There has been increasing interest in distinguishing inflammatory phenotypes of psychiatric
disorders. Most investigations into inflammatory phenotypes have relied on common-cause
models, in which inflammation predicts symptoms. However, network analysis can broaden
the definition of "phenotype" beyond just the presence or absence of symptoms to include
the relationships between symptoms. Work investigating the utility of network analyses
has found this approach might provide information beneficial to the classification
and treatment of psychopathology. Specifically, reductions in symptoms with high node
strength, the quantification of how strongly a symptom is concurrently connected to
all others in a network, predict global improvement across all symptoms in a network.
Consequently, there is merit in exploring whether adolescents with elevated inflammation
have different patterns of node strength relative to adolescents with normative levels
of inflammation.
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© 2020 Published by Elsevier Inc.
