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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A review of neuroimaging studies in generalized anxiety disorder: "So where do we stand?"
TL;DR: To bridge the gap between fundamental research and clinical practice in GAD, it is proposed that fMRI researchers make an effort to validate the existing cognitive model of GAD.
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A network analysis of posttraumatic stress disorder and dissociation in trauma-exposed adolescents
TL;DR: These symptom-level associations extend the understanding of the PTSD-dissociation relationship by pointing to specific symptoms of PTSD and dissociation that may drive the co-morbidity between the two constructs.
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The network structure of core depressive symptom-domains in major depressive disorder following antidepressant treatment: a randomized clinical trial.
TL;DR: The utility of focusing on the dynamic interaction between depressive symptoms to better understand how the treatment with ADs unfolds over time is highlighted, and depressed mood, fatigue, and cognitive/psychomotor disturbance seem to be central MDD symptoms that may be viable targets for novel, focused therapeutic interventions.
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Validation of the Prodromal Questionnaire-Brief in a representative sample of adolescents: Internal structure, norms, reliability, and links with psychopathology.
TL;DR: The main purpose of the present study was to validate the Prodromal Questionnaire–Brief (PQ‐B) in a community‐derived sample of adolescents and to examine the links between psychotic‐like experiences and emotional and behavioral problems, prosocial behavior, suicidal ideation, and bipolar-like experiences.
Posted ContentDOI
Voice patterns in schizophrenia: A systematic review and Bayesian meta-analysis
TL;DR: Studies of acoustic patterns are a promising but, yet unsystematic avenue for establishing markers of schizophrenia, and recommendations towards more cumulative, open, and theory-driven research are outlined.
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.