How computational psychiatry can advance the understanding and treatment of obsessive-compulsive disorder

Obsessive-Compulsive Symptoms in the General Population Under Stressful Conditions: Lessons Learned from the COVID-19 Pandemic

Introduction: The COVID-19 pandemic had a negative impact on mental health in the general population. The fear, stress, and uncertainty surrounding that traumatic period could have contributed to the aggravation or possible new onset of obsessive-compulsive symptoms. Methods: The COvid Mental hEalth Trial (COMET) is a nationwide project organized by the University of Campania "Luigi Vanvitelli", designed as an observational investigation that aimed to gather data from a representative sample of the Italian general population. The current study is a report from the main project and it focuses on obsessive-compulsive (OC) symptoms. Results: A total sample of N = 20,720 took part in the survey. N = 2332 individuals had a total Obsessive-Compulsive Inventory-Revised (OCI-R) score greater than or equal to 21 (11.3% of the entire sample), indicating the presence of clinically relevant obsessive-compulsive symptoms. By excluding patients with a history of previous mental illnesses, we still obtained a high number of individuals with an OCI-R score greater than or equal to 21 (N = 2024), representing 10.3% of the overall sample, possibly indicating a new incidence of OC symptoms during the pandemic. Discussion: Our study highlights a substantial new incidence of obsessive-compulsive symptoms in the general public. Risk factors or red flags such as being male, being of working age, living in a highly stressful environment such as one of the Italian regions most affected and severely hit by the pandemic, having higher levels of loneliness, and using substances to cope with stress, should be paid particular attention in order to prevent the development of OC symptoms during a critical and traumatic event such as the COVID-19 pandemic.

Abnormalities of structural covariance of insular subregions in drug-naïve OCD patients

The insula plays a significant role in the neural mechanisms of obsessive-compulsive disorder. Previous studies have identified functional and structural abnormalities in insula in obsessive-compulsive disorder patients. The predictive coding model in the context of interoception can explain the psychological and neuropathological manifestations observed in obsessive-compulsive disorder. The model is based on the degree of laminar differentiation of cerebral cortex. The interindividual differences in a local measure of brain structure often covary with interindividual differences in other brain regions. We investigated the anatomical network involving the insula in a drug-naïve obsessive-compulsive disorder sample. We recruited 58 obsessive-compulsive disorder patients and 84 matched health controls. The cortical thickness covariance maps between groups were compared at each vertex. We also evaluated the modulation of Yale-Brown Obsessive-Compulsive Scale scores and obsessive-compulsive disorder duration on thickness covariance. Our findings indicated that the thickness covariance seeded from granular and dysgranular insula are different compared with controls. The duration and severity of obsessive-compulsive disorder can modulate the thickness covariance of granular and dysgranular insula with posterior cingulate cortex and rostral anterior cingulate cortex. Our results revealed aberrant insular structural characteristics and cortical thickness covariance in obsessive-compulsive disorder patients, contributing to a better understanding of the involvement of insula in the pathological mechanisms underlying obsessive-compulsive disorder.