Building upon semantic network models, it is proposed that individuals with obsessive-compulsive disorder (OCD) process ambiguous words (e.g., homographs such as cancer) preferably in the context of the OC meaning (i.e., illness) and connect them to a lesser degree to other (neutral) cognitions (e.g., animal). To investigate this assumption, a new task was designed requiring participants to generate up to five associations for different cue words. Cue words were either emotionally neutral, negative or OC-relevant. Two thirds of the items were homographs, while the rest was unambiguous. Twenty-five OCD and 21 healthy participants were recruited via internet. Analyses reveal that OCD participants produced significantly more negative and OC-relevant associations than controls, supporting the assumption of biased associative networks in OCD. The findings support the use of psychological interventions such as Association Splitting that aim at restructuring associative networks in OCD by broadening the semantic scope of OC cognitions.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.janxdis.2009.07.003 | DOI Listing |
Arch Womens Ment Health
March 2025
Department of Psychiatry, Massachusetts General Hospital, B62 13th Street, Charlestown, MA, 02129, USA.
Purpose: Women with a history of sexual trauma (ST) have heightened risk for postpartum psychopathology. Although ST increases risk for traumatic delivery and maternal psychopathology, knowledge of the functional connections among various psychiatric symptoms and complicated delivery remains limited.
Methods: We used regularized partial correlation networks to examine connections between symptoms of childbirth-related PTSD (CB-PTSD), depression, anxiety, somatization, obsessive-compulsive disorder, and complicated delivery (e.
Front Hum Neurosci
February 2025
Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United States.
The Deep Brain Stimulation (DBS) Think Tank XII was held on August 21st to 23rd. This year we showcased groundbreaking advancements in neuromodulation technology, focusing heavily on the novel uses of existing technology as well as next-generation technology. Our keynote speaker shared the vision of using neuro artificial intelligence to predict depression using brain electrophysiology.
View Article and Find Full Text PDFJ Psychiatr Res
February 2025
Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, 510630, China. Electronic address:
Bipolar disorder (BD) is highly comorbid with obsessive-compulsive disorder (OCD), leading to poor treatment outcome and prognosis. However, the neurobiological mechanisms underlying BD comorbid with OCD remain poorly understood. To address it, we recruited 69 untreated patients with bipolar II depression, including 35 comorbid with OCD (BD-II-Depression-OCD) and 34 without OCD (BD-II-Depression-nonOCD), and 38 healthy controls (HC).
View Article and Find Full Text PDFBMC Psychol
March 2025
Department of General Psychology, University of Padova, Via Venezia 8, Padova, 35131, Italy.
Purpose: Orthorexia Nervosa (ON) exhibits specific features that may overlap with Obsessive-Compulsive Disorder (OCD), Perfectionism Striving (PS), and Perfectionism Concern (PC). While previous literature has shown predictiveness in different characteristics of ON, this study aimed to determine if PS, PC and OCD symptoms could predict ON dimensions in at-risk populations using Bayesian models.
Method: The study enrolled 622 individuals from three different at-risk populations: people who were following treatment for an Eating Disorder (Patients), people who were following a diet (Dieters) and University students with a degree in medicine or nursing (Students).
Lipids Health Dis
March 2025
Department of Human Neuroscience, Faculty of Medicine and Dentistry, Sapienza, University of Rome, Rome, Italy.
Introduction: This systematic review explores the hypothesis that various lipid categories and lipid metabolism-related genomic variations link to mental disorders, seeking potential clinically useful markers.
Methods: We searched PubMed, Scopus, and PsycInfo databases until October 12th, 2024, using terms related to lipidomics, lipid-related genomics, and different mental disorders, i.e.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!