Abstract| Volume 87, ISSUE 9, SUPPLEMENT , S48, May 01, 2020

Inflammatory Phenotype of Depressive and Anxious Symptoms: A Network Perspective

      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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