ArticleSchizophrenia bulletin2021
Network Analysis of Symptom Comorbidity in Schizophrenia: Relationship to Illness Course and Brain White Matter Microstructure.
Article in Schizophrenia bulletin, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Symptom clusters and core symptoms in early postoperative esophageal cancer patients.Frontiers in gastroenterology (Lausanne, Switzerland) · 2026Article
- Observational
- Graph Neural Networks and Multimodal DTI Features for Schizophrenia Classification: Insights from Brain Network Analysis and Gene Expression.Neuroscience bulletin · 2025Article
- Exploring symptom clusters in Chinese patients with peritoneal dialysis: a network analysis.Renal failure · 2024Article
- Symptom network connectivity and interaction among people with HIV in China: secondary analysis based on a cross-sectional survey.BMC public health · 2024Article
- Executive functioning, behavior, and white matter microstructure in the chronic phase after pediatric mild traumatic brain injury: results from the adolescent brain cognitive development study.Psychological medicine · 2024Article
- Network analysis of neuropsychiatric, cognitive, and functional complications of stroke: implications for novel treatment targets.Psychiatry and clinical neurosciences · 2024Article
- Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study.Scientific data · 2024Article
- Exploring Symptom Clusters in Chinese Patients with Diabetic Kidney Disease: A Network Analysis.International journal of general medicine · 2024Article
- Characterization of the extracellular free water signal in schizophrenia using multi-site diffusion MRI harmonization.Molecular psychiatry · 2023Article
- Exploration of symptom clusters during hemodialysis and symptom network analysis of older maintenance hemodialysis patients: a cross-sectional study.BMC nephrology · 2023Article
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9 authors.
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Abstract
introductionRecent network-based analyses suggest that schizophrenia symptoms are intricately connected and interdependent, such that central symptoms can activate adjacent symptoms and increase global symptom burden. Here, we sought to identify key clinical and neurobiological factors that relate to symptom organization in established schizophrenia.
methodsA symptom comorbidity network was mapped for a broad constellation of symptoms measured in 642 individuals with a schizophrenia-spectrum disorder. Centrality analyses were used to identify hub symptoms. The extent to which each patient's symptoms formed clusters in the comorbidity network was quantified with cluster analysis and used to predict (1) clinical features, including illness duration and psychosis (positive symptom) severity and (2) brain white matter microstructure, indexed by the fractional anisotropy (FA), in a subset (n = 296) of individuals with diffusion-weighted imaging (DWI) data.
resultsGlobal functioning, substance use, and blunted affect were the most central symptoms within the symptom comorbidity network. Symptom profiles for some patients formed highly interconnected clusters, whereas other patients displayed unrelated and disconnected symptoms. Stronger clustering among an individual's symptoms was significantly associated with shorter illness duration (t = 2.7; P = .0074), greater psychosis severity (ie, positive symptoms expression) (t = -5.5; P < 0.0001) and lower fractional anisotropy in fibers traversing the cortico-cerebellar-thalamic-cortical circuit (r = .59, P < 0.05).
conclusionSymptom network structure varies over the course of schizophrenia: symptom interactions weaken with increasing illness duration and strengthen during periods of high positive symptom expression. Reduced white matter coherence relates to stronger symptom clustering, and thus, may underlie symptom cascades and global symptomatic burden in individuals with schizophrenia.
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