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.
To read this article in full you will need to make a payment
Purchase one-time access:Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
One-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:Subscribe to Biological Psychiatry
Already a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
© 2020 Published by Elsevier Inc.