A network analysis approach to ADHD symptoms: more than the sum of its parts

Silk, Timothy J, Malpas, Charles B, Beare, Richard, Efron, Daryl, Anderson, Vicki, Hazell, Philip, Jongeling, Brad, Nicholson, Jan M and Sciberras, Emma 2019, A network analysis approach to ADHD symptoms: more than the sum of its parts, PLoS one, vol. 14, no. 1, pp. 1-17, doi: 10.1371/journal.pone.0211053.

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Title A network analysis approach to ADHD symptoms: more than the sum of its parts
Author(s) Silk, Timothy JORCID iD for Silk, Timothy J orcid.org/0000-0002-7290-512X
Malpas, Charles B
Beare, Richard
Efron, Daryl
Anderson, Vicki
Hazell, Philip
Jongeling, Brad
Nicholson, Jan M
Sciberras, EmmaORCID iD for Sciberras, Emma orcid.org/0000-0003-2812-303X
Journal name PLoS one
Volume number 14
Issue number 1
Article ID e0211053
Start page 1
End page 17
Total pages 17
Publisher Public Library of Science
Place of publication San Francisco, Calif.
Publication date 2019-01-18
ISSN 1932-6203
Keyword(s) symptoms
attention-deficit/hyperactivity disorder (ADHD)
Diagnostic Statistical Manual (DSM-5) criteria
Science & Technology
Multidisciplinary Sciences
Summary In interpreting attention-deficit/hyperactivity disorder (ADHD) symptoms, categorical and dimensional approaches are commonly used. Both employ binary symptom counts which give equal weighting, with little attention to the combinations and relative contributions of individual symptoms. Alternatively, symptoms can be viewed as an interacting network, revealing the complex relationship between symptoms. Using a novel network modelling approach, this study explores the relationships between the 18 symptoms in the Diagnostic Statistical Manual (DSM-5) criteria and whether network measures are useful in predicting outcomes. Participants were from a community cohort, the Children's Attention Project. DSM ADHD symptoms were recorded in a face-to-face structured parent interview for 146 medication naïve children with ADHD and 209 controls (aged 6-8 years). Analyses indicated that not all symptoms are equal. Frequencies of endorsement and configurations of symptoms varied, with certain symptoms playing a more important role within the ADHD symptom network. In total, 116,220 combinations of symptoms within a diagnosis of ADHD were identified, with 92% demonstrating a unique symptom configuration. Symptom association networks highlighted the relative importance of hyperactive/impulsive symptoms in the symptom network. In particular, the 'motoric'-type symptoms as well as interrupts as a marker of impulsivity in the hyperactive domain, as well as loses things and does not follow instructions in the inattentive domain, had high measures of centrality. Centrality-measure weighted symptom counts showed significant association with clinical but not cognitive outcomes, however the relationships were not significantly stronger than symptom count alone. The finding may help to explain heterogeneity in the ADHD phenotype.
Language eng
DOI 10.1371/journal.pone.0211053
Field of Research MD Multidisciplinary
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Silk et al.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30117238

Document type: Journal Article
Collections: Faculty of Health
School of Psychology
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