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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Book ChapterDOI
Network Neuroscience: A Framework for Developing Biomarkers in Psychiatry.
TL;DR: This chapter provides an overview of the use and utility of network neuroscience for building biomarkers in psychiatry and describes applications of network Neuroscience to the study of schizophrenia and major depressive disorder.
Journal ArticleDOI
ICD-11 PTSD and complex PTSD: structural validation using network analysis
Eoin McElroy,Mark Shevlin,Siobhan Murphy,Bayard Roberts,Nino Makhashvili,Jana Darejan Javakhishvili,Jonathan Ian Bisson,Menachem Ben-Ezra,Philip Hyland +8 more
TL;DR: It is concluded that the discrepancy concerning the effectiveness of CBT on positive symptoms of schizophrenia (especially in blind studies) found in the two meta-analyses reflects the substantially differing data sets examined.
Journal ArticleDOI
Progress and challenges in deep brain stimulation for obsessive-compulsive disorder.
Sina Kohl,Juan Carlos Baldermann +1 more
TL;DR: This narrative review summarizes the recent literature on deep brain stimulation for treatment resistant obsessive‐compulsive disorder highlighting both progress and challenges of this novel treatment.
Journal ArticleDOI
The network structure of schizotypal personality traits in a population-based sample.
David Dodell-Feder,Abhishek Saxena,Lauren A. Rutter,Lauren A. Rutter,Laura Germine,Laura Germine +5 more
TL;DR: The utility of using network approaches to understand SSD risk states as well as the replicability of network findings on schizotypal personality traits and related SSD risk concepts are demonstrated.
Journal ArticleDOI
Risk and Protective Factors in Adolescent Suicidal Behaviour: A Network Analysis
TL;DR: In this paper , the authors analyzed the psychological network structure of suicidal behavior and putative risk and protective factors in school-aged adolescents and found that suicidal behaviour was positively connected to symptoms of depression and behavioural problems.
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.
Journal ArticleDOI
Causality: Models, Reasoning and Inference
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 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.