TY - JOUR
T1 - Intraindividual Dynamic Network Analysis – Implications for Clinical Assessment
AU - David, Sarah Jo
AU - Marshall, Andrew J.
AU - Evanovich, Emma K.
AU - Mumma, Gregory H.
N1 - Publisher Copyright:
© 2017, The Author(s).
PY - 2018/6/1
Y1 - 2018/6/1
N2 - 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 assessment are described. Additional clinical implications and future directions for IDNA, including the potential incremental validity of this assessment approach for empirically-based idiographic assessment and personalized treatment planning, are discussed. This person-specific IDNA approach may be especially useful in complex and comorbid cases.
AB - 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 assessment are described. Additional clinical implications and future directions for IDNA, including the potential incremental validity of this assessment approach for empirically-based idiographic assessment and personalized treatment planning, are discussed. This person-specific IDNA approach may be especially useful in complex and comorbid cases.
KW - Comorbidity
KW - Dynamic
KW - Intraindividual
KW - Network analysis
KW - Personalized treatment planning
UR - http://www.scopus.com/inward/record.url?scp=85035789232&partnerID=8YFLogxK
U2 - 10.1007/s10862-017-9632-8
DO - 10.1007/s10862-017-9632-8
M3 - Article
AN - SCOPUS:85035789232
SN - 0882-2689
VL - 40
SP - 235
EP - 248
JO - Journal of Psychopathology and Behavioral Assessment
JF - Journal of Psychopathology and Behavioral Assessment
IS - 2
ER -