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Updated: May 29, 2025

Signal Attenuation as a Rat Model of Obsessive Compulsive Disorder
Published on: January 9, 2015
Decoding Obsessive-Compulsive Disorder: The Regional Vulnerability Index and Its Association With Clinical Symptoms
Kathrin Koch1, Daniela Rodriguez Manrique2, Sandra Gigl3
1School of Medicine and Health, Department of Diagnostic and Interventional Neuroradiology, Technical University of Munich, Munich, Germany; School of Medicine and Health, Technical University of Munich Neuroimaging Center, Technical University of Munich, Munich, Germany.
Background:
Patients with obsessive-compulsive disorder (OCD) exhibit notable alterations in brain structure, which are likely to be of clinical relevance. Recently, in schizophrenia, the regional vulnerability index (RVI) was introduced to translate findings from ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) studies to the individual level. Building on this framework, in the current study, we sought to investigate whether the RVI might also serve as a vulnerability index for OCD.
Methods:
Toward this aim, we assessed subcortical volume and cortical thickness in a sample of 250 participants (140 patients with OCD, 110 healthy volunteers) and calculated the RVI by leveraging ENIGMA-derived deficits as the "ground truth" for expected regional brain alterations.
Results:
Subcortical volume and cortical thickness RVI values were significantly different in patients compared with healthy control participants. In addition, RVI values based on subcortical volume were significantly correlated with the severity of clinical symptoms. Moreover, RVI values for both subcortical volume and cortical thickness were significantly different in medicated subgroups while there was no significant difference in unmedicated patients.
Conclusions:
The current results suggest that the RVI may represent an individual characteristic that reflects the degree of correspondence between individual patterns of structural alterations and disease-characteristic patterns of structural alterations. However, our findings also indicate that relatively large effect sizes in the meta-analytic ground truth are a prerequisite for obtaining a meaningful RVI parameter that can also be related to clinical severity. Therefore, the current findings require further validation through additional research to confirm the RVI's robustness and determine its predictive value.
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