ArticleHuman brain mapping2018
Network-based decoupling of local gyrification in obsessive-compulsive disorder.
Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Differences in cortical gyrification and fractional amplitude of low-frequency fluctuations between early- and late-onset obsessive-compulsive disorder.Journal of psychiatry & neuroscience : JPN · 2026Article
- Autism spectrum disorder, social anxiety and obsessive-compulsive disorders: beyond the comorbidity.BMC psychiatry · 2025Article
- Comprehensive Cortical Structural Features Predict the Efficacy of Cognitive Behavioral Therapy in Obsessive-Compulsive Disorder.Brain sciences · 2022Article
- Towards understanding neurocognitive mechanisms of parenting: Maternal behaviors and structural brain network organization in late childhood.Human brain mapping · 2021Article
- Altered Topological Properties of Grey Matter Structural Covariance Networks in Complete Thoracic Spinal Cord Injury Patients: A Graph Theoretical Network Analysis.Neural plasticity · 2021Article
- Brain structural covariance networks in obsessive-compulsive disorder: a graph analysis from the ENIGMA Consortium.Brain : a journal of neurology · 2020Article
- Network-based decoupling of local gyrification in obsessive-compulsive disorder.Human brain mapping · 2018Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gyrification is associated with cortical maturation and closely linked to neurodevelopmental processes. Obsessive-compulsive disorder has previously been associated with neurodevelopmental risk factors. Using graph theoretical modeling we examined structural covariance patterns to assess potential disruptions in processes associated with neurodevelopment in OCD. In total 97 patients and 92 healthy controls underwent magnetic resonance imaging. Structural covariance networks based on local gyrification indices were constructed using an atlas-based parcellation scheme. Network properties were assessed using the network-based statistic as well as global and local graph theoretical measures. Correlations between gyrification and symptom severity as well as age of disease onset were examined. Network-based statistic analysis revealed one cluster with significantly decreased structural covariance in patients comprising mainly ventral brain regions (p = .041). Normalized characteristic path length was found to be impaired in patients (p = .051). On a nodal level, left middle frontal sulcus displayed a significantly decreased local clustering coefficient (p < .001). Finally, gyrification in several inferior frontal nodes significantly correlated with age of onset but not symptom severity. The decrease in a gyrification-based covariance network in OCD appears to be mostly confined to ventral areas in which gyrification starts the latest during development. This pattern may indicate that alterations taking place during development are potentially time locked to specific periods. Correlations between gyrification in inferio-frontal nodes and age of onset potentially indicate a structural trait rather than state marker for OCD. Finally, a trend in impaired global integration capabilities may point towards potentially widespread global alterations during neurodevelopment in patients.
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