Related Experiment Video
Updated: Jul 20, 2026
09:14
Exploring the Neural Correlates of Cognitive Reappraisal in Obsessive-Compulsive Disorder Using Task-based Functional Magnetic Resonance Imaging
Published on: March 14, 2025
Evaluating brain activity in obsessive-compulsive disorder: preliminary insights from a multivariate analysis.
Ben J Harrison1, Murat Yücel, Marnie Shaw
1Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia. habj@unimelb.edu.au
Psychiatry Research
|September 5, 2006
Summary
This study reveals that multivariate analysis better detects abnormal brain activity in the corticostriatal networks of individuals with obsessive-compulsive disorder (OCD). This network-sensitive approach enhances understanding of OCD
Area of Science:
- Neuroscience
- Psychiatry
- Medical Imaging
Background:
- Obsessive-compulsive disorder (OCD) is associated with corticostriatal network dysfunction.
- Functional neuroimaging studies in OCD often lack network-sensitive analytical methods.
Purpose of the Study:
- To compare univariate and multivariate analysis of Positron Emission Tomography (PET) data in OCD patients and healthy controls.
- To evaluate the suitability of multivariate approaches for characterizing brain functional networks in OCD.
Main Methods:
- PET data from OCD patients and healthy subjects were analyzed using both univariate and multivariate methods.
- Multivariate analysis was employed to characterize functional brain networks.
Main Results:
- Both univariate and multivariate analyses indicated abnormal corticostriatal activity in OCD patients.
- The multivariate approach significantly enhanced the detection of the nature, extent, and magnitude of this abnormal activity compared to the univariate method.
Conclusions:
- Multivariate analysis is superior for detecting and characterizing corticostriatal network abnormalities in OCD.
- Findings suggest implications for refining neuroimaging analysis techniques in psychiatric research.
