OBJECTIVES: Obsessive compulsive disorder (OCD) tends to take chronic course as schizophrenia. Researchers reported that OC patients had idiosyncratic sensitivity to threat-related information, while schizophrenic patients were reported to have affective blunting. We hypothesized that there might be a difference in emotional response between OCD and SPR in cronic phase. METHODS: Eight different emotional tasks were done by 25 healthy controls, 21 OCD patients and 25 SPR patients. Visual stimuli were made by pairing two words or pictures. Four kinds of emotional stimuli(positive, negative, combined and neutral) were presented to subjects through monitor and they were asked to report their subjective feelings by pushing mouse button. In the combined condition, a pair of positive words (or pictures) and negative words (or pictures) were presented simultaneously. The responses and response time were recorded and analyzed using SPSS 9.0 package. RESULTS: In the negative condition, OCD group didn't show any deficit compared to healthy group. But SPR group showed significantly lower appropriate response rate than healthy group. In the combined condition, OCD and healthy control group showed 'negativity bias' which SPR group didn't show. In the positive condition, however, OCD and SPR groups did show significantly lower appropriate response rate than healthy controls. CONCLUSION: Our results suggested that OCD patients may not have deficits in the processing of negative emotion even in the chronic phase but to have a specific deficit in positive emotion. This result supports the 'threat-relatedness hypothesis' on attentional bias of OCD.
Animals ; Automatic Data Processing* ; Bias (Epidemiology) ; Humans ; Mice ; Obsessive-Compulsive Disorder* ; Reaction Time ; Schizophrenia*

Machine learning approaches are increasingly being applied to neuroimaging data from patients with psychiatric disorders to extract brain-based features for diagnosis and prognosis. The goal of this review is to discuss recent practices for evaluating machine learning applications to obsessive-compulsive and related disorders and to advance a novel strategy of building machine learning models based on a set of core brain regions for better performance, interpretability, and generalizability. Specifically, we argue that a core set of co-altered brain regions (namely 'core regions') comprising areas central to the underlying psychopathology enables the efficient construction of a predictive model to identify distinct symptom dimensions/clusters in individual patients. Hypothesis-driven and data-driven approaches are further introduced showing how core regions are identified from the entire brain. We demonstrate a broadly applicable roadmap for leveraging this core set-based strategy to accelerate the pursuit of neuroimaging-based markers for diagnosis and prognosis in a variety of psychiatric disorders.
Humans ; Obsessive-Compulsive Disorder/epidemiology* ; Brain/pathology* ; Neuroimaging/methods* ; Machine Learning ; Comorbidity ; Magnetic Resonance Imaging/methods*

OBJECTIVES: Obsessive-compulsive disorder (OCD) is a chronic and refractory mental disorder with early onset, low response rate, and poor prognosis. Studies have shown that the age of onset, severity, course of disease, and untreated course of disease may affect its clinical efficacy. At present, there are few studies on the duration of untreated illness (DUI) of OCD patients. The current medical status and untreated course of OCD patients in China are still unclear. This study aims to investigate the current medical status of OCD patients in psychiatric outpatients of a general hospital, including the course of disease and DUI as well as its influencing factors. METHODS: A total of 310 outpatients with OCD who visited the Department of Mental Health, Guangdong Provincial People's Hospital for the first time, were recruited and interviewed. The information including age, gender, years of education, marital status, work status, age of onset, comorbid mental disorders, age of first treatment, course of disease, and DUI were collected. We also calculated the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) and Global Assessment Function (GAF) scores for total sample to analyze the demographic characteristics and clinical data of patients with OCT. The median DUI was used as the cut-off value, and the patients were divided into a short DUI group and a long DUI group. The differences in demographic characteristics and clinical data between the 2 groups were compared, and the factors affecting the DUI were analyzed. RESULTS: There were 158 males (51%) and 152 females (49%). The age of onset was (19.48±7.97) years. The years of education were 13.49±3.13; 215 (69.4%) were single and 95 (30.6%) were married; 103 (33.2%) were employed and 207 (66.8%) were unemployed. The median course of OCD was 4 years and the median DUI was 3 years. There were 177 cases in the short DUI (≤3 years) group and 133 cases in the long DUI (>3 years) group. Compared with the long DUI group, the patients in the short DUI group were younger (P<0.01); they had mild obsessive-compulsive symptoms (P<0.05) and a shorter education period and course of disease (P<0.01 and P<0.001, respectively); and they were more unemployed and single (both P<0.001). Correlation analysis showed that DUI was positively correlated with age, course of disease, years of education, and Y-BOCS score (r=0.45, P<0.001; r=0.74, P<0.001; r=0.27, P<0.001; r=0.17, P<0.01). When the DUI of OCD patients was used as the dependent variable, Y-BOCS, age, course of disease, whether to work, marital status, and years of education were used as the independent variables for binary logistic regression analysis, which showed that the duration of illness could predict the short and long DUI of OCD [Wald χ²=49.78, Exp(B)=1.34, P<0.001]. CONCLUSIONS Investigation for the medical status of OCD patients in the psychiatric outpatients of a general hospital in Guangdong, China shows that the duration of illness of OCD patients in the psychiatric outpatients and the DUI of OCD patients are generally shorter than previous foreign reports. The DUI of OCD patients is affected by the course of disease, age, severity of symptoms, and other factors. In the future, large sample, multi-center, and follow-up studies could be considered to further explore the influencing factors for the DUI of OCD and the impact on the prognosis of the disease, to help improve the status of delayed treatment for OCD and improve the effective rate of OCD treatment.
Male ; Female ; Humans ; Child ; Adolescent ; Young Adult ; Adult ; Outpatients ; Obsessive-Compulsive Disorder/epidemiology* ; Treatment Outcome ; Time Factors ; China/epidemiology*

Obsessive compulsive disorder with child & adolescent onset (C-OCD) is not a rare disorder. Though OCD patients with prepubertal onset is scarce, the prevalence of OCD with postpubertal, adolescent onset reach nearly that of adult OCD. In clinical features, C-OCD resemble adult OCD. However, the other features of pediatric OCD are different from those of adult OCD. The sex ratio of pediatric OCD is male dominant and C-OCD show high comorbid rate with tic disorder, which is not prevailing in adult OCD. Family data analysis of tic disorder and C-OCD reveal the close genetic linkage between two disorders. Neuroimaging studies of C-OCD indicate very consistent findings in basal ganglia volume change (usually reduction of striatum) that may not be so consistent in adult OCD. SSRIs are less effective in C-OCD and combined therapy with antipsychotics is more frequently needed than adult OCD. In conclusion, child and adolescent OCD can be a distinctive subtype of OCD that is different from adult OCD in many ways.
Adolescent* ; Adult ; Antipsychotic Agents ; Basal Ganglia ; Child* ; Epidemiology ; Genetic Linkage ; Humans ; Male ; Neurobiology ; Neuroimaging ; Obsessive-Compulsive Disorder* ; Prevalence ; Sex Ratio ; Statistics as Topic ; Tic Disorders

INTRODUCTIONHoarding is defined as the acquisition of, and inability to discard items even though they appear to others to have no value. The objectives of the study were to establish the prevalence of hoarding behaviour among the general population and among individuals with obsessive-compulsive disorder (OCD) in a cross-sectional study conducted in Singapore.

MATERIALS AND METHODSThe Singapore Mental Health Study was a cross-sectional epidemiological survey of a nationally representative sample of residents aged 18 years or older, living in households. The diagnoses of mental disorders were established using Version 3.0 of Composite International Diagnostic Interview (CIDI 3.0). Differences between 3 groups i.e. those diagnosed with lifetime/12-month Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) OCD with hoarding, those diagnosed with lifetime/12-month DSM-IV OCD without hoarding and those with lifetime hoarding behaviour without diagnosis of DSM-IV OCD were determined.

RESULTSThe weighted prevalence of lifetime hoarding behaviour was 2% and that of hoarding among those with OCD was 22.6%. Those who met the criteria for hoarding behaviour alone were associated with lower odds of having obsessions of contamination, harming, ordering as well as compulsions of ordering and other compulsions than those who met criteria for both OCD and hoarding.

CONCLUSIONHoarders without OCD were less impaired, in terms of comorbid psychopathology, than those with OCD with and without hoarding, and had a higher quality of life versus those with both OCD and hoarding, though still lower than that of the general population.

Adolescent ; Adult ; Aged ; Cross-Sectional Studies ; Diagnostic and Statistical Manual of Mental Disorders ; Female ; Hoarding Disorder ; complications ; diagnosis ; epidemiology ; etiology ; Humans ; Male ; Middle Aged ; Obsessive-Compulsive Disorder ; complications ; diagnosis ; Prevalence ; Quality of Life ; Singapore ; epidemiology ; Young Adult

BACKGROUND/AIMS: To estimate the prevalence and evaluate the associated psychological factors of functional gastrointestinal disorders (FGIDs) in males in their twenties who are currently enrolled in military service. METHODS: A total of 1,073 men in the Korean army were asked to complete questionnaires based on the Rome III criteria and Symptom Checklist-90-revised (SCL-90R). The prevalence of FGIDs was estimated, and the associated psychological factors were evaluated. RESULTS: A total of 967 men participated. The total prevalence of FGIDs was 18.5% (age-adjusted prevalence, 18.1%; 95% confidence interval [CI], 15.3% to 20.8%). The total SCL-90R scores were higher in men with FGIDs than men without FGIDs (24 [interquartile range, 13 to 44] vs 13 [5 to 28], p<0.001) and higher in men with overlapping syndromes than in those with single FGIDs (31 [18 to 57] vs 14 [5.75 to 29], p<0.001). Somatization (odds ratio [OR], 1.141; 95% CI, 1.09 to 1.20; p<0.001), obsessive-compulsive behaviors (OR, 1.084; 95% CI, 1.03 to 1.14; p=0.002) and depression (OR, 0.943; 95% CI, 0.90 to 0.99; p=0.020) were identified as independent predictive factors for FGIDs. CONCLUSIONS: FGIDs are common among men in their twenties who are fulfilling their military duty. Somatization and obsessive-compulsive features from the tense atmosphere are associated with the development or progression of FGIDs. Patients who exhibit overlapping syndromes require greater attention given their more severe psychopathology.
Depression/complications ; Gastrointestinal Diseases/*epidemiology/psychology ; Humans ; Male ; Military Personnel/psychology/*statistics & numerical data ; Obsessive-Compulsive Disorder/complications ; Prevalence ; Psychopathology ; Republic of Korea/epidemiology ; Somatoform Disorders/complications ; Surveys and Questionnaires ; Young Adult