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Open AccessJournal ArticleDOI

A network theory of mental disorders.

Denny Borsboom
- 01 Feb 2017 - 
- Vol. 16, Iss: 1, pp 5-13
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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.
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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.

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A Network of Psychopathological, Cognitive, and Motor Symptoms in Schizophrenia Spectrum Disorders

TL;DR: In this article, a network model of psychopathological, cognitive, and motor symptoms in Schizophrenia spectrum disorders is presented. But the authors focus on detecting communities and exploring the connectivity and relative importance of variables within the network.
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Network connectivity between fear of cancer recurrence, anxiety, and depression in breast cancer patients.

TL;DR: In this paper , the authors investigated network connectivity between FCR, anxiety, and depressive symptoms in a large representative sample of breast cancer patients, and found that anxiety and depression symptom communities were well-connected with each other, while FCR emerged as a distinct cluster with only a few weak links to anxiety.
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Metacognitive Therapy Versus Cognitive Behavioral Therapy:A Network Approach.

TL;DR: The results indicate that there were different networks of symptoms and mechanisms in MCT and CBT, however, the node of negative metacognitive beliefs about uncontrollability was more central in the MCT treatment than in the CBT treatment, consistent with predictions from the S-REF model.
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Harnessing networks and machine learning in neuropsychiatric care.

TL;DR: A general framework for the treatment of neuropsychiatric illness relying on the findings from broad and deep studies combined with basic cognitive and physiologic measurements is proposed.
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

Qgraph: Network visualizations of relationships in psychometric data

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).
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The p Factor: One General Psychopathology Factor in the Structure of Psychiatric Disorders?

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.
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