ArticleJournal of child psychology and psychiatry, and allied disciplines2021
Commentary: Extending longitudinal network approaches - a reflection on Funkhouser et al. (2020).
Article in Journal of child psychology and psychiatry, and allied disciplines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dynamic changes in network structure of depressive symptoms: a two-year naturalistic follow-up study.BMC psychiatry · 2025Article
- Dynamic symptom networks in etomidate use disorder: a cross-lagged panel network analysis of craving, compulsive drug seeking, and cognitive control.Frontiers in public health · 2025Article
- Developmental Trajectories of Internalizing and Externalizing Symptoms in Youth and Associated Gender Differences: A Directed Network Perspective.Research on child and adolescent psychopathology · 2023Article
- Data-Driven Methods for Predicting ADHD Diagnosis and Related Impairment: The Potential of a Machine Learning Approach.Research on child and adolescent psychopathology · 2023Article
- Cross-sectional and longitudinal AUD symptom networks: They tell different stories.Addictive behaviors · 2022Article
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Abstract
The network approach facilitates an exploration of direct and potentially causal relations among symptoms of psychological disorders, yet most prior research utilizing this approach has done so using cross-sectional data. This commentary highlights the importance of longitudinal network approaches, as depicted in the study conducted by Funkhouser et al. (Journal of Child Psychology and Psychiatry, 2020), and describes two possible key extensions of this approach: (a) accounting for risk markers, etiological mechanisms, and other nonsymptoms within longitudinal network models, and (b) continued exploration of longitudinal within-person networks with attention to personalized treatment applications. Inclusion of these extensions in future longitudinal network studies could provide new insights into the nature of psychopathology and inform the development of more precise screening tools and targeted, personalized interventions.
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