Journal ArticleDOI
Comorbidity: a network perspective.
TLDR
A method to visualize comorbidity networks is proposed and it is argued that this approach generates realistic hypotheses about pathways to comor bidity, overlapping symptoms, and diagnostic boundaries, that are not naturally accommodated by latent variable models.Abstract:
The pivotal problem of comorbidity research lies in the psychometric foundation it rests on, that is, latent variable theory, in which a mental disorder is viewed as a latent variable that causes a constellation of symptoms. From this perspective, comorbidity is a (bi)directional relationship between multiple latent variables. We argue that such a latent variable perspective encounters serious problems in the study of comorbidity, and offer a radically different conceptualization in terms of a network approach, where comorbidity is hypothesized to arise from direct relations between symptoms of multiple disorders. We propose a method to visualize comorbidity networks and, based on an empirical network for major depression and generalized anxiety, we argue that this approach generates realistic hypotheses about pathways to comorbidity, overlapping symptoms, and diagnostic boundaries, that are not naturally accommodated by latent variable models: Some pathways to comorbidity through the symptom space are more likely than others; those pathways generally have the same direction (i.e., from symptoms of one disorder to symptoms of the other); overlapping symptoms play an important role in comorbidity; and boundaries between diagnostic categories are necessarily fuzzy.read more
Citations
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Journal ArticleDOI
Qgraph: Network visualizations of relationships in psychometric data
Sacha Epskamp,Angélique O. J. Cramer,Lourens J. Waldorp,Verena D. Schmittmann,Denny Borsboom +4 more
TL;DR: The qgraph package for R is presented, which provides an interface to visualize data through network modeling techniques, and is introduced by applying the package functions to data from the NEO-PI-R, a widely used personality questionnaire.
Journal ArticleDOI
Network Analysis: An Integrative Approach to the Structure of Psychopathology
TL;DR: An examines methodologies suited to identify such symptom networks and discusses network analysis techniques that may be used to extract clinically and scientifically useful information from such networks (e.g., which symptom is most central in a person's network).
Journal ArticleDOI
The brain basis of emotion: A meta-analytic review
TL;DR: A meta-analytic summary of the neuroimaging literature on human emotion finds little evidence that discrete emotion categories can be consistently and specifically localized to distinct brain regions, and finds evidence that is consistent with a psychological constructionist approach to the mind.
Journal ArticleDOI
Estimating Psychological Networks and their Accuracy : A tutorial paper
TL;DR: In this article, the authors introduce the current state-of-the-art of network estimation and propose two novel statistical methods: the correlation stability coefficient and the bootstrapped difference test for edge-weights and centrality indices.
Journal ArticleDOI
A network theory of mental disorders.
TL;DR: The network theory has direct implications for how to understand diagnosis and treatment, and suggests a clear agenda for future research in psychiatry and associated disciplines.
References
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TL;DR: SelfSelf-Efficacy (SE) as discussed by the authors is a well-known concept in human behavior, which is defined as "belief in one's capabilities to organize and execute the courses of action required to produce given attainments".
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Emergence of Scaling in Random Networks
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Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks
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TL;DR: Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
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