A network theory of mental disorders.
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TLDR
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.About:
This article is published in World Psychiatry.The article was published on 2017-02-01 and is currently open access. It has received 1311 citations till now. The article focuses on the topics: Mind-blindness & Psychological intervention.read more
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The transdiagnostic structure of mental effort avoidance.
TL;DR: It is demonstrated that deviations from normative effort expenditure are associated with a number of constructs that are common to several forms of psychiatric illness, including positive urgency, distress intolerance, obsessive-compulsive symptoms, disordered eating, and a factor consisting of compulsive behavior and intrusive thoughts.
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On the Control of Psychological Networks
TL;DR: In this paper, the authors introduce two controllability statistics to the psychometric literature to facilitate selecting the best set of intervention targets, and show how intervention scientists can probe the effects of both theoretical and empirical interventions on networks derived from real data and demonstrate how simulations can account for intervention cost and the desire to reduce specific symptoms.
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Psychiatric comorbidity in compulsive sexual behavior disorder (CSBD)
Rafael Ballester-Arnal,Jesús Castro-Calvo,Cristina Giménez-García,Beatriz Gil-Juliá,María Dolores Gil-Llario +4 more
TL;DR: Prevalence of different psychiatric conditions was significantly increased among sexually compulsive participants, revealing comorbidity patterns with important implications in the conceptualization, assessment, and treatment of patients with CSBD.
Replicability and generalizability of PTSD networks: A cross-cultural multisite study of PTSD symptoms in four trauma patient samples
TL;DR: In this paper, a cross-cultural multisite study estimated regularized partial correlation networks of 16 PTSD symptoms across four data sets of traumatized patients receiving treatment for PTSD (total N = 2,782).
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Disordered eating, self-esteem, and depression symptoms in Iranian adolescents and young adults: A network analysis.
Reza N. Sahlan,Brenna M. Williams,Lauren N. Forrest,Jessica F. Saunders,Ellen E. Fitzsimmons-Craft,Cheri A. Levinson +5 more
TL;DR: Desire to lose weight was the most central node in the networks, which is consistent with sociocultural theories of disordered eating development, as well as prior network models from Western-culture samples.
References
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MonographDOI
Causality: models, reasoning, and inference
TL;DR: The art and science of cause and effect have been studied in the social sciences for a long time as mentioned in this paper, see, e.g., the theory of inferred causation, causal diagrams and the identification of causal effects.
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Causality: Models, Reasoning and Inference
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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.
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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).
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The p Factor: One General Psychopathology Factor in the Structure of Psychiatric Disorders?
Avshalom Caspi,Renate Houts,Daniel W. Belsky,Sidra Goldman-Mellor,HonaLee Harrington,Salomon Israel,Madeline H. Meier,Sandhya Ramrakha,Idan Shalev,Richie Poulton,Terrie E. Moffitt +10 more
TL;DR: The structure of psychopathology is examined, taking into account dimensionality, persistence, co-occurrence, and sequential comorbidity of mental disorders across 20 years, from adolescence to midlife, to explain why it is challenging to find causes, consequences, biomarkers, and treatments with specificity to individual mental disorders.