reflecting the degree of neurofibrillary pathology and neurodegeneration. Although tau and phosphorylated tau (p-Tau) pathology is a hallmark for dementia, few studies were performed in patients of schizophrenia. This preliminary serum study was designed to compare serum total tau and p-Tau levels of schizophrenia patients with healthy controls. The study was included 42 patients diagnosed with schizophrenia and 42 healthy control subjects. Sociodemographic form was applied to both groups and PANSS was applied to patient group. Serum total tau and p-Tau levels were measured by ELISA method. Total tau and p-Tau levels of patients were significantly lower than healthy controls. There was a positive correlation between amount of past electroconvulsive therapies and total tau level. However total tau and p-Tau levels were positively correlated. Our study results showed that serum total tau and p-Tau levels of patients with schizophrenia were significantly lower than healthy controls.

Serum levels of glial fibrillary acidic protein and Nogo-A in children with autism spectrum disorders.

CONTEXT: Improved biomarkers would facilitate the diagnosis and treatment of autism spectrum disorders (ASD). OBJECTIVE: Our objective was to examine the levels of Nogo-A and glial fibrillary acidic protein (GFAP) in children with ASD. MATERIALS AND METHODS: Serum concentrations of GFAP and Nogo-A were determined by enzyme-linked immunosorbent assay. RESULTS: In this preliminary study, we found that serum Nogo-A was not found significantly different between groups, while serum levels of GFAP were significantly lower in ASD than controls. DISCUSSION AND CONCLUSIONS: It will be of great interest to determine other potential causes of elevated serum levels of GFAP, and whether this elevation has any phenotypic effect.

Relationship between temperament, character and the autistic trait in parents of children with autistic spectrum disorder.

OBJECTIVE: Previous studies have revealed distinct features of autism, with higher harm avoidance and lower reward dependence and novelty seeking. It is assumed that high harm avoidance, and low novelty seeking, reward dependence, cooperativeness, and self-directedness are related with the broad autism phenotype, as seen in autistic individuals. METHOD: This study examined the association between the Temperament and Character Inventory (TCI) and the Autism Spectrum Quotient (AQ), in parents of children with ASD. RESULT: There was significant correlation between total AQ and total harm avoidance, cooperativeness, and self-directedness (p < 0.05). In the stepwise analysis, self-directedness and education emerged significantly (F(2,67) = 19.71, p < .005). This model modestly explained 35% of variance (Adjusted R(2) = .350). CONCLUSION: Our findings suggest that self-directedness may be an autistic trait.

Relationships between IGF-1, schizophrenia, and treatment of metabolic syndrome.

OBJECTIVES: The use of atypical antipsychotic drugs in patients with psychiatric illness may result in dyslipidemia, hypertension, glucose intolerance, and abdominal obesity, which are together referred to as metabolic syndrome (MS). To investigate any correlations among insulin-like growth factor-1 (IGF-1), schizophrenia, and MS, we examined the metabolic profiles of patients with schizophrenia taking atypical antipsychotics. DESIGN: Patients with schizophrenia, their siblings, and controls participated in this study (N=50 in each group). The Structured Clinical Interview for DSM-IV Axis 1 Disorders (SCID I) and the Brief Psychiatric Rating Scale (BPRS) were administered to patients, and SCID I was administered to patients' siblings. We drew blood to measure IGF-1 levels and to determine the metabolic profiles of all participants; we also conducted anthropometric measurements. RESULTS: There were no significant differences in IGF-1 levels between groups. By comparing IGF-1 levels with MS-related parameters, we found that IGF-1 levels were negatively correlated with triglyceride levels in the control group, and positively correlated with HDL levels in the patient group (Pearson's correlation: r=-0.291, P=0.04, and r=0.328, P=0.02, respectively). Compared to their siblings, patients with schizophrenia had a significantly different body mass index, waist circumference, and insulin resistance, and showed a trend toward a difference in glucose levels (ANOVA: P=0.004, P<0.0001, P=0.004, P=0.072, respectively). CONCLUSION: A correlation between IGF-1 and MS may significantly influence future therapeutic strategies for MS. In order to determine the role of IGF-1 in schizophrenia, comprehensive longitudinal studies with first-episode drug-naive patients are needed.

Recognition of emotional facial expressions and broad autism phenotype in parents of children diagnosed with autistic spectrum disorder.

OBJECTIVE: Research findings debate about features of broad autism phenotype. In this study, we tested whether parents of children with autism have problems recognizing emotional facial expression and the contribution of such an impairment to the broad phenotype of autism. METHOD: Seventy-two parents of children with autistic spectrum disorder and 38 parents of control group participated in the study. Broad autism features was measured with Autism Quotient (AQ). Recognition of Emotional Face Expression Test was assessed with the Emotion Recognition Test, consisting a set of photographs from Ekman & Friesen's. RESULTS: In a two-tailed analysis of variance of AQ, there was a significant difference for social skills (F(1, 106)=6.095; p<.05). Analyses of variance revealed significant difference in the recognition of happy, surprised and neutral expressions (F(1, 106)=4.068, p=.046; F(1, 106)=4.068, p=.046; F(1, 106)=6.064, p=.016). CONCLUSION: According to our findings, social impairment could be considered a characteristic feature of BAP. ASD parents had difficulty recognizing neutral expressions, suggesting that ASD parents may have impaired recognition of ambiguous expressions as do autistic children.

The Relationship Between Depressive Symptoms and Psychological Variables in Patients With Schizophrenia.

INTRODUCTION: Depressive symptoms are common in schizophrenia and can be seen at any stage of the disease. Although various models have been proposed to explain the development of depression in schizophrenia, studies investigating related psychological factors are scarce and the studies that have been done usually focus on only a small number of possible factors. OBJECTIVE: The goal of this study was to investigate the predictability of some psychological factors on depression in patients with schizophrenia. For this purpose, patients with high and low depression scores were compared. METHODS: Two groups of individuals with schizophrenia, with (n=29) and without (n=31) depression, as determined by scores on the Calgary Depression Scale in Schizophrenia, were compared using a sociodemographic data form, the Positive and Negative Syndrome Scale (PANSS), the Beck Anxiety Inventory, the Rotter Internal-External Locus 2024 of Control Scale, the Multidimensional Scale of Perceived Social Support, and the Stress Coping Styles Scale. RESULTS: No differences were found between the 2 groups in terms of sociodemographic and clinical characteristics, social support scores, and coping styles. Statistically significant differences were found between the groups on the PANSS positive, negative, and general psychopathology subscales, in PANSS total scores, in anxiety scores, and in locus of control scores. CONCLUSIONS: This study showed that high levels of negative, positive, and general psychopathological symptoms, external locus of control, and high anxiety scores may be predictive of depression in individuals with schizophrenia. Studies that examine psychological factors in larger patient groups may provide the opportunity to detect and target these factors earlier in the course of schizophrenia, thereby reducing morbidity and mortality.