ArticleHuman brain mapping2014
Multivariate pattern analysis of DTI reveals differential white matter in individuals with obsessive-compulsive disorder.
Article in Human brain mapping, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 5 of them syntheses that pooled it.
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Who cites it
44 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Cerebellar Microstructural Abnormalities in Obsessive-Compulsive Disorder (OCD): a Systematic Review of Diffusion Tensor Imaging Studies.Cerebellum (London, England) · 2024Pooled it
- Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis: A Systematic Review.JAMA network open · 2023Pooled it
- A comprehensive review for machine learning on neuroimaging in obsessive-compulsive disorder.Frontiers in human neuroscience · 2023Pooled it
- Towards a brain-based predictome of mental illness.Human brain mapping · 2020Pooled it
- Multivariate analyses applied to fetal, neonatal and pediatric MRI of neurodevelopmental disorders.NeuroImage. Clinical · 2015Pooled it
- Age of onset of obsessive-compulsive disorder differentially affects white matter microstructure.Molecular psychiatry · 2024Article
- Pathological Networking of Gray Matter Dendritic Density With Classic Brain Morphometries in OCD.JAMA network open · 2023Article
- Dissecting Psychiatric Heterogeneity and Comorbidity with Core Region-Based Machine Learning.Neuroscience bulletin · 2023Review
- Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry.BMC medicine · 2023Article
- Cognitive flexibility: neurobehavioral correlates of changing one's mind.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Amplitude of low-frequency fluctuation-based regional radiomics similarity network: Biomarker for Parkinson's disease.Heliyon · 2023Article
- Visual expertise modulates resting-state brain network dynamics in radiologists: a degree centrality analysis.Frontiers in neuroscience · 2023Article
- Normalization effect of levodopa on hierarchical brain function in Parkinson's disease.Network neuroscience (Cambridge, Mass.) · 2022Article
- Aberrant interhemispheric functional reciprocities of the default mode network and motor network in subcortical ischemic stroke patients with motor impairment: A longitudinal study.Frontiers in neurology · 2022Article
- Predicting response to tVNS in patients with migraine using functional MRI: A voxels-based machine learning analysis.Frontiers in neuroscience · 2022Article
- Impaired Functional Homotopy and Topological Properties Within the Default Mode Network of Children With Generalized Tonic-Clonic Seizures: A Resting-State fMRI Study.Frontiers in neuroscience · 2022Article
- White matter degeneration in remote brain areas of stroke patients with motor impairment due to basal ganglia lesions.Human brain mapping · 2021Article
- Cellular and Extracellular White Matter Abnormalities in Obsessive-Compulsive Disorder: A Diffusion Magnetic Resonance Imaging Study.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2021Article
- Translational application of neuroimaging in major depressive disorder: a review of psychoradiological studies.Frontiers of medicine · 2021Review
- Artificial intelligence applications in psychoradiology.Psychoradiology · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diffusion tensor imaging (DTI) studies have revealed group differences in white matter between patients with obsessive-compulsive disorder (OCD) and healthy controls. However, the results of these studies were based on average differences between the two groups, and therefore had limited clinical applicability. The objective of this study was to investigate whether fractional anisotropy (FA) of white matter can be used to discriminate between patients with OCD and healthy controls at the level of the individual. DTI data were acquired from 28 OCD patients and 28 demographically matched healthy controls, scanned using a 3T MRI system. Differences in FA values of white matter between OCD and healthy controls were examined using a multivariate pattern classification technique known as support vector machine (SVM). SVM applied to FA images correctly identified OCD patients with a sensitivity of 86% and a specificity of 82% resulting in a statistically significant accuracy of 84% (P ≤ 0.001). This discrimination was based on a distributed network including bilateral prefrontal and temporal regions, inferior fronto-occipital fasciculus, superior fronto-parietal fasciculus, splenium of corpus callosum and left middle cingulum bundle. The present study demonstrates subtle and spatially distributed white matter abnormalities in individuals with OCD, and provides preliminary support for the suggestion that that these could be used to aid the identification of individuals with OCD in clinical practice.
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