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Related Concept Videos

Obsessive-Compulsive Disorder01:28

Obsessive-Compulsive Disorder

Obsessive-compulsive disorder (OCD) is a mental health condition characterized by recurrent obsessions, compulsions, or both, which consume significant time and interfere with daily functioning. Obsessions involve persistent, intrusive, and unwanted thoughts, images, or urges that evoke anxiety. Common examples include irrational fears of contamination or harm. Compulsions are repetitive behaviors or mental acts performed to reduce the anxiety caused by obsessions. For instance, individuals...

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Regional, functional and transcriptomic decoding of multidimensional brain structure alterations in obsessive-compulsive disorder.

Nature communications·2026
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Resting-state functional connectivity alterations in obsessive-compulsive disorder: relationships between connectivity and clinical profiles in the Global OCD study.

Biological psychiatry. Cognitive neuroscience and neuroimaging·2026
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Toward trustworthy clinical AI for obsessive-compulsive disorder: reliability, generalizability, and interpretability of a transformer model across the ENIGMA-OCD consortium.

medRxiv : the preprint server for health sciences·2026
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Structural brain findings associated with clinical profiles but not diagnosis in unmedicated adults with obsessive-compulsive disorder: the Global OCD study.

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Disrupted Higher-Order Topology in OCD Brain Networks Revealed by Hodge Laplacian - an ENIGMA Study.

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Related Experiment Video

Updated: May 10, 2026

Exploring the Neural Correlates of Cognitive Reappraisal in Obsessive-Compulsive Disorder Using Task-based Functional Magnetic Resonance Imaging
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

Predicting obsessive-compulsive disorder severity combining neuroimaging and machine learning methods.

Marcelo Q Hoexter1, Euripedes C Miguel, Juliana B Diniz

  • 1Department & Institute of Psychiatry, University of São Paulo Medical School, Rua Ovídio Pires de Campos 785, 3° Andar Ala Norte, Sala 9 (PROTOC), CEP 05403-010, São Paulo, Brazil. mqhoexter@gmail.com

Journal of Affective Disorders
|June 18, 2013
PubMed
Summary
This summary is machine-generated.

Machine learning accurately predicted obsessive-compulsive disorder (OCD) symptom severity using structural MRI scans. This approach may identify neurobiological markers for predicting OCD severity.

Keywords:
Machine learningMagnetic resonance imagingNeuroimagingObsessive–compulsive disorderSupport vector regressionSymptom severity

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Last Updated: May 10, 2026

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Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)

Published on: November 27, 2019

Area of Science:

  • Neuroimaging
  • Machine Learning
  • Psychiatry

Background:

  • Machine learning (ML) is increasingly used with structural MRI to differentiate patients from healthy individuals.
  • Predicting psychiatric symptom severity using ML on structural MRI data is less explored.

Purpose of the Study:

  • To assess if gray matter volumes in cortical-subcortical loops can predict obsessive-compulsive disorder (OCD) symptom severity.
  • To apply support vector regression (SVR) for predicting symptom severity in treatment-naïve adult OCD patients.

Main Methods:

  • Support vector regression (SVR) was utilized.
  • Structural MRI data from 37 treatment-naïve adult OCD patients were analyzed.
  • Gray matter volumes within cortical-subcortical loops were examined for predictive information.

Main Results:

  • A significant correlation was found between predicted and observed symptom severity scores (r=0.49 for DY-BOCS, r=0.44 for Y-BOCS).
  • The left medial orbitofrontal cortex and left putamen showed the most discriminative information for predicting symptom severity.
  • The findings suggest ML can identify neurobiological markers from structural MRI for OCD symptom severity.

Conclusions:

  • Machine learning, specifically SVR, shows potential in predicting OCD symptom severity from structural MRI.
  • The study identified specific brain regions (left medial orbitofrontal cortex, left putamen) associated with symptom severity.
  • Results require replication in larger, independent samples due to the current study's small sample size.