Are there differences in oxidative stress and inflammatory processes between the autogenous and reactive subtypes of obsessive-compulsive disorder? A controlled cross-sectional study.

OBJECTIVE: To date, no study has investigated whether autogenous and reactive obsessive-compulsive disorder (OCD) types are different entities in terms of oxidative stress and inflammatory processes. The aim of this study is to compare them in terms of these features. METHODS: The study was conducted in subjects with reactive OCD (n=19), autogenous OCD (n=14), and a control group (n=17). All participants were non-smokers. Sociodemographic data were collected and the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS), Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI), Obsessive Beliefs Questionnaire (OBQ), and Overvalued Ideas Scale (OVIS) were administered. High-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6), interleukin-10 (IL-10), paraoxonase (PON1), total oxidant status (TOS), and total antioxidant status (TAS) were measured. RESULTS: There were no significant differences in TAS, TOS, or oxidative stress index (OSI) between the OCD and control groups. PON1 and hs-CRP levels were higher in the OCD group, whereas IL-6 and IL-10 levels were lower. Comparison across the three groups revealed no differences in TAS, TOS, OSI, or PON1 levels; however, hs-CRP was significantly higher while IL-6 and IL-10 were significantly lower in the reactive group compared to controls. CONCLUSION: Our results show that, although inflammatory processes may play a role in OCD, the autogenous and reactive subtypes do not differ from each other in these respects. The classification of OCD into autogenous and reactive subtypes should be reevaluated.

Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning From a Primate Genetic Model.

OBJECTIVE: Psychiatric disorders commonly comprise comorbid symptoms, such as autism spectrum disorder (ASD), obsessive-compulsive disorder (OCD), and attention deficit hyperactivity disorder (ADHD), raising controversies over accurate diagnosis and overlap of their neural underpinnings. The authors used noninvasive neuroimaging in humans and nonhuman primates to identify neural markers associated with DSM-5 diagnoses and quantitative measures of symptom severity. METHODS: Resting-state functional connectivity data obtained from both wild-type and methyl-CpG binding protein 2 (MECP2) transgenic monkeys were used to construct monkey-derived classifiers for diagnostic classification in four human data sets (ASD: Autism Brain Imaging Data Exchange [ABIDE-I], N=1,112; ABIDE-II, N=1,114; ADHD-200 sample: N=776; OCD local institutional database: N=186). Stepwise linear regression models were applied to examine associations between functional connections of monkey-derived classifiers and dimensional symptom severity of psychiatric disorders. RESULTS: Nine core regions prominently distributed in frontal and temporal cortices were identified in monkeys and used as seeds to construct the monkey-derived classifier that informed diagnostic classification in human autism. This same set of core regions was useful for diagnostic classification in the OCD cohort but not the ADHD cohort. Models based on functional connections of the right ventrolateral prefrontal cortex with the left thalamus and right prefrontal polar cortex predicted communication scores of ASD patients and compulsivity scores of OCD patients, respectively. CONCLUSIONS: The identified core regions may serve as a basis for building markers for ASD and OCD diagnoses, as well as measures of symptom severity. These findings may inform future development of machine-learning models for psychiatric disorders and may improve the accuracy and speed of clinical assessments.

Habitual versus affective motivations in obsessive-compulsive disorder and alcohol use disorder.

OBJECTIVE: To (1) confirm whether the Habit, Reward, and Fear Scale is able to generate a 3-factor solution in a population of obsessive-compulsive disorder and alcohol use disorder (AUD) patients; (2) compare these clinical groups in their habit, reward, and fear motivations; and (3) investigate whether homogenous subgroups can be identified to resolve heterogeneity within and across disorders based on the motivations driving ritualistic and drinking behaviors. METHODS: One hundred and thirty-four obsessive-compulsive disorder (n = 76) or AUD (n = 58) patients were assessed with a battery of scales including the Habit, Reward, and Fear Scale, the Yale-Brown Obsessive-Compulsive Scale, the Alcohol Dependence Scale, the Behavioral Inhibition/Activation System Scale, and the Urgency, (lack of ) Premeditation, (lack of ) Perseverance, Sensation Seeking, and Positive Urgency Impulsive Behavior Scale. RESULTS: A 3-factor solution reflecting habit, reward, and fear subscores explained 56.6% of the total variance of the Habit, Reward, and Fear Scale. Although the habit and fear subscores were significantly higher in obsessive-compulsive disorder (OCD) and the reward subscores were significantly greater in AUD patients, a cluster analysis identified that the 3 clusters were each characterized by differing proportions of OCD and AUD patients. CONCLUSIONS: While affective (reward- and fear-driven) and nonaffective (habitual) motivations for repetitive behaviors seem dissociable from each other, it is possible to identify subgroups in a transdiagnostic manner based on motivations that do not match perfectly motivations that usually described in OCD and AUD patients.

Classification of comorbidity in obsessive-compulsive disorder: A latent class analysis.

OBJECTIVE: Patients with OCD differ markedly from one another in both number and kind of comorbid disorders. In this study, we set out to identify and characterize homogeneous subgroups of OCD patients based on their comorbidity profile. METHODS: In a cohort of 419 adult subjects with OCD, the lifetime presence of fifteen comorbid disorders was assessed. Latent class analysis was used to identify comorbidity-based subgroups. Groups were compared with regard to core clinical characteristics: familiality, childhood trauma, age at onset, illness severity, OCD symptom dimensions, personality characteristics, and course of illness. RESULTS: The study sample could be divided in a large group (n = 311) with a low amount of comorbidity that could be further subdivided into two subgroups: OCD simplex (n = 147) and OCD with lifetime major depressive disorder (n = 186), and a group (n = 108) with a high amount of comorbidity that could be further subdivided into a general anxiety-related subgroup (n = 49), an autism/social phobia-related subgroup (n = 27), and a psychosis/bipolar-related subgroup (n = 10). Membership of the high-comorbid subgroup was associated with higher scores on childhood trauma, illness severity, and the aggression/checking symptom dimension and lower scores on several personality characteristics. CONCLUSION: Grouping OCD patients based on their comorbidity profile might provide more homogeneous, and therefore, more suitable categories for future studies aimed at unraveling the etiological mechanisms underlying this debilitating disorder.

Sub-graph entropy based network approaches for classifying adolescent obsessive-compulsive disorder from resting-state functional MRI.

This paper presents a novel approach for classifying obsessive-compulsive disorder (OCD) in adolescents from resting-state fMRI data. Currently, the state-of-the-art for diagnosing OCD in youth involves interviews with adolescent patients and their parents by an experienced clinician, symptom rating scales based on Diagnostic and Statistical Manual of Mental Disorders (DSM), and behavioral observation. Discovering signal processing and network-based biomarkers from functional magnetic resonance imaging (fMRI) scans of patients has the potential to assist clinicians in their diagnostic assessments of adolescents suffering from OCD. This paper investigates the clinical diagnostic utility of a set of univariate, bivariate and multivariate features extracted from resting-state fMRI using an information-theoretic approach in 15 adolescents with OCD and 13 matched healthy controls. Results indicate that an information-theoretic approach based on sub-graph entropy is capable of classifying OCD vs. healthy subjects with high accuracy. Mean time-series were extracted from 85 brain regions and were used to calculate Shannon wavelet entropy, Pearson correlation matrix, network features and sub-graph entropy. In addition, two special cases of sub-graph entropy, namely node and edge entropy, were investigated to identify important brain regions and edges from OCD patients. A leave-one-out cross-validation method was used for the final predictor performance. The proposed methodology using differential sub-graph (edge) entropy achieved an accuracy of 0.89 with specificity 1 and sensitivity 0.80 using leave-one-out cross-validation with in-fold feature ranking and selection. The high classification accuracy indicates the predictive power of the sub-network as well as edge entropy metric.

Results of the Nursing Outcomes Classification/NOC for patients with obsessive-compulsive disorder.

OBJECTIVE: To analyze the application of nursing outcomes and indicators selected from the Nursing Outcomes Classification (NOC) to evaluate patients with obsessive-compulsive disorder (OCD) in outpatient follow-up. METHOD: Outcome-based research. First, a consensus was achieved between nurses specialized in mental health (MH) and in the nursing process to select NOC-related outcomes and indicators, followed by the elaboration of their conceptual and operational definitions. Then, an instrument was created with these, which was tested in a pilot group of six patients treated at a MH outpatient clinic. The instrument was applied to patients with OCD undergoing Group Cognitive Behavioral Therapy (GCBT). The study was approved by the Research Ethics Committee of the institution. RESULTS: Four NOC outcomes and 17 indicators were selected. There was a significant change in the scores of nine indicators after CBGT. CONCLUSION: The study showed feasibility for evaluating symptoms of patients with OCD through NOC outcomes and indicators in an outpatient situation.

Trichotillomania is more related to Tourette disorder than to obsessive-compulsive disorder

Objective: Trichotillomania (TTM) is characterized by the pulling out of one's hair. TTM was classified as an impulse control disorder in DSM-IV, but is now classified in the obsessive-compulsive related disorders section of DSM-5. Classification for TTM remains an open question, especially considering its impact on treatment of the disorder. In this review, we questioned the relation of TTM to tic disorder and obsessive-compulsive disorder (OCD). Method: We reviewed relevant MEDLINE-indexed articles on clinical, neuropsychological, neurobiological, and therapeutic aspects of trichotillomania, OCD, and tic disorders. Results: Our review found a closer relationship between TTM and tic disorder from neurobiological (especially imaging) and therapeutic standpoints. Conclusion: We sought to challenge the DSM-5 classification of TTM and to compare TTM with both OCD and tic disorder. Some discrepancies between TTM and tic disorders notwithstanding, several arguments are in favor of a closer relationship between these two disorders than between TTM and OCD, especially when considering implications for therapy. This consideration is essential for patients.

Obsessive-compulsive symptom profiles in individuals exposed to interpersonal versus noninterpersonal trauma.

Obsessive-compulsive (OC) symptoms have been associated with trauma exposure. Although no studies have specified relations between type of trauma and OC symptom presentations, this information may inform personalized care for this complex population. Thus, this study used profile analysis via multidimensional scaling to characterize typical OC symptom profiles in individuals exposed to interpersonal versus noninterpersonal traumas. Profiles were also correlated with self-reported disgust and mental contamination, which have been related to OC symptoms and interpersonal trauma in prior research. The interpersonal trauma group revealed two profiles: (1) Obsessing (high obsessing, low neutralizing), and (2) Ordering (high ordering, low obsessing). The noninterpersonal trauma group showed two profiles: (1) Hoarding/Ordering (high hoarding and ordering, low washing), and (2) Hoarding Only (high hoarding, low ordering). No significant correlations were found between OC profiles and disgust-related constructs. Clinical implications, limitations, and future directions are explored.

Trichotillomania is more related to Tourette disorder than to obsessive-compulsive disorder.

OBJECTIVE: Trichotillomania (TTM) is characterized by the pulling out of one's hair. TTM was classified as an impulse control disorder in DSM-IV, but is now classified in the obsessive-compulsive related disorders section of DSM-5. Classification for TTM remains an open question, especially considering its impact on treatment of the disorder. In this review, we questioned the relation of TTM to tic disorder and obsessive-compulsive disorder (OCD). METHOD: We reviewed relevant MEDLINE-indexed articles on clinical, neuropsychological, neurobiological, and therapeutic aspects of trichotillomania, OCD, and tic disorders. RESULTS: Our review found a closer relationship between TTM and tic disorder from neurobiological (especially imaging) and therapeutic standpoints. CONCLUSION: We sought to challenge the DSM-5 classification of TTM and to compare TTM with both OCD and tic disorder. Some discrepancies between TTM and tic disorders notwithstanding, several arguments are in favor of a closer relationship between these two disorders than between TTM and OCD, especially when considering implications for therapy. This consideration is essential for patients.

Neurological Soft Signs and Clinical Features of Tic-Related Obsessive-Compulsive Disorder Indicate a Unique Subtype.

Tic-related obsessive-compulsive disorder (OCD) may be a unique OCD subtype. This study examined whether neurological soft signs (NSSs) of patients with tic-related and tic-free OCD enable discrimination of these subgroups. We used the Neurological Evaluation Scale to assess 32 patients with tic-related and 94 with tic-free OCD, as well as 84 controls. Most patients with tic-related OCD were male, with earlier illness onset and poorer insight scores than those of patients with tic-free OCD. Patients with tic-related OCD had poorer motor coordination, sensory integration, and motor sequencing than did tic-free patients. Logistic regression using NSS subscale scores predicted tic-related OCD. Patients with tic-related OCD displayed greater neurodevelopmental abnormalities than did tic-free patients. NSSs of the former group suggest the need to separate this subgroup. Our results also support the newly introduced tic-related specifier in the fifth edition of the Diagnostic and statistical manual of mental disorders.

Results of the Nursing Outcomes Classification/NOC for patients with obsessive-compulsive disorder / Resultados de la Nursing Outcomes Classification/NOC para pacientes con trastorno obsesivo-compulsivo / Resultados da Nursing Outcomes Classification/NOC para pacientes com transtorno obsessivo-compulsivo

ABSTRACT Objective: To analyze the application of nursing outcomes and indicators selected from the Nursing Outcomes Classification (NOC) to evaluate patients with obsessive-compulsive disorder (OCD) in outpatient follow-up. Method: Outcome-based research. First, a consensus was achieved between nurses specialized in mental health (MH) and in the nursing process to select NOC-related outcomes and indicators, followed by the elaboration of their conceptual and operational definitions. Then, an instrument was created with these, which was tested in a pilot group of six patients treated at a MH outpatient clinic. The instrument was applied to patients with OCD undergoing Group Cognitive Behavioral Therapy (GCBT). The study was approved by the Research Ethics Committee of the institution. Results: Four NOC outcomes and 17 indicators were selected. There was a significant change in the scores of nine indicators after CBGT. Conclusion: The study showed feasibility for evaluating symptoms of patients with OCD through NOC outcomes and indicators in an outpatient situation.

RESUMEN Objetivo: Evaluar la aplicación de resultados e indicadores de enfermería seleccionados en la Nursing Outcomes Classification (NOC) para examinar a los pacientes con Trastorno Obsesivo-Compulsivo (TOC) en seguimiento ambulatorio. Método: Investigación de resultados. Primeramente, se realizó un acuerdo entre enfermeros expertos en salud mental (SM) y en proceso de enfermería para seleccionar los resultados e indicadores de la NOC, seguido de la elaboración de sus definiciones conceptuales y operativas. Después, se construyó un instrumento con las informaciones recolectadas, y lo aplicaron a un grupo piloto con seis pacientes, que recibían atención en el ambulatorio de SM. Se aplicó el instrumento a los pacientes con TOC, sometidos a Terapia Cognitivo-Conductual en Grupo (TCCG). Estudio aprobado por el Comité de Ética en Investigación de la institución. Resultados: Se seleccionaron cuatro resultados y 17 indicadores NOC. Se observó una modificación significativa de los puntajes de nueve indicadores después de la TCCG. Conclusión: El estudio apuntó la viabilidad de evaluación de los síntomas de pacientes con TOC por medio de los resultados e indicadores de la NOC en el ámbito ambulatorio.

RESUMO Objetivo: Analisar a aplicação de resultados e indicadores de enfermagem selecionados na Nursing Outcomes Classification (NOC) para avaliar pacientes com Transtorno Obsessivo-Compulsivo (TOC) em acompanhamento ambulatorial. Método: Pesquisa de resultados. Primeiro, realizou-se consenso entre enfermeiros especialistas em saúde mental (SM) e em processo de enfermagem para seleção de resultados e indicadores da NOC, seguido da elaboração das suas definições conceituais e operacionais. Depois, construiu-se um instrumento com estes, que foi testado em grupo piloto de seis pacientes atendidos em ambulatório de SM. O instrumento foi aplicado aos pacientes com TOC submetidos a Terapia Cognitivo-Comportamental em Grupo (TCCG). Estudo aprovado pelo Comitê de Ética em Pesquisa da instituição. Resultados: Foram selecionados quatro resultados e 17 indicadores NOC. Observou-se modificação significativa dos escores de nove indicadores após a TCCG. Conclusão: O estudo apontou viabilidade de avaliação dos sintomas de pacientes com TOC através dos resultados e indicadores da NOC em cenário ambulatorial.

Effect of Fluoxetine on Obsessive-Compulsive Behaviors in Children and Adolescents With Autism Spectrum Disorders: A Randomized Clinical Trial.

Importance: Selective serotonin receptor inhibitors are prescribed to reduce the severity of core behaviors of autism spectrum disorders, but their efficacy remains uncertain. Objective: To determine the efficacy of fluoxetine for reducing the frequency and severity of obsessive-compulsive behaviors in autism spectrum disorders. Design, Setting, and Participants: Multicenter, randomized, placebo-controlled clinical trial. Participants aged 7.5-18 years with autism spectrum disorders and a total score of 6 or higher on the Children's Yale-Brown Obsessive Compulsive Scale, modified for pervasive developmental disorder (CYBOCS-PDD) were recruited from 3 tertiary health centers across Australia. Enrollment began November 2010 and ended April 2017. Follow-up ended August 2017. Interventions: Participants were randomized to receive fluoxetine (n = 75) or placebo (n = 71). Study medication was commenced at 4 or 8 mg/d for the first week, depending on weight, and then titrated to a maximum dose of 20 or 30 mg/d over 4 weeks. Treatment duration was 16 weeks. Main Outcomes and Measures: The primary outcome was the total score on the CYBOCS-PDD (scores range from 0-20; higher scores indicate higher levels of maladaptive behaviors; minimal clinically important difference, 2 points) at 16 weeks postrandomization, analyzed with a linear regression model adjusted for stratification factors (site, age at baseline, and intellectual disability), with an additional prespecified model that included additional adjustment for baseline score, sex, communication level, and imbalanced baseline and demographic variables. Results: Among the 146 participants who were randomized (85% males; mean age, 11.2 years), 109 completed the trial; 31 in the fluoxetine group and 21 in the placebo group dropped out or did not complete treatment. The mean CYBOCS-PDD score from baseline to 16 weeks decreased in the fluoxetine group from 12.80 to 9.02 points (3.72-point decrease; 95% CI, -4.85 to -2.60) and in the placebo group from 13.13 to 10.89 points (2.53-point decrease; 95% CI, -3.86 to -1.19). The between-group mean difference at 16 weeks was -2.01 (95% CI, -3.77 to -0.25; P = .03) (adjusted for stratification factors), and in the prespecified model with further adjustment, it was -1.17 (95% CI, -3.01 to 0.67; P = .21). Conclusions and Relevance: In this preliminary study of children and adolescents with autism spectrum disorders, treatment with fluoxetine compared with placebo resulted in significantly lower scores for obsessive-compulsive behaviors at 16 weeks. Interpretation is limited by the high dropout rate, null findings of prespecified analyses that accounted for potentially confounding factors and baseline imbalances, and CIs for the treatment effect that included the minimal clinically important difference. Trial Registration: anzctr.org.au Identifier: ACTRN12608000173392.

Obsessive-compulsive or addiction? Categorical diagnostic analysis of excoriation disorder compared to obsessive-compulsive disorder and gambling disorder.

Excoriation disorder (ED) is currently classified in the 5th edition of the Diagnostic and Statistical Manual of Mental Disorders' Obsessive-compulsive and Related Disorders section (OCRD). However, there remain debates regarding whether ED is related to obsessive-compulsive disorder (OCD) or whether it is better conceptualized as a behavioral addiction. The present research compared the diagnostic overlap and psychiatric comorbidities of 121 individuals seeking treatment for ED (n = 40), OCD (n = 41) and gambling disorder (GD) (n = 40). ED was more likely to overlap with OCD (n = 14) than GD (n = 3). Compared to OCD, ED had similar frequencies of other body focused repetitive behaviors (BFRBs), but higher frequency of addictive behaviors (Odds Ratio - OR = 11.82). In comparison to GD, ED had similar frequencies of addictive behaviors, but higher frequency of BFRBs (OR=19.67). The results support the recent classification of ED as an OCRD. However, ED presents an association with behavioral addictions that suggests a mixed impulsive-compulsive nature. A limitation of the present research was the use of a non-validated semi-structured clinical interview to diagnose impulse control disorders. Future research should examine other characteristics (e.g., epidemiology, neurobiology, genetics, treatment response) to further investigate whether ED should remain classified as an OCRD.

Personality disorder traits in young adults with subclinical obsessive-compulsive symptoms: Not just traits related to obsessive- compulsive personality.

Research is scarce regarding personality disorder traits of individuals with subclinical obsessive-compulsive symptoms. Cluster analysis based on obsessional, schizotypal, and borderline personality and autism-spectrum features was conducted on the results for 118 students scoring above cutoff on the Obsessive Compulsive Inventory-Revised. This identified four groups: O, L, S, and A. One third of the sample was represented by individuals with obsessional traits (O), while another third was composed of individuals with low traits (L); the last two profiles corresponded to a cluster with autistic traits (A) and a group with schizotypal and borderline features (S), both clusters together comprising the remaining third. Significant differences were observed between groups, both on personality traits and on psychopathological symptoms. The S cluster displayed the highest scores of suicidality, depression, and obsessive-compulsive symptoms. This study identified meaningful profiles of personality disorder traits, distinct from obsessive-compulsive personality, in individuals with subclinical obsessive-compulsive symptoms.

A comparison of cluster and factor analytic techniques for identifying symptom-based dimensions of obsessive-compulsive disorder.

A growing body of literature suggests that obsessive-compulsive disorder (OCD) is a heterogeneous condition. The studies investigating symptom dimensions have been limited by numerous methodological differences and sample characteristics. The purpose of this study was to compare the two most commonly applied statistical techniques used in addressing this question in the same large cohort of individuals with OCD. Both cluster analysis and factor analysis were used to examine OCD symptom data as measured by the Yale-Brown Obsessive Compulsive Scale (Y-BOCS) Symptom Checklist for 355 individuals with a primary diagnosis of OCD. The factor analysis revealed a three-factor model best described as symmetry obsessions/ordering compulsions, contamination obsessions/cleaning compulsions and aggressive obsessions/checking compulsions. In contrast, the cluster analysis yielded a stable four-cluster solution best described as symmetry obsessions/ordering compulsions, contamination obsessions/cleaning compulsions, aggressive-somatic-religious obsessions/checking compulsions and a mixed symptom profile. Although there was overlap in the models resulting from these two statistical approaches, cluster analysis better captured the dimensional nature of OCD by demonstrating the prevalence of symptom categories in each subgroup. Though both analyses are capable of providing similar outputs, the validity of these results is limited given the input of a priori symptom categories from the Y-BOCS.

Aberrant functional connectivity density in patients with treatment-refractory obsessive-compulsive disorder: a pilot study.

OBJECTIVE: Functional connectivity (FC) is altered in patients with obsessive-compulsive disorder (OCD). Most previous studies have focused on the strength of FC in patients with OCD; few have examined the number of functional connections in these patients. The number of functional connections is an important index for assessing aberrant FC. In the present study, we used FC density (FCD) mapping to explore alterations in the number of functional connections in patients with treatment-refractory OCD (TROCD) using the FCD index. METHODS: Twenty patients with TROCD and 20 patients with OCD in clinical remission were enrolled in the study. Global FCD (gFCD) was adopted to compare the differences between the two groups of patients. RESULTS: The gFCD in the left middle temporal gyrus was lower in the patients with TROCD than in those with remitted OCD, suggesting that decreased information processing ability may play a significant role in TROCD. CONCLUSION: The left middle temporal gyrus is a key component of the emotional processing circuit and attentional processing circuit. Decreased information processing ability in this brain region may play a significant role in TROCD; however, further well-designed follow-up studies are needed to support this hypothesis.

What type of worker are you? Work-related Inventory (WI-10): A comprehensive instrument for the measurement of workaholism.

BACKGROUND: In literature, there are many instruments for evaluating workaholism; however, they do not have convergent validity, because of the lack of a shared definition of workaholism. OBJECTIVE: We propose a new instrument for evaluating workaholism and work engagement, namely the Work-related Inventory (WI-10), which is based on Loscalzo and Giannini's (2017) comprehensive definition of workaholism. METHODS: We developed a pool of 36 items, covering: 1) addiction symptoms; 2) obsessive-compulsive symptoms, and 3) work engagement. Then, we conducted Exploratory and Confirmatory Factor analyses on a sample of 503 Italian workers (165 males, 337 females, one missing; Mean age = 38.26±10.84) aiming to reduce the number of items. RESULTS: The results showed a 10-items (2 filler) and 2-factor solution: 1) Workaholism and 2) Work Engagement; moreover, the WI-10 has good internal reliability, convergent and divergent validity. CONCLUSIONS: We found good psychometric properties for the WI-10. We also proposed the cut-off scores for the screening of the four kinds of workers proposed by Loscalzo and Giannini (2017): disengaged workaholics, engaged workaholics, engaged workers, and detached workers. The WI-10 will be useful for both research and preventive and clinical purposes.

Neuroanatomical features and its usefulness in classification of patients with PANDAS.

OBJECTIVE: An obsessive-compulsive disorder (OCD) subtype has been associated with streptococcal infections and is called pediatric autoimmune neuropsychiatric disorders associated with streptococci (PANDAS). The neuroanatomical characterization of subjects with this disorder is crucial for the better understanding of its pathophysiology; also, evaluation of these features as classifiers between patients and controls is relevant to determine potential biomarkers and useful in clinical diagnosis. This was the first multivariate pattern analysis (MVPA) study on an early-onset OCD subtype. METHODS: Fourteen pediatric patients with PANDAS were paired with 14 healthy subjects and were scanned to obtain structural magnetic resonance images (MRI). We identified neuroanatomical differences between subjects with PANDAS and healthy controls using voxel-based morphometry, diffusion tensor imaging (DTI), and surface analysis. We investigated the usefulness of these neuroanatomical differences to classify patients with PANDAS using MVPA. RESULTS: The pattern for the gray and white matter was significantly different between subjects with PANDAS and controls. Alterations emerged in the cortex, subcortex, and cerebellum. There were no significant group differences in DTI measures (fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity) or cortical features (thickness, sulci, volume, curvature, and gyrification). The overall accuracy of 75% was achieved using the gray matter features to classify patients with PANDAS and healthy controls. CONCLUSION: The results of this integrative study allow a better understanding of the neural substrates in this OCD subtype, suggesting that the anatomical gray matter characteristics could have an immune origin that might be helpful in patient classification.

Determining Anxiety in Obsessive Compulsive Disorder through Behavioural Clustering and Variations in Repetition Intensity.

BACKGROUND AND OBJECTIVES: Over the last decade, the application of computer vision techniques to the analysis of behavioural patterns has seen a considerable increase in research interest. One such interesting and recent application is the visual behavioural analysis of mental disorders. Despite the very recent surge in interest in this area, relatively little has been done thus far to assist individuals living with Obsessive Compulsive Disorder. The work proposed herein represents a proof of concept system designed to demonstrate the efficacy of such an approach, from the computational perspective. The specific focus of this work lies in demonstrating a mechanism for clustering different kinds of Obsessive Compulsive Disorder behaviours and then comparing new behaviours to existing behaviours to determine the approximate level of anxiety represented by a compulsive behaviour. METHODS: The proposed system uses Temporal Motion Heat Maps, SURF descriptors, a visual bag of words model and SVM-based classification to categorise representations of various behaviours commonly seen in OCD. Moreover, we apply a set of statistical measures to the images in a given category in order to derive an approximate anxiety level for a given compulsive behaviour. This proof of concept is an essential step in the direction of integrating computational approaches into the treatment of psychiatric conditions such as Obsessive Compulsive Disorder, for more effective recovery. RESULTS: Results gleaned from experimental simulations indicate that the proposed system is capable of correctly classifying different types of simulated Obsessive Compulsive Disorder behaviour classes 75% of the time, with the misclassifications almost exclusively occurring when two behavioural clusters appear highly similar. Based on this information the proposed system is then able to assign an approximate behavioural anxiety level to the compulsive behaviours that meets the approval of a mental health professional. CONCLUSIONS: The proposed system demonstrates a good ability to categorise various types of simulated OCD behaviour, in addition to establishing an approximate anxiety level for a given compulsive behaviour. This research demonstrates strong potential for the use of such systems in assisting mental health professionals looking to better understand their patients' condition and treatment progress across time.

Presidential Address: Are the Obsessive-Compulsive Related Disorders Related to Obsessive-Compulsive Disorder? A Critical Look at DSM-5's New Category.

The 5th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM) includes a new class of obsessive-compulsive and related disorders (OCRDs) that includes obsessive-compulsive disorder (OCD) and a handful of other putatively related conditions. Although this new category promises to raise awareness of underrecognized and understudied problems, the empirical validity and practical utility of this new DSM category is questionable. This article critically examines the arguments underlying the new OCRD class, illuminates a number of problems with this class, and then discusses implications for clinicians and researchers.