ArticleSchizophrenia bulletin2017
Structural Network Disorganization in Subjects at Clinical High Risk for Psychosis.
Article in Schizophrenia bulletin, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Connectome dysfunction in patients at clinical high risk for psychosis and modulation by oxytocin.Molecular psychiatry · 2024Trial
- Altered network hub connectivity after acute LSD administration.NeuroImage. Clinical · 2018Trial
- Decoding Psychosis Risk: Neuroanatomical Correlates of the NAPLS-2 Calculator in the PRONIA Cohort.Schizophrenia bulletin · 2026Article
- Altered Brain-Behavior Association During Resting State is a Potential Psychosis Risk Marker.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Parsing heterogeneity in global and local white matter integrity at different stages across the psychosis continuum.Schizophrenia (Heidelberg, Germany) · 2024Article
- Bridging big data in the ENIGMA consortium to combine non-equivalent cognitive measures.Scientific reports · 2024Article
- Verbal Learning and Memory Deficits across Neurological and Neuropsychiatric Disorders: Insights from an ENIGMA Mega Analysis.Brain sciences · 2024Article
- Disrupted pattern of rich-club organization in structural brain network from prediabetes to diabetes: A population-based study.Human brain mapping · 2024Article
- Rich-club connectivity and structural connectome organization in youth at clinical high-risk for psychosis and individuals with early illness schizophrenia.Schizophrenia research · 2023Article
- Negative symptoms are associated with modularity and thalamic connectivity in schizophrenia.European archives of psychiatry and clinical neuroscience · 2023Article
- Impaired rich-club connectivity in childhood absence epilepsy.Frontiers in neurology · 2023Article
- Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review.NeuroImage · 2022Review
- Associations between long-term psychosis risk, probabilistic category learning, and attenuated psychotic symptoms with cortical surface morphometry.Brain imaging and behavior · 2022Article
- Alcohol use in emerging adults associated with lower rich-club connectivity and greater connectome network disorganization.Drug and alcohol dependence · 2022Article
- Early Detection and Prevention of Schizophrenic Psychosis-A Review.Brain sciences · 2021Review
- A structural brain network of genetic vulnerability to psychiatric illness.Molecular psychiatry · 2021Article
- White Matter-Based Structural Brain Network of Major Depression.Advances in experimental medicine and biology · 2021Review
- White matter microstructure and network-connectivity in emerging adults with subclinical psychotic experiences.Brain imaging and behavior · 2020Article
- Functional connectome organization predicts conversion to psychosis in clinical high-risk youth from the SHARP program.Molecular psychiatry · 2020Article
- Brain gray matter network organization in psychotic disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Previous network studies in chronic schizophrenia patients revealed impaired structural organization of the brain's rich-club members, a set of highly interconnected hub regions that play an important integrative role for global brain communication. Moreover, impaired rich-club connectivity has also been found in unaffected siblings of schizophrenia patients, suggesting that abnormal rich-club connectivity is related to familiar, possibly reflecting genetic, vulnerability for schizophrenia. However, no study has yet investigated whether structural rich-club organization is also impaired in individuals with a clinical risk syndrome for psychosis. Diffusion tensor imaging and probabilistic tractography was used to construct structural whole-brain networks in 24 healthy controls and 24 subjects with an at-risk mental state (ARMS). Graph theory was applied to quantify the structural rich-club organization and global network properties. ARMS subjects revealed a significantly altered structural rich-club organization compared with the control group. The disruption of rich-club organization was associated with the severity of negative psychotic symptoms and led to an elevated level of modularity in ARMS subjects. This study shows that abnormal structural rich-club organization is already evident in clinical high-risk subjects for psychosis and further demonstrates the impact of rich-club disorganization on global network communication. Together with previous evidence in chronic schizophrenia patients and unaffected siblings, our findings suggest that abnormal structural rich-club organization may reflect an endophenotypic marker of psychosis.
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