A network theory of mental disorders.
Reads0
Chats0
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
Citations
More filters
Journal ArticleDOI
A Tutorial on Regularized Partial Correlation Networks
Sacha Epskamp,Eiko I. Fried +1 more
TL;DR: In this article, the authors describe how regularization techniques can be used to efficiently estimate a parsimonious and interpretable network structure in psychological data, and demonstrate the method in an empirical example on post-traumatic stress disorder data.
Journal ArticleDOI
Moving Forward: Challenges and Directions for Psychopathological Network Theory and Methodology:
TL;DR: Challenges to network theory may propel the network approach from its adolescence into adulthood and promises advances in understanding psychopathology both at the nomothetic and idiographic level.
Journal ArticleDOI
A tutorial on regularized partial correlation networks.
Sacha Epskamp,Eiko I. Fried +1 more
TL;DR: This tutorial introduces the reader to estimating the most popular network model for psychological data: the partial correlation network and describes how regularization techniques can be used to efficiently estimate a parsimonious and interpretable network structure in psychological data.
Journal ArticleDOI
What Do Centrality Measures Measure in Psychological Networks
Laura F. Bringmann,Timon Elmer,Sacha Epskamp,Robert Krause,David Schoch,Marieke Wichers,Johanna T. W. Wigman,Evelien Snippe +7 more
TL;DR: Critically examine several issues with the use of the most popular centrality indices in psychological networks: degree, betweenness, and closeness centrality, and conclude that betweenness and closness centrality seem especially unsuitable as measures of node importance.
Journal ArticleDOI
Bridge Centrality: A Network Approach to Understanding Comorbidity.
TL;DR: Four network statistics to identify bridge symptoms are developed: bridge strength, bridge betweenness, bridge closeness, and bridge expected influence, which are nonspecific to the type of network estimated, making them potentially useful in individual-level psychometric networks, group-level psychology networks, and networks outside the field of psychopathology such as social networks.
References
More filters
Journal ArticleDOI
Psychogeriatrics and the neo-epidemiologists.
TL;DR: It is significant that the WHO report barely mentioned the epidemiological contribution to its subject-matter, and this verdict is difficult to reconcile with the widespread concern aroused by the lengthening human life-span.
Journal ArticleDOI
Scars in depression: is a conceptual shift necessary to solve the puzzle?
TL;DR: A new approach to the concept of ‘scars’ is proposed based on a dimensional view of depression, which uses methods that take into account the dynamic interplay between the person and his context, and introduces a dynamic view of the concept in that it hypothesizes that scars can wax and wane.
Journal ArticleDOI
A network view on psychiatric disorders: network clusters of symptoms as elementary syndromes of psychopathology.
Rutger Goekoop,Jaap G. Goekoop +1 more
TL;DR: The first comprehensive network graph of psychopathology that is free from the biases of previous classifications is presented: a ‘Psychopathology Web’, which represents elementary syndromes that are connected via a limited number of bridge symptoms.
Posted Content
mgm: Structure Estimation for Time-Varying Mixed Graphical Models in high-dimensional Data
TL;DR: The R-package mgm is presented for the estimation of both stationary and time-varying mixed graphical models and mixed vector autoregressive models in high-dimensional data and provides performance benchmarks and applications to two medical datasets.
Journal ArticleDOI
An n=1 Clinical Network Analysis of Symptoms and Treatment in Psychosis.
TL;DR: While ‘hearing voices’ was the most prominent symptom subjectively, the data suggested that a strategic focus on ‘paranoia’, as the most central symptom, had the potential to bring about changes affecting the whole network.