ArticleSchizophrenia bulletin2019
Network Analysis Reveals the Latent Structure of Negative Symptoms in Schizophrenia.
Article in Schizophrenia bulletin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 3 of them syntheses that pooled it.
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Who cites it
67 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability.Neuroinformatics · 2022Pooled it
- EPA guidance on assessment of negative symptoms in schizophrenia.European psychiatry : the journal of the Association of European Psychiatrists · 2021Pooled it
- A Meta-Analysis of Neuropsychological Effort Test Performance in Psychotic Disorders.Neuropsychology review · 2020Pooled it
- Smartphone video games improve cognitive function in patients with chronic schizophrenia: a randomized controlled trial.European archives of psychiatry and clinical neuroscience · 2024Trial
- Longitudinal Network Analysis Reveals Interactive Change of Schizophrenia Symptoms During Acute Antipsychotic Treatment.Schizophrenia bulletin · 2023Trial
- Computerized assessments of emotional expression and emotional reactivity predict negative symptoms in individuals at clinical high-risk for psychosis.Psychological medicine · 2026Article
- Network analysis of patient-reported complaints in climacteric syndrome: a single-center study.Archives of gynecology and obstetrics · 2026Article
- The role of trauma, attachment, dissociation, and alexithymia in pathways to negative symptoms in psychosis.The British journal of clinical psychology · 2025Article
- Environmental deprivation is associated with reward processing impairments and negative symptoms in schizophrenia.Schizophrenia research · 2025Article
- Anhedonia is associated with impaired memory for positive emotional stimuli in individuals with schizophrenia.Neuropsychology · 2025Article
- Altered Brain Network Dynamics in Schizophrenia Patients With Predominant Negative Symptoms: A Resting-State fMRI Study Using Co-Activation Pattern Analysis.Human brain mapping · 2025Article
- Neuroanatomical Correlates of Negative Symptoms in Schizophrenia.bioRxiv : the preprint server for biology · 2025Article
- The Negative Symptom Inventory-Psychosis Risk (NSI-PR): Psychometric Validation of the Final 11-Item Version.Schizophrenia bulletin · 2025Article
- A transdiagnostic approach of negative symptoms in psychiatric disorders: replication of a two-factor structure in major depressive disorder and bipolar disorder.European archives of psychiatry and clinical neuroscience · 2025Article
- Social network reductions are associated with negative symptoms in schizophrenia.Social psychiatry and psychiatric epidemiology · 2025Article
- Comparison of Negative Symptom Network Structures Between Patients With Early and Chronic Schizophrenia: A Network and Exploratory Graph Analysis.Schizophrenia bulletin · 2025Article
- Using pupillometry to predict outcome in cognitive behavioral therapy for negative symptoms of schizophrenia.Schizophrenia research · 2025Article
- Decoding Early Psychoses: Unraveling Stable Microstructural Features Associated With Psychopathology Across Independent Cohorts.Biological psychiatry · 2025Article
- Network analysis of clinical features in patients with treatment-resistant schizophrenia.Frontiers in psychiatry · 2025Article
- Relationship between negative symptoms, cognitive function and social function in schizophrenia: new insight from a network analysis.Frontiers in psychiatry · 2025Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Prior studies using exploratory factor analysis provide evidence that negative symptoms are best conceptualized as 2 dimensions reflecting diminished motivation and expression. However, the 2-dimensional model has yet to be evaluated using more complex mathematical techniques capable of testing structure. In the current study, network analysis was applied to evaluate the latent structure of negative symptoms using a community-detection algorithm. Two studies were conducted that included outpatients with schizophrenia (SZ; Study 1: n = 201; Study 2: n = 912) who were rated on the Brief Negative Symptom Scale (BNSS). In both studies, network analysis indicated that the 13 BNSS items divided into 6 negative symptom domains consisting of anhedonia, avolition, asociality, blunted affect, alogia, and lack of normal distress. Separation of these domains was statistically significant with reference to a null model of randomized networks. There has been a recent trend toward conceptualizing the latent structure of negative symptoms in relation to 2 distinct dimensions reflecting diminished expression and motivation. However, the current results obtained using network analysis suggest that the 2-dimensional conceptualization is not complex enough to capture the nature of the negative symptom construct. Similar to recent confirmatory factor analysis studies, network analysis revealed that the latent structure of negative symptom is best conceptualized in relation to the 5 domains identified in the 2005 National Institute of Mental Health consensus development conference (anhedonia, avolition, asociality, blunted affect, and alogia) and potentially a sixth domain consisting of lack of normal distress. Findings have implications for identifying pathophysiological mechanisms and targeted treatments.
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