White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group.

White matter pathways, typically studied with diffusion tensor imaging (DTI), have been implicated in the neurobiology of obsessive-compulsive disorder (OCD). However, due to limited sample sizes and the predominance of single-site studies, the generalizability of OCD classification based on diffusion white matter estimates remains unclear. Here, we tested classification accuracy using the largest OCD DTI dataset to date, involving 1336 adult participants (690 OCD patients and 646 healthy controls) and 317 pediatric participants (175 OCD patients and 142 healthy controls) from 18 international sites within the ENIGMA OCD Working Group. We used an automatic machine learning pipeline (with feature engineering and selection, and model optimization) and examined the cross-site generalizability of the OCD classification models using leave-one-site-out cross-validation. Our models showed low-to-moderate accuracy in classifying (1) "OCD vs. healthy controls" (Adults, receiver operator characteristic-area under the curve = 57.19 ± 3.47 in the replication set; Children, 59.8 ± 7.39), (2) "unmedicated OCD vs. healthy controls" (Adults, 62.67 ± 3.84; Children, 48.51 ± 10.14), and (3) "medicated OCD vs. unmedicated OCD" (Adults, 76.72 ± 3.97; Children, 72.45 ± 8.87). There was significant site variability in model performance (cross-validated ROC AUC ranges 51.6-79.1 in adults; 35.9-63.2 in children). Machine learning interpretation showed that diffusivity measures of the corpus callosum, internal capsule, and posterior thalamic radiation contributed to the classification of OCD from HC. The classification performance appeared greater than the model trained on grey matter morphometry in the prior ENIGMA OCD study (our study includes subsamples from the morphometry study). Taken together, this study points to the meaningful multivariate patterns of white matter features relevant to the neurobiology of OCD, but with low-to-moderate classification accuracy. The OCD classification performance may be constrained by site variability and medication effects on the white matter integrity, indicating room for improvement for future research.

The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium.

Current knowledge about functional connectivity in obsessive-compulsive disorder (OCD) is based on small-scale studies, limiting the generalizability of results. Moreover, the majority of studies have focused only on predefined regions or functional networks rather than connectivity throughout the entire brain. Here, we investigated differences in resting-state functional connectivity between OCD patients and healthy controls (HC) using mega-analysis of data from 1024 OCD patients and 1028 HC from 28 independent samples of the ENIGMA-OCD consortium. We assessed group differences in whole-brain functional connectivity at both the regional and network level, and investigated whether functional connectivity could serve as biomarker to identify patient status at the individual level using machine learning analysis. The mega-analyses revealed widespread abnormalities in functional connectivity in OCD, with global hypo-connectivity (Cohen's d: -0.27 to -0.13) and few hyper-connections, mainly with the thalamus (Cohen's d: 0.19 to 0.22). Most hypo-connections were located within the sensorimotor network and no fronto-striatal abnormalities were found. Overall, classification performances were poor, with area-under-the-receiver-operating-characteristic curve (AUC) scores ranging between 0.567 and 0.673, with better classification for medicated (AUC = 0.702) than unmedicated (AUC = 0.608) patients versus healthy controls. These findings provide partial support for existing pathophysiological models of OCD and highlight the important role of the sensorimotor network in OCD. However, resting-state connectivity does not so far provide an accurate biomarker for identifying patients at the individual level.

Risk clustering and psychopathology from a multi-center cohort of Indian children, adolescents, and young adults.

Developmental adversities early in life are associated with later psychopathology. Clustering may be a useful approach to group multiple diverse risks together and study their relation with psychopathology. To generate risk clusters of children, adolescents, and young adults, based on adverse environmental exposure and developmental characteristics, and to examine the association of risk clusters with manifest psychopathology. Participants (n = 8300) between 6 and 23 years were recruited from seven sites in India. We administered questionnaires to elicit history of previous exposure to adverse childhood environments, family history of psychiatric disorders in first-degree relatives, and a range of antenatal and postnatal adversities. We used these variables to generate risk clusters. Mini-International Neuropsychiatric Interview-5 was administered to evaluate manifest psychopathology. Two-step cluster analysis revealed two clusters designated as high-risk cluster (HRC) and low-risk cluster (LRC), comprising 4197 (50.5%) and 4103 (49.5%) participants, respectively. HRC had higher frequencies of family history of mental illness, antenatal and neonatal risk factors, developmental delays, history of migration, and exposure to adverse childhood experiences than LRC. There were significantly higher risks of any psychiatric disorder [Relative Risk (RR) = 2.0, 95% CI 1.8-2.3], externalizing (RR = 4.8, 95% CI 3.6-6.4) and internalizing disorders (RR = 2.6, 95% CI 2.2-2.9), and suicidality (2.3, 95% CI 1.8-2.8) in HRC. Social-environmental and developmental factors could classify Indian children, adolescents and young adults into homogeneous clusters at high or low risk of psychopathology. These biopsychosocial determinants of mental health may have practice, policy and research implications for people in low- and middle-income countries.

Efficacy of Repetitive Transcranial Magnetic Stimulation on Comorbid Anxiety and Depression Symptoms in Obsessive-Compulsive Disorder: A Meta-Analysis of Randomized Sham-Controlled Trials.

OBJECTIVE: To systematically evaluate the efficacy of repetitive transcranial magnetic stimulation (rTMS) in reducing comorbid anxiety and depressive symptoms in patients with obsessive-compulsive disorder (OCD). METHODS: Three electronic databases were searched for randomized, sham-controlled clinical trials evaluating rTMS for the treatment of OCD. Hedge's g was calculated as the effect size for anxiety/depression symptom severity (primary outcome) and OCD severity (secondary outcome). Subgroup analyses and meta-regression analyses were carried out to evaluate the most promising target and whether a reduction in OCD severity moderates the change in anxiety or depression scores. RESULTS: Twenty studies (n = 688) were included in the meta-analysis. rTMS had small-medium effect size on OCD (Hedge's g = 0.43; 95% confidence interval [CI]: [0.20, 0.65]; P < 0.001), anxiety (Hedge's g = 0.3; 95% CI: [0.11, 0.48]; P = 0.001) and depression (Hedge's g = 0.24; 95% CI: [0.07, 0.40]; P = 0.003) symptoms. Subgroup analysis showed that protocols targeting dorsolateral prefrontal cortex (DLPFC) were effective for 3 outcome measures. The change in anxiety, but not depression severity, was moderated by a change in OCD symptom scores. However, the findings are uncertain as a majority of the studies had some concerns or a high risk of bias. CONCLUSIONS: Active rTMS protocol targeting DLPFC is effective in reducing the comorbid anxiety/depression symptoms along with OCD severity. The antidepressant effect is not moderated by the anti-obsessive effect of rTMS.

Impact of the COVID-19 Pandemic on the Short-Term Course of Obsessive-Compulsive Disorder.

ABSTRACT: There is an understandable concern that obsessive-compulsive disorder (OCD) may worsen during the COVID-19 pandemic, but there are little empirical data. We report the impact of COVID-19 pandemic on the short-term course of OCD. A cohort of patients with a primary diagnosis of OCD (n = 240) who were on regular follow-up at a tertiary care specialty OCD clinic in India were assessed telephonically, about 2 months after the declaration of the pandemic ("pandemic" cohort). Data from the medical records of an independent set of patients with OCD (n = 207) who were followed up during the same period, 1 year prior, was used for comparison (historical controls). The pandemic group and historical controls did not differ in the trajectories of the Yale-Brown Obsessive-Compulsive Scale scores (chi-square likelihood ratio test of the group × time interaction = 2.73, p = 0.255) and relapse rate (21% vs. 20%; adjusted odds ratio, 0.81; 95% confidence interval, 0.41-1.59; p = 0.535). Preexisting contamination symptoms and COVID-19-related health anxiety measured by the COVID-Threat Scale did not predict relapse. Only a small proportion of patients (6%) reported COVID-19-themed obsessive-compulsive symptoms. The COVID-19 pandemic, at least in the short run, did not influence the course of illness.

Long-term Outcomes of Intensive Inpatient Care for Severe, Resistant Obsessive-Compulsive Disorder: Résultats à long terme de soins intensifs à des patients hospitalisés pour un trouble obsessionnel-compulsif grave et résistant.

OBJECTIVE: A substantial proportion of severely ill patients with obsessive-compulsive disorder (OCD) do not respond to serotonin reuptake inhibitors (SRIs) and are unable to practice cognitive behavioral therapy (CBT) on an out-patient basis. We report the short-term (at discharge) and long-term (up to 2 years) outcome of a multimodal inpatient treatment program that included therapist-assisted intensive CBT with adjunctive pharmacotherapy for severely ill OCD patients who are often resistant to SRIs and are either unresponsive or unable to practice outpatient CBT. METHODS: A total of 420 patients, admitted between January 2012 and December 2017 were eligible for the analysis. They were evaluated using the Mini International Neuropsychiatric Interview, the Yale-Brown Obsessive Compulsive Scale (YBOCS), and the Clinical Global Impression (CGI) scale. All patients received 4 to 5 therapist-assisted CBT sessions per week along with standard pharmacotherapy. Naturalistic follow-up information at 3, 6, 12, and 24 months were recorded. RESULTS: At baseline, patients were mostly severely ill (YBOCS = 29.9 ± 4.5) and nonresponsive to ≥2 SRIs (83%). Mean duration of inpatient stay was 42.7 ± 25.3 days. At discharge, there was a significant decline in the mean YBOCS score (29.9 ± 4.5 vs. 18.1 ± 7.7, P < .001, Cohen's d = 1.64); 211/420 (50%) were responders (≥35% YBOCS reduction and CGI-I≤2) and an additional 86/420 (21%) were partial responders (25% to 35% YBOCS reduction and CGI-I≤3). Using latent class growth modeling of the follow-up data, 4 distinct classes were identified, which include "remitters" (14.5%), "responders" (36.5%), "minimal responders" (34.7%), and "nonresponders" (14.6%). Shorter duration of illness, better insight, and lesser contamination/washing symptoms predicted better response in both short- and long-term follow-up. CONCLUSION: Intensive, inpatient-based care for OCD may be an effective option for patients with severe OCD and should be considered routinely in those who do not respond with outpatient treatment.

Adverse childhood experiences in families with multiple members diagnosed to have psychiatric illnesses.

OBJECTIVE: Adverse childhood experiences are linked to the development of a number of psychiatric illnesses in adulthood. Our study examined the pattern of adverse childhood experiences and their relation to the age of onset of major psychiatric conditions in individuals from families that had ⩾2 first-degree relatives with major psychiatric conditions (multiplex families), identified as part of an ongoing longitudinal study. METHODS: Our sample consisted of 509 individuals from 215 families. Of these, 268 were affected, i.e., diagnosed with bipolar disorder (n = 61), obsessive-compulsive disorder (n = 58), schizophrenia (n = 52), substance dependence (n = 59) or co-occurring diagnoses (n = 38), while 241 were at-risk first-degree relatives who were either unaffected (n = 210) or had other depressive or anxiety disorders (n = 31). All individuals were evaluated using the Adverse Childhood Experiences - International Questionnaire and total adverse childhood experiences exposure and severity scores were calculated. RESULTS: It was seen that affected males, as a group, had the greatest adverse childhood experiences exposure and severity scores in our sample. A Cox mixed effects model fit by gender revealed that a higher total adverse childhood experiences severity score was associated with significantly increased risk for an earlier age of onset of psychiatric diagnoses in males. A similar model that evaluated the interaction of diagnosis revealed an earlier age of onset in obsessive-compulsive disorder and substance dependence, but not in schizophrenia and bipolar disorder. CONCLUSION: Our study indicates that adverse childhood experiences were associated with an earlier onset of major psychiatric conditions in men and individuals diagnosed with obsessive-compulsive disorder and substance dependence. Ongoing longitudinal assessments in first-degree relatives from these families are expected to identify mechanisms underlying this relationship.

Effectiveness of Venlafaxine in Selective Serotonin Reuptake Inhibitor-Resistant Obsessive-Compulsive Disorder: Experience From a Specialty Clinic in India.

BACKGROUND: Despite its favorable pharmacological profile and efficacy in major depression and anxiety disorders, evidence for the use of venlafaxine in obsessive-compulsive disorder (OCD) is limited. We sought to examine the real-world effectiveness of venlafaxine from a large database of an OCD clinic in India. METHODS: A total of 1704 consecutive patients who registered at the OCD clinic between June 2014 and December 2016 were evaluated with structured interviews and scales. Patients with symptomatic OCD (Yale-Brown Obsessive-Compulsive Severity ≥16) despite treatment with selective serotonin reuptake inhibitors and initiated on venlafaxine were included for analysis. The main outcome measures were response as defined by 35% or more reduction in the Yale-Brown Obsessive-Compulsive Severity total score and "all-cause discontinuation." RESULTS: Of a total of 65 patients who were eligible for analysis, 29(45%) were responders at the end of 16 weeks and 27 (42%) continued to remain on venlafaxine. Repeated measures analysis of variance yielded significant reduction in the Yale-Brown Obsessive-Compulsive Severity total score (F(1.29, 82.4) = 56.54, P < 0.001, partial η = 0.469). On regression analysis, only lower insight (P = 0.048) predicted poor response. CONCLUSIONS: The study suggests that venlafaxine may be useful in a proportion of patients with poor response to selective serotonin reuptake inhibitors and therefore requires to be studied in controlled trials.

Acute and Transient Psychotic Disorders: Newer Understanding.

PURPOSE OF REVIEW: We review the ongoing research in the area of acute and transient psychotic disorders (ATPDs) with regard to their nosology, epidemiology, clinical description, genetics, and neurobiology, examining evidence for distinctiveness or otherwise of ATPDs. We further highlight the lacuna in research in ATPDs. RECENT FINDINGS: Studies on ATPDs as defined in the ICD 10 have been reported from different parts of the world, more so from the developing countries. There is consistent evidence that there exist a group of ATPDs that occur more commonly among females, are often precipitated by stressful life events or exposure to physiological stresses like fever, child birth, are associated with well-adjusted premorbid personality, and show complete recovery in a short period. Although in some cases of ATPDs, there is symptomatic overlap with schizophrenic symptoms in the acute phase, they follow a completely different course and outcome, exhibit genetic distinctiveness, and do not share genetic relationship with schizophrenias or bipolar affective disorder (BPAD). Comparative studies on neurophysiology and neuroimaging in ATPDs and schizophrenias have demonstrated evidence of hyper arousal and hyper metabolism in ATPDs vs hypo arousal and hypo metabolism as noted in the P300 response and on FDG PET studies, respectively. Immune markers such as IL-6, TNF-alpha, and TGF-beta show higher levels in ATPDs as compared to healthy controls. Findings on the neurobiological mechanisms underlying ATPDs, so far, point towards significant differences from those in schizophrenia or BPAD. Although the studies are few and far between, nevertheless, these point towards the possibility of ATPDs as a distinct entity and underscore the need for pursuing alternate hypothesis such as neuro inflammatory or metabolic. Research on ATPDs is limited due to many reasons including lack of harmony between the ICD and DSM diagnostic systems and clinician biases. Available research data supports the validity of ATPDs as a distinct clinical entity. There is also evidence that ATPDs are different from schizophrenias or BPAD on genetic, neuroimaging, neurophysiological, and immunological markers and require further studies.

Long-term impact of the COVID-19 pandemic on obsessive-compulsive disorder.

There is limited data on the long-term effect of the COVID-19 pandemic on obsessive-compulsive disorder (OCD). We report on the course of a cohort of individuals with OCD followed-up over a period of one year during the first wave of the COVID-19 pandemic in India. A cohort of 240 individuals registered at a specialty OCD clinic was regularly followed-up using standardized rating tools at three months, six months, and one year into the onset of the COVID-19 pandemic in India. These were compared with clinical ratings recorded in a comparable historical cohort of 207 individuals with OCD, followed up during a non-pandemic year. The pandemic and non-pandemic (historical control) cohorts did not differ in illness severity and rate of relapse. It was found that COVID-19-related anxiety declined over time. Among those patients who were treatment responders prior to the pandemic, COVID-19-related anxiety and non-adherence to medication predicted a relapse of symptoms. Contrary to our expectations, the rate of relapse and illness trajectory in the pandemic cohort did not differ from the non-pandemic cohort, suggesting that the pandemic did not impact our largely medication-adherent cohort. Adherence to treatment seemed to have a protective effect during the pandemic.

A cross ancestry genetic study of psychiatric disorders from India.

Genome-wide association studies across diverse populations may help validate and confirm genetic contributions to risk of disease. We estimated the extent of population stratification as well as the predictive accuracy of polygenic scores (PGS) derived from European samples to a data set from India. We analysed 2685 samples from two data sets, a population neurodevelopmental study (cVEDA) and a hospital-based sample of bipolar affective disorder (BD) and obsessive-compulsive disorder (OCD). Genotyping was conducted using Illumina's Global Screening Array. Population structure was examined with principal component analysis (PCA), uniform manifold approximation and projection (UMAP), support vector machine (SVM) ancestry predictions, and admixture analysis. PGS were calculated from the largest available European discovery GWAS summary statistics for BD, OCD, and externalizing traits using two Bayesian methods that incorporate local linkage disequilibrium structures (PGS-CS-auto) and functional genomic annotations (SBayesRC). Our analyses reveal global and continental PCA overlap with other South Asian populations. Admixture analysis revealed a north-south genetic axis within India (FST 1.6%). The UMAP partially reconstructed the contours of the Indian subcontinent. The Bayesian PGS analyses indicates moderate-to-high predictive power for BD. This was despite the cross-ancestry bias of the discovery GWAS dataset, with the currently available data. However, accuracy for OCD and externalizing traits was much lower. The predictive accuracy was perhaps influenced by the sample size of the discovery GWAS and phenotypic heterogeneity across the syndromes and traits studied. Our study results highlight the accuracy and generalizability of newer PGS models across ancestries. Further research, across diverse populations, would help understand causal mechanisms that contribute to psychiatric syndromes and traits.

Development, validation and clinical utility of short-term adverse-effects of electroconvulsive therapy (SAVE) checklist.

Electroconvulsive therapy (ECT) is one of the most effective treatments in psychiatry. However, it has many cognitive and non-cognitive adverse effects (AEs). There are lacunae in the literature on systematic assessment of non-cognitive AEs. There is a need for a standard, comprehensive and specific clinical tool to evaluate this. Hence, a checklist of short-term AEs of ECT (SAVE) with a 2-phase assessment was developed. Content validation was done using 15 experts' ratings and predefined content validity ratio and index (CVR and CVI) in a two-stage modified Delphi method. The checklist had a good CVR and CVI with a final tool of 39 items. The tool was sensitive and identified the non-cognitive AEs after ECT. Cardiovascular and musculoskeletal systems displayed the highest incidence. Many participants exhibited delayed recovery in orientation, gait, and stance, highlighting a necessity for meticulous monitoring. SAVE is the first standardised tool to assess short-term ECT-related AEs systematically. This checklist likely identifies clinically significant incidences of adverse effects. Its regular use may enhance the safety of ECT and patient comfort by supporting early identification and intervention for AEs. However, given the transient nature of AEs, further studies are needed to determine their predictive validity for long-term consequences.

Measurement fidelity of clinical assessment methods in a global study on identifying reproducible brain signatures of obsessive-compulsive disorder.

OBJECTIVE: To describe the steps of ensuring measurement fidelity of core clinical measures in a five-country study on brain signatures of obsessive-compulsive disorder (OCD). METHOD: We collected data using standardized instruments, which included the Yale-Brown Obsessive-Compulsive Scale (YBOCS), the Dimensional YBOCS (DYBOCS), the Brown Assessment of Beliefs Scale (BABS), the 17-item Hamilton Depression Scale (HAM-D), the Hamilton Anxiety Scale (HAM-A), and the Structured Clinical Interview for DSM-5 (SCID). Steps to ensure measurement fidelity included translating instruments, developing a clinical decision manual, and continuing reliability training with 11-13 transcripts of each instrument by 13 independent evaluators across sites over 4 years. We use multigroup confirmatory factor analysis (MGCFA) to report interrater reliability (IRR) among the evaluators and factor structure for each scale in 206 participants with OCD. RESULTS: The overall IRR for most scales was high (ICC > 0.94) and remained good to excellent throughout the study. Consistent factor structures (configural invariance) were found for all instruments across the sites, while similarity in the factor loadings for the items (metric invariance) could be established only for the DYBOCS and the BABS. CONCLUSIONS: It is feasible to achieve measurement fidelity of clinical measures in multisite, multilinguistic global studies, despite the challenges inherent to such endeavors. Future studies should not only report IRR but also consider reporting methods of standardization of data collection and measurement invariance to identify factor structures of core clinical measures. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging.

Multiple lines of research provide compelling evidence for a role of the cerebellum in a wide array of cognitive and affective functions, going far beyond its historical association with motor control. Structural and functional neuroimaging studies have further refined understanding of the functional neuroanatomy of the cerebellum beyond its anatomical divisions, highlighting the need for the examination of individual cerebellar subunits in healthy variability and neurological diseases. This paper presents a standardized pipeline for examining cerebellum grey matter morphometry that combines high-resolution, state-of-the-art approaches for optimized and automated cerebellum parcellation (Automatic Cerebellum Anatomical Parcellation using U-Net Locally Constrained Optimization; ACAPULCO) and voxel-based registration of the cerebellum (Spatially Unbiased Infra-tentorial Template; SUIT) for volumetric quantification. The pipeline has broad applicability to a range of neurological diseases and is fully automated, with manual intervention only required for quality control of the outputs. The pipeline is freely available, with substantial accompanying documentation, and can be run on Mac, Windows, and Linux operating systems. The pipeline is applied in a cohort of individuals with Friedreich ataxia (FRDA), and representative results, as well as recommendations on group-level inferential statistical analyses, are provided. This pipeline could facilitate reliability and reproducibility across the field, ultimately providing a powerful methodological approach for characterizing and tracking cerebellar structural changes in neurological diseases.

Determinants of family functioning in caregivers of persons with obsessive-compulsive disorder.

BACKGROUND: Obsessive-compulsive disorder (OCD) is known to cause significant burden to patients and their caregivers. However, there is limited data on its impact on family functioning, especially from families with an adult member having OCD. METHODS: Four hundred subjects, which included treatment-seeking adult OCD patients (n = 200) and their caregivers (n = 200) were recruited. Patients were evaluated using the Mini International Neuropsychiatric Interview (MINI) and the Yale-Brown Obsessive-Compulsive Scale (YBOCS). Caregivers were evaluated using the MINI, the Caregiver Strain Index (CSI), the Hamilton Anxiety Rating Scale (HAM-A), the Hamilton Depression Rating Scale (HAM-D), the Socio-Occupational Functioning Assessment Scale (SOFAS), the Family Accommodation Scale (FAS) and the Connor-David Resilience scale (CD-RISC) in a cross-sectional interview. Family functioning was measured using the OCD Family Functioning (OFF) Scale. Structural equation modeling (SEM) was carried out to evaluate the relationships between the patient and caregiver variables to predict family functioning. RESULTS: From the best-fitting path model, we ascertained that OCD symptoms did not have a direct relationship with family dysfunction. Their effects were in turn was mediated by family accommodation, anxiety, caregiver stress/burden and depression. "Contamination & washing" was the only significant symptom dimension within the model. Caregiver resilience was found to predict only their individual functioning, and not family functioning. LIMITATIONS: Study sample included patients from a tertiary care OCD service, only one caregiver from each patient's family was interviewed. CONCLUSIONS: Evaluating family functioning, addressing it as part of interventional modules for patients and caregivers may help improving treatment outcomes.

Association of SAPAP3 allelic variants with symptom dimensions and pharmacological treatment response in obsessive-compulsive disorder.

Though several SAPAP3 gene knockout studies in mice have implicated its role in compulsivity, human studies have failed to demonstrate its association with obsessive-compulsive disorder (OCD). We examined the association between allelic variants of a single nucleotide polymorphism in the SAPAP3 gene (rs6662980) with specific aspects of the OCD phenotype. A total of 200 individuals with OCD were genotyped using the TaqMan assay. All participants were assessed using the Mini International Neuropsychiatric Interview and the Yale-Brown Obsessive-Compulsive Scale, and their response to serotonin reuptake inhibitors (SRIs) was evaluated over naturalistic treatment and follow-up. After correcting for multiple comparisons, the G allele at rs6662980 was found to be associated with contamination and washing symptoms (p = .003). Logistic regression analysis also showed that presence of the G allele predicted poor response to SRIs (odds ratio [OR] = 2.473, 95% confidence interval [1.157, 5.407], p = .021). Interaction between presence of the G allele and the Contamination and Washing factor score predicted greater SRI resistance (OR = 3.654, [2.761, 4.547], p = .004). We conclude that specific phenotypic manifestations of OCD, which include contamination and washing-related symptoms along with resistance to SRIs, may be affected by variations in the SAPAP3 gene. Limitations of the study are the lack of a dimensional measure for assessing OCD symptoms, the evaluation of treatment response over naturalistic follow-up, and that only a single locus in the SAPAP3 gene was examined. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Familial risk of psychosis in obsessive-compulsive disorder: Impact on clinical characteristics, comorbidity and treatment response.

BACKGROUND: Family studies in obsessive-compulsive disorder (OCD) indicate higher rates of psychosis among their first-degree relatives (FDRs). However, the etiological and clinical relationships between the two disorders remain unclear. We compared the clinical characteristics and pharmacological treatment response in patients diagnosed with OCD with a family history of psychosis (OCD-FHP), with a family history of OCD (OCD-FHO) and those with sporadic OCD (OCD-S). METHODS: A total of 226 patients who met DSM-IV criteria for OCD (OCD-FHP = 59, OCD-FHO = 112, OCD-S = 55) were included for analysis. All patients were evaluated using the Mini International Neuropsychiatric Interview (MINI 6.0.0), Yale-Brown Obsessive-Compulsive Scale (YBOCS), and the Family Interview for Genetic Studies (FIGS). Treatment response was characterized over naturalistic follow-up. RESULTS: The three groups did not differ across any demographic or clinical variables other than treatment response. Patients in the OCD-FHP group were found to have received a greater number of trials with serotonin reuptake inhibitors (SRI) [F (2,223) = 7.99, p < 0.001], were more likely to have failed ≥2 trials of SRIs (χ2 = 8.45, p = 0.014), and less likely to have attained remission (χ2 = 6.57, p = 0.037) CONCLUSIONS: We observed that having a relative with psychosis may predispose to treatment resistance in OCD. Further research on the influence of genetic liability to psychosis on treatment response in OCD may offer novel translational leads.

Neurocognition and its association with adverse childhood experiences and familial risk of mental illness.

Environmental factors such as adverse childhood experiences (ACEs) may affect neurocognition, an endophenotype for several mental illnesses. This study examines the effect of ACEs on neurocognitive performance in first-degree relatives (FDRs) of patients with severe mental illness to determine whether familial risk has a moderating effect on the relationship between ACEs and neurocognition. Unaffected FDRs from multiplex families with severe mental illnesses (schizophrenia, bipolar disorder, obsessive-compulsive disorder, or alcohol use disorder) (n = 324) and healthy controls (with no familial risk) (n = 188) underwent neurocognitive tests for processing speed, new learning, working memory and Theory of Mind. ACEs were measured using the WHO ACE-International Questionnaire (ACE-IQ). Regression models were done to predict each neurocognitive domain by the effect of familial risk, ACE-IQ Score and their interaction (familial risk*ACE-IQ score). The main effect of familial risk predicted poor performance in all domains of neurocognition (p < 0.01), and the interaction had a negative association with global neurocognition (ß = -0.093, p = 0.009), processing speed (ß = -0.109, p = 0.003) and working memory (ß = -0.092, p = 0.01). Among the ACEs sub-domains, only maltreatment (specifically the main effect of physical neglect and the interaction effect of sexual abuse with familial risk) predicted poorer neurocognition. In FDRs of schizophrenia and bipolar disorder, only the main effects of familial risk were significantly associated with poorer neurocognition. We conclude that there is a relationship between ACEs (especially maltreatment) and neurocognitive functioning, which is moderated by the familial risk of mental illnesses. Genetic/familial vulnerability may have a stronger association with neurocognition in schizophrenia and bipolar disorder.