Comparison of Negative Symptom Network Structures Between Patients With Early and Chronic Schizophrenia: A Network and Exploratory Graph Analysis
- PMID: 39093707
- PMCID: PMC12061643
- DOI: 10.1093/schbul/sbae135
Comparison of Negative Symptom Network Structures Between Patients With Early and Chronic Schizophrenia: A Network and Exploratory Graph Analysis
Abstract
Background and hypothesis: Despite the clinical relevance of negative symptoms in schizophrenia, our understanding of negative symptoms remains limited. Although various courses and stages of schizophrenia have been identified, variations in the negative symptom networks between distinct stages of schizophrenia remain unexplored.
Study design: We examined 405 patients with early schizophrenia (ES) and 330 patients with chronic schizophrenia (CS) using the Scale for the Assessment of Negative Symptoms. Network analysis and exploratory graph analysis were used to identify and compare the network structures and community memberships of negative symptoms between the two groups. Further, associations between communities and social functioning were evaluated. The potential influences of other symptom domains and confounding factors were also examined.
Study results: Multidimensional differences were found in the networks of negative symptoms between ES and CS. The global connectivity strength was higher in the network of ES than in the network of CS. In ES, central symptoms were mainly related to expressive deficits, whereas in CS they were distributed across negative symptom domains. A three-community structure was suggested across stages but with different memberships and associations with social functioning. Potential confounding factors and symptom domains, including mood, positive, disorganization, and excitement symptoms, did not affect the network structures.
Conclusion: Our findings revealed the presence of stage-specific network structures of negative symptoms in schizophrenia, with negative symptom communities having differential significance for social functioning. These findings provide implications for the future development of tailored interventions to alleviate negative symptoms and improve functionality across stages.
Keywords: chronic schizophrenia; community detection; early schizophrenia; negative symptoms; network analysis; social functioning.
© The Author(s) 2024. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.
Conflict of interest statement
The authors have declared that there are no conflicts of interest in relation to the subject of this study.
Figures



Similar articles
-
Systemic pharmacological treatments for chronic plaque psoriasis: a network meta-analysis.Cochrane Database Syst Rev. 2021 Apr 19;4(4):CD011535. doi: 10.1002/14651858.CD011535.pub4. Cochrane Database Syst Rev. 2021. Update in: Cochrane Database Syst Rev. 2022 May 23;5:CD011535. doi: 10.1002/14651858.CD011535.pub5. PMID: 33871055 Free PMC article. Updated.
-
Systemic pharmacological treatments for chronic plaque psoriasis: a network meta-analysis.Cochrane Database Syst Rev. 2020 Jan 9;1(1):CD011535. doi: 10.1002/14651858.CD011535.pub3. Cochrane Database Syst Rev. 2020. Update in: Cochrane Database Syst Rev. 2021 Apr 19;4:CD011535. doi: 10.1002/14651858.CD011535.pub4. PMID: 31917873 Free PMC article. Updated.
-
Systemic pharmacological treatments for chronic plaque psoriasis: a network meta-analysis.Cochrane Database Syst Rev. 2017 Dec 22;12(12):CD011535. doi: 10.1002/14651858.CD011535.pub2. Cochrane Database Syst Rev. 2017. Update in: Cochrane Database Syst Rev. 2020 Jan 9;1:CD011535. doi: 10.1002/14651858.CD011535.pub3. PMID: 29271481 Free PMC article. Updated.
-
A New Measure of Quantified Social Health Is Associated With Levels of Discomfort, Capability, and Mental and General Health Among Patients Seeking Musculoskeletal Specialty Care.Clin Orthop Relat Res. 2025 Apr 1;483(4):647-663. doi: 10.1097/CORR.0000000000003394. Epub 2025 Feb 5. Clin Orthop Relat Res. 2025. PMID: 39915110
-
Selective noradrenaline reuptake inhibitors for schizophrenia.Cochrane Database Syst Rev. 2018 Jan 25;1(1):CD010219. doi: 10.1002/14651858.CD010219.pub2. Cochrane Database Syst Rev. 2018. PMID: 29368813 Free PMC article.
Cited by
-
Systematic Review of Self-Assessment Scales for Negative Symptoms in Schizophrenia.Brain Sci. 2025 Jan 31;15(2):148. doi: 10.3390/brainsci15020148. Brain Sci. 2025. PMID: 40002481 Free PMC article. Review.
References
-
- Sauvé G, Brodeur MB, Shah JL, Lepage M.. The prevalence of negative symptoms across the stages of the psychosis continuum. Harv Rev Psychiatry. 2019;27(1):15–32. doi: https://doi.org/ 10.1097/hrp.0000000000000184 - DOI - PubMed
-
- Valle R. Schizophrenia in ICD-11: comparison of ICD-10 and DSM-5. Rev Psiquiatr Salud Mental 2020;13(2):95–104. doi: https://doi.org/ 10.1016/j.rpsmen.2020.01.002 - DOI - PubMed
-
- Chan SKW, Liao Y, Hui CLM, et al. Longitudinal changes of cognitive function and its relationship with subdomains of negative symptoms in patients with adult-onset first-episode schizophrenia: a 4-year follow up study. Schizophr Res. 2023;252:181–188. doi: https://doi.org/ 10.1016/j.schres.2023.01.004 - DOI - PubMed
-
- Santesteban-Echarri O, Paino M, Rice S, et al. Predictors of functional recovery in first-episode psychosis: a systematic review and meta-analysis of longitudinal studies. Clin Psychol Rev. 2017;58:59–75. doi: https://doi.org/ 10.1016/j.cpr.2017.09.007 - DOI - PubMed
-
- Suen YN, Pang SWT, Cheung C, et al. Impact of early negative symptom patterns on the long-term outcomes of patients with first-episode schizophrenia-spectrum disorders: a 12-year follow up study. Psychiatry Res. 2023;323:115180. doi: https://doi.org/ 10.1016/j.psychres.2023.115180 - DOI - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical