Dynamics of retrospective timing: A big data approach.

Most interval timing research has focused on prospective timing tasks, in which participants are explicitly asked to pay attention to time as they are tested over multiple trials. Our current understanding of interval timing primarily relies on prospective timing. However, most real-life temporal judgments are made without knowing beforehand that the durations of events will need to be estimated (i.e., retrospective timing). The current study investigated the retrospective timing performance of ~24,500 participants with a wide range of intervals (5-90 min). Participants were asked to judge how long it took them to complete a set of questionnaires that were filled out at the participants' own pace. Participants overestimated and underestimated durations shorter and longer than 15 min, respectively. They were most accurate at estimating 15-min long events. The between-subject variability in duration estimates decreased exponentially as a function of time, reaching the lower asymptote after 30 min. Finally, a considerable proportion of participants exhibited whole number bias by rounding their duration estimates to the multiples of 5 min. Our results provide evidence for systematic biases in retrospective temporal judgments, and show that variability in retrospective timing is relatively higher for shorter durations (e.g., < 30 min). The primary findings gathered from our dataset were replicated based on the secondary analyses of another dataset (Blursday). The current study constitutes the most comprehensive study of retrospective timing regarding the range of durations and sample size tested.

The prevalence and psychological relation of problem shopping: data from a large-scale sample from Turkey.

BACKGROUND: The purpose of the present study was to comprehensively examine the measurement aspects, the prevalence, and the psychological correlates of problem shopping among a large-scale national sample of Turkish adults. RESULT: Participants (N = 24,380, 50% men, M age = 31.79 years, age range = 18-81 years) completed a questionnaire that comprised the Shopping Addiction Risk Questionnaire, the Brief Symptom Inventory, the Positive and Negative Affect Schedule, and the Experiences in Close Relationships-Revised. Results showed that 1.8% of the participants had probable shopping addiction. Being female, being younger, psychiatric distress, positive affect, negative affect, anxious attachment, and avoidant attachment were positive correlates of problem shopping. CONCLUSION: The results of this large sample size study suggest that shopping addiction is not a rare condition in Turkey. Further research is needed to understand different motives that underlie the problematic shopping behavior in the young and female population in comparison to older and male populations. Preventive programs or any interventions for people with PSB needs to address regulation difficulties and development of healthy strategies to cope with psychiatric distress.

Substance use and its risk factors in Turkey: a nationally representative sample study.

OBJECTIVE: Substance use is the most important modifiable factor in increased morbidity and premature mortality. The purpose of this study was to examine the psychological factors associated with substance use status in nationally representative sample. METHOD: The data were from the Addiction Map of Turkey Study (TURBAHAR), in which 24,494 adults were recruited from 200 to 2000 participants in 26 provinces in Turkey. Chi-square tests and one-way ANOVAs were used to analyze the relationships between substance status and the risk factors. Multinomial Logistic regressions were used to calculate odds ratios. RESULTS: The prevalence of single substance use and polysubstance use at least once in their lifetime were 4.5% and 2.6%. Males, late emerging adults (24-29 years old) were more likely be a single substance use and polysubstance use. Having graduates diploma were more likely be a polysubstance use. Higher depression, anxiety, somatization, hostility, externally-oriented thinking, positive affect were associated with higher possibility of single and/or polysubstance use. Higher personal wellbeing scores and anxious attachment scores were associated with lower possibility of single and/or polysubstance use. CONCLUSION: Male, undergraduate and graduate, late emerging adults needs special attention. Many psychological variables are associated with substance use. Although not all have a high potency, they provide important information for subsequent treatment and diagnostic approaches.

Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach.

The human brain is characterized by complex structural, functional connections that integrate unique cognitive characteristics. There is a fundamental hurdle for the evaluation of both structural and functional connections of the brain and the effects in the diagnosis and treatment of neurodegenerative diseases. Currently, there is no clinically specific diagnostic biomarker capable of confirming the diagnosis of major depressive disorder (MDD). Therefore, exploring translational biomarkers of mood disorders based on deep learning (DL) has valuable potential with its recently underlined promising outcomes. In this article, an electroencephalography (EEG)-based diagnosis model for MDD is built through advanced computational neuroscience methodology coupled with a deep convolutional neural network (CNN) approach. EEG recordings are analyzed by modeling 3 different deep CNN structure, namely, ResNet-50, MobileNet, Inception-v3, in order to dichotomize MDD patients and healthy controls. EEG data are collected for 4 main frequency bands (Δ, θ, α, and ß, accompanying spatial resolution with location information by collecting data from 19 electrodes. Following the pre-processing step, different DL architectures were employed to underline discrimination performance by comparing classification accuracies. The classification performance of models based on location data, MobileNet architecture generated 89.33% and 92.66% classification accuracy. As to the frequency bands, delta frequency band outperformed compared to other bands with 90.22% predictive accuracy and area under curve (AUC) value of 0.9 for ResNet-50 architecture. The main contribution of the study is the delineation of distinctive spatial and temporal features using various DL architectures to dichotomize 46 MDD subjects from 46 healthy subjects. Exploring translational biomarkers of mood disorders based on DL perspective is the main focus of this study and, though it is challenging, with its promising potential to improve our understanding of the psychiatric disorders, computational methods are highly worthy for the diagnosis process and valuable in terms of both speed and accuracy compared with classical approaches.

Entropy: A Promising EEG Biomarker Dichotomizing Subjects With Opioid Use Disorder and Healthy Controls.

Electroencephalography (EEG) signals are known to be nonstationary and often multicomponential signals containing information about the condition of the brain. Since the EEG signal has complex, nonlinear, nonstationary, and highly random behaviour, numerous linear feature extraction methods related to the short-time windowing technique do not satisfy higher classification accuracy. Since biosignals are highly subjective, the symptoms may appear at random in the time scale and very small variations in EEG signals may depict a definite type of brain abnormality it is valuable and vital to extract and analyze the EEG signal parameters using computers. The challenge is to design and develop signal processing algorithms that extract this subtle information and use it for diagnosis, monitoring, and treatment of subjects suffering from psychiatric disorders. For this purpose, finite impulse response-based filtering process was employed rather than traditional time and frequency domain methods. Finite impulse response subbands were analyzed further to obtain feature vectors of different entropy markers and these features were fed into a classifier namely multilayer perceptron. The performances of the classifiers were finally compared considering overall classification accuracies, area under receiver operating characteristic curve scores. Our results underline the potential benefit of the introduced methodology is promising and is to be treated as a clinical interface in dichotomizing substance use disorders subjects and for other medical data analysis studies. The results also indicate that entropy estimators can distinguish normal and opioid use disorder subjects. EEG data and theta frequency band have distinctive capability for almost all types of entropies while nonextensive Tsallis entropy outperforms compared with other types of entropies.

Prediction of treatment resistance in obsessive compulsive disorder patients based on EEG complexity as a biomarker.

OBJECTIVE: This study aimed to identify an Electroencephalography (EEG) complexity biomarker that could predict treatment resistance in Obsessive compulsive disorder (OCD) patients. Additionally, the statistical differences between EEG complexity values in treatment-resistant and treatment-responsive patients were determined. Moreover, the existence of correlations between EEG complexity and Yale-Brown Obsessive Compulsive Scale (YBOCS) score were evaluated. METHODS: EEG data for 29 treatment-resistant and 28 treatment-responsive OCD patients were retrospectively evaluated. Approximate entropy (ApEn) method was used to extract the EEG complexity from both whole EEG data and filtered EEG data, according to 4 common frequency bands, namely delta, theta, alpha, and beta. The random forests method was used to classify ApEn complexity. RESULTS: ApEn complexity extracted from beta band EEG segments discriminated treatment-responsive and treatment-resistant OCD patients with an accuracy of 89.66% (sensitivity: 89.44%; specificity: 90.64%). Beta band EEG complexity was lower in the treatment-resistant patients and the severity of OCD, as measured by YBOCS score, was inversely correlated with complexity values. CONCLUSIONS: The results indicate that, EEG complexity could be considered a biomarker for predicting treatment response in OCD patients. SIGNIFICANCE: The prediction of treatment response in OCD patients might help clinicians devise and administer individualized treatment plans.

Seasonal mood changes in patients with obsessive-compulsive disorder.

Obsessive-compulsive disorder (OCD) is frequently associated with mood disorders. However, to date, the co-occurrence of OCD with seasonal affective disorder (SAD) has not been investigated. We have aimed to estimate the prevalence of seasonal mood changes in patients with OCD and explore the contribution of seasonality in mood to the severity of OCD. The Seasonal Pattern Assessment Questionnaire (SPAQ), the Yale-Brown Obsession and Compulsion Scale (Y-BOCS), the Hamilton Depression Rating Scale-17 Items (HDRS-17), and the Beck Anxiety Inventory (BAI) were administered to patients with OCD (n=104) and controls (n=125). The degree of seasonality was measured by the Global Seasonality Score (GSS) calculated from the SPAQ. SAD and subsyndromal seasonal affective disorder (S-SAD) were significantly more prevalent in patients with OCD (53%, n=55) than controls (25%, n=31). When patients were assessed in the season in which SAD occurs, depression and compulsions (but not obsessions, OCD or anxiety) were more severe than those assessed in a season during which SAD does not occur. SAD frequently co-occurs with OCD and, given this co-occurrence, depression symptoms in some patients with OCD might be expected to vary on a seasonal basis.

The relationship of psychological trauma with trichotillomania and skin picking.

OBJECTIVE: Interactions between psychological, biological and environmental factors are important in development of trichotillomania and skin picking. The aim of this study is to determine the relationship of traumatic life events, symptoms of post-traumatic stress disorder and dissociation in patients with diagnoses of trichotillomania and skin picking disorder. METHODS: The study included patients who was diagnosed with trichotillomania (n=23) or skin picking disorder (n=44), and healthy controls (n=37). Beck Depression Inventory, Traumatic Stress Symptoms Scale and Dissociative Experiences Scale were administered. All groups checked a list of traumatic life events to determine the exposed traumatic events. RESULTS: There was no statistical significance between three groups in terms of Dissociative Experiences Scale scores (P=0.07). But Beck Depression Inventory and Traumatic Stress Symptoms Scale scores of trichotillomania and skin picking groups were significantly higher than the control group. Subjects with a diagnosis of trichotillomania and skin picking reported statistically significantly higher numbers of traumatic and negative events in childhood compared to healthy subjects. CONCLUSION: We can conclude that trauma may play a role in development of both trichotillomania and skin picking. Increased duration of trichotillomania or skin picking was correlated with decreased presence of post-traumatic stress symptoms. The reason for the negatively correlation of severity of post-traumatic stress symptoms and self-harming behavior may be speculated as developing trichotillomania or skin picking symptoms helps the patient to cope with intrusive thoughts related to trauma. Future longitudinal research must focus on whether trauma and post-traumatic stress or trichotillomania and skin picking precede the development of mental disorder.

Follow-up study of children whose mothers were treated with transcranial magnetic stimulation during pregnancy: preliminary results.

OBJECTIVES: The purpose of this study is to determine the impact of repetitive transcranial stimulation (rTMS) treatment during pregnancy on neurodevelopment of children. MATERIALS AND METHODS: Women who were treated with rTMS during pregnancy and delivered liveborn children between 2008 and 2013 were selected. A control group consisted of children whose mothers had a history of untreated depression during their pregnancy (N = 26). Early developmental characteristics of all the children in the study were evaluated, and their developmental levels were determined using the Ankara Developmental Screening Inventory. RESULTS: The mean age of the children in the rTMS treatment group was 32.4 months (range 16-64 months), and that of the untreated group was 29.04 (range 14-63 months). Jaundice (N = 2) and febrile convulsion (N = 1) were the reported medical conditions in the children of the rTMS-treated group; jaundice (N = 3) and low birth weight (N = 1) were reported in the untreated group. In the rTMS group, mothers' perception of delay in language development was observed, but there were not any statistically significant differences in the prevalence rate compared with the untreated group (OR = 0.38; 95% CI 0.0860-1.6580). CONCLUSIONS: Our results suggest that rTMS exposure during pregnancy is not associated with poorer cognitive or motor development outcomes in children aged 18-62 months. Although language development as reported by the mothers was found to be poorer than expected in the rTMS-treated group, the delay was found to be similar to the language delay observed in offspring of untreated mothers, as reported in previous studies of prenatal depression treated with selective serotonin reuptake inhibitors.

Evaluation of the efficacy of the continuation electroconvulsive therapy in treatment-resistant schizophrenia / Avaliação da eficácia da eletroconvulsoterapia contínua para esquizofrenia resistente ao tratamento

Background: Electroconvulsive therapy (ECT) has been reported being a safe and effective treatment in schizophrenia. However, there are a limited number of studies assessing continuation ECT utilization in patients with schizophrenia giving partial response to pharmacological treatment. Objective: The aim of this study is to evaluate the effectiveness of continuation ECT in preventing relapse in patients with treatment-resistant schizophrenia. Methods: In this retrospective analysis, schizophrenia patients (n = 73) were defined in three groups such as patients who received only AP treatment (only AP), patients who received acute ECT only during hospitalization (aECT+AP), patients who received acute ECT and continuation ECT (a-cECT+AP). Three groups were compared according to positive and negative syndrome scale (PANSS) and Brief Psychiatric Rating Scale (BPRS) scores. Results : As per comparison of only AP group, aECT+AP group and a+cECT+AP groups in terms of after discharge PANSS and after discharge BPRS scores for 1st month, 3rd month and 6th month; 3rd and 6th month’s PANSS scores of a+cECT+AP group were statistically significantly lower than other two groups. Discussion: Although this study suffers the limitations of retrospective medical chart analysis, results suggest that, in patients with a diagnosis of schizophrenia who have responded to an acute course of ECT, continuation ECT in combination with antipsychotics is more effective than antipsychotics alone in preventing relapse...

Contexto: A eletroconvulsoterapia (ECT) tem mostrado ser um tratamento seguro e eficaz para esquizofrenia. No entanto, o número de estudos que avaliam a utilização contínua de ECT em pacientes com esquizofrenia e a resposta parcial ao tratamento farmacológico é limitado. Objetivo: O objetivo deste estudo é avaliar a eficácia da ECT de continuação na prevenção de recaída em pacientes com esquizofrenia resistente ao tratamento. Métodos: Nesta análise retrospectiva, pacientes com esquizofrenia (n = 73) foram alocados em três grupos: pacientes que receberam apenas o tratamento AP (somente AP), pacientes que receberam um curso agudo de ECT durante a hospitalização (aECT+AP) e pacientes que receberam um curso agudo de ECT durante a hospitalização e ECT de continuação (a-cECT+AP). Esses três grupos foram comparados de acordo com a pontuação atribuída na Positive and Negative Syndrome Scale (PANSS) e na Brief Psychiatric Rating Scale (BPRS). Resultados: De acordo com a comparação dos grupos, somente em AP, aECT+AP e a+cECT+AP, em termos de PANSS e BPRS, após descarga no primeiro, terceiro e sexto mês, as pontuações na PANSS no terceiro e sexto mês no grupo a+cECT+AP foram estatística e significativamente menores do que nos outros dois grupos. Conclusões: Embora este estudo mostre limitações causadas pela análise retrospectiva de prontuários, os resultados sugerem que a continuação da ECT em combinação com antipsicóticos é mais eficaz do que somente os antipsicóticos, na prevenção da recaída em pacientes com diagnóstico de esquizofrenia que responderam ao curso agudo de ECT...

Analysis of Brain Functional Changes in High-Frequency Repetitive Transcranial Magnetic Stimulation in Treatment-Resistant Depression.

Repetitive transcranial magnetic stimulation (rTMS) is a treatment procedure that uses magnetic fields to stimulate nerve cells in the brain, and is associated with significant improvements in clinical symptoms of major depressive disorder (MDD). The effect of rTMS treatment on the brain can be evaluated by cordance, a quantitative electroencephalography (QEEG) method that extracts information from absolute and relative power of EEG spectra. In this study, to analyze brain functional changes, pre- and post-rTMS, QEEG data were collected from 6 frontal electrodes (Fp1, Fp2, F3, F4, F7, and F8) in 2 slow bands (delta and theta) for 55 MDD subjects. To examine brain changes, cordance scores were determined, using repeated-measures analysis of variance (ANOVA). High-frequency rTMS was associated with cordance decrease in left frontal and right prefrontal regions in both delta and theta for nonresponders; it was associated with cordance increase in all right and left frontal electrodes, except F8, for responders.

Hypomanic shift observed during rTMS treatment of patients with unipolar depressive disorder: four case reports.

OBJECTIVE: Repetitive transcranial magnetic stimulation (rTMS) can enhance the excitement of the brain through adjusting the biological activities of the cerebral cortex and has wide biological effects, making it one basic mechanism of therapy for depression. In the treatment of unipolar depressive disorder, almost in every treatment method, hypomanic and manic shifts can be observed. There is still a lack of data regarding manic and hypomanic symptoms triggered by rTMS applications. METHOD: We describe four cases with unipolar depression in which high-frequency rTMS over the left dorsolateral prefrontal cortex applied as an add-on antidepressive strategy may have induced a hypomanic episode. RESULTS: In these cases, 25 Hz rTMS combined with antidepressants may have contributed to the occurrence of hypomanic symptoms. CONCLUSION: Using an intensive methodology of rTMS may induce hypomanic or manic symptoms.

Delusional parasitosis with hyperthyroidism in an elderly woman: a case report.

INTRODUCTION: Delusional parasitosis is a rare, monosymptomatic psychosis involving a delusion of being infested with parasites. It is commonly observed among female patients over the age of 50. It is classified as a 'delusional disorder' according to the 10th revision of the International Classification of Diseases and as a 'delusional disorder - somatic type' according to the Diagnostic and Statistical Manual, Fourth Edition. Delusional parasitosis was reported to be associated with physical disorders such as hypoparathyroidism, Huntington's chorea and Alzheimer's disease, among others. Other than vitamin deficiencies however, a causal relationship has not to date been identified. We present this case due to the rarity of Turkish patients with this condition, its duration of follow-up, and its temporal pattern of symptoms paralleling thyroid function tests. CASE PRESENTATION: Our patient was a 70-year-old white Anatolian Turkish woman with primary school education who had been living alone for the past five years. She presented to our psychiatry department complaining of 'feeling large worms moving in her body'. The complaints started after she was diagnosed with hyperthyroidism, increased when she did not use her thyroid medications and remitted when she was compliant with treatment. She was treated with pimozide 2mg/day for 20 months and followed-up without any antipsychotic treatment for an additional nine months. At her last examination, she was euthyroid, not receiving antipsychotics and was not having any delusions. CONCLUSION: Although endocrine disorders, including hyperthyroidism, are listed among the etiological factors contributing to secondary delusional parasitosis, as far as we are aware this is the first case demonstrating a temporal pattern of thyroid hyperfunction and delusions through a protracted period of follow-up. It may be that the treatment of delusional parasitosis depends on clarifying the etiology and that atypical antipsychotics may help in the management of primary delusional parasitosis. Further studies on the relationship between thyroid hormones and dopaminergic neurotransmission may be warranted.