Intraindividual Dynamic Network Analysis – Implications for Clinical Assessment

Sarah David, Emma Evanovich, Andrew Marshall, Gregory Mumma

Research output: Contribution to journalArticlepeer-review

Abstract

A network analysis approach to psychopathology regards symptoms as mutually interacting components of a multifaceted system (Borsboom & Cramer, 2013). Although several studies using this approach have examined comorbidity between disorders using cross-sectional samples, a direct application of the network analysis approach to intraindividual dynamic relations between symptoms in a complex, comorbid case has not been reported. The current article describes an intraindividual dynamic network analysis (IDNA) approach to understanding the psychopathology of an individual using dynamic (over time) lead-lag interrelations between symptoms. Multivariate time series data were utilized to create and examine an intraindividual, lag-1 network of the partial, day-to-day relations of symptoms in an individual with comorbid mood and anxiety disorders. Characteristics of the network, including centrality indices, stability, dynamic processes between symptoms, and their implications for clinical as
Original languageEnglish
Pages (from-to)235-248.
JournalJournal of Psychopathology and Behavioral Assessment
DOIs
StatePublished - 2018

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