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. 2022 Oct 1;79(10):1014-1022.
doi: 10.1001/jamapsychiatry.2022.2386.

Understanding Connections and Boundaries Between Positive Symptoms, Negative Symptoms, and Role Functioning Among Individuals With Schizophrenia: A Network Psychometric Approach

Samuel J Abplanalp  1   2 , David L Braff  3   4 , Gregory A Light  3   4 , Keith H Nuechterlein  2 , Michael F Green  1   2 ; Consortium on the Genetics of Schizophrenia-2
Collaborators, Affiliations

Understanding Connections and Boundaries Between Positive Symptoms, Negative Symptoms, and Role Functioning Among Individuals With Schizophrenia: A Network Psychometric Approach

Samuel J Abplanalp et al. JAMA Psychiatry. .

Abstract

Importance: Improved understanding of the boundaries and connections between positive symptoms, negative symptoms, and role functioning in schizophrenia is critical, given limited empirical support for clear distinctions among these clinical areas. This study's use of network psychometrics to investigate differential associations and structural overlap between positive symptoms, negative symptoms, and functional domains in schizophrenia may contribute to such understanding.

Objective: To apply network analysis and community detection methods to examine the interplay and structure of positive symptoms, negative symptoms, and functional domains in individuals with schizophrenia.

Design, setting, and participants: Cross-sectional study in 5 geographically distributed research centers in the US as part of the Consortium on the Genetics of Schizophrenia-2 from July 1, 2010, through January 31, 2014. Data were analyzed from November 2021 to June 2022. Clinically stable outpatients with schizophrenia or schizoaffective disorder were included. Participants were excluded if they had evidence of neurologic or additional Axis I psychiatric disorders. Other exclusion criteria included head injury, stroke, and substance abuse. Of 1415 patients approached, 979 were included in the final analysis.

Main outcomes and measures: Measures included the Scale for the Assessment of Positive Symptoms, the Scale for the Assessment of Negative Symptoms, and the Role Functioning Scale. Main outcomes were expected influence, which assesses the relative importance of items to the network and is defined as the association of an item with all others, and community detection and stability, defined as the presence of statistical clusters and their replicability.

Results: Participants with complete data included 979 outpatients (mean [SD] age, 46 [11] years; 663 male [67.7%]; 390 participants [40%] self-identified as African American, 30 [3%] as Asian, 7 [0.7%] as Native American, 8 [0.8%] as Pacific Islander, 412 [42.1%] as White, 125 [12.8%] as more than 1 race, and 5 [0.5%] did not identify). Anhedonia had the highest expected influence in the most comprehensive network analysis, showing connections with negative and positive symptoms and functional domains. Positive symptoms had the lowest expected influence. Community detection analyses indicated the presence of 3 clusters corresponding to positive symptoms; negative symptoms and work functioning; functional domains, including independent living, family relationships, and social network; and avolition, anhedonia, and work functioning. Hallucinations and delusions replicated in 1000 bootstrapped samples (100%), while bizarre behavior and thought disorder replicated in 390 (39%) and 570 (57%), respectively. In contrast, negative symptoms and work functioning replicated between 730 (73%) and 770 (77%) samples, respectively, and the remaining functional domains in 940 samples (94%).

Conclusions and relevance: The high centrality of anhedonia and its connections with multiple functional domains suggest that it could be a treatment target for global functioning. Interventions for work functioning may benefit from a specialized approach that focuses primarily on avolition.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Light reported having been a consultant to Astellas, Boehringer Ingelheim, Heptares, Merck, and NeuroSig. Dr Nuechterlein reported receiving unrelated research support from Ortho-McNeil Janssen Scientific Affairs; grants from the National Institute of Mental Health, Janssen, and Alkermes; personal fees from ReCognify; and consulting for Wyeth and Pfizer. Dr Green reported working as a consultant to AbbVie, ACADIA, DSP, FORUM, Lundbeck, and Takeda; serving on the scientific board of Luc; receiving research support from Amgen and Forum; and grants from the University of California, Los Angeles. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Network Analyses and Expected Influence of Positive Symptoms (P), Negative Symptoms (N), and Role Functioning (F)
A, F1 indicates global functioning; N1; expressive negative symptoms; N2, experiential negative symptoms; P1, hallucinations; P2, delusions; P3, bizarre behavior; P4, thought disorder. B, F1 indicates global functioning; N3, flat affect; N4, avolition; N5 anhedonia; N6, alogia; P1, hallucinations; P2, delusions; P3, bizarre behavior; P4, thought disorder. C, F2 indicates work functioning; F3, independent living; F4, family relationships; F5, social network; N3, flat affect; N4, avolition; N5 anhedonia; N6, alogia; P1, hallucinations; P2, delusions; P3, bizarre behavior; P4, thought disorder.
Figure 2.
Figure 2.. Bootstrapped Exploratory Graph Analysis (EGA) for Community Detection of Role Functioning (F), Negative Symptoms (N), and Positive Symptoms (P)
F2 indicates work functioning; F3, independent living; F4, family relationships; F5, social network; N3, flat affect; N4, avolition; N5 anhedonia; N6, alogia; P1, hallucinations; P2, delusions; P3, bizarre behavior; P4, thought disorder.
See this image and copyright information in PMC

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