The network approach to psychopathology posits that mental disorders can be
conceptualized and studied as causal systems of mutually reinforcing symptoms. This …

Empirical publications inspired by the network approach to psychopathology have increased
exponentially in the twenty-first century. The central idea that an episode of mental disorder …

Statistical network models describing multivariate dependency structures in psychological
data have gained increasing popularity. Such comparably novel statistical techniques …

Centrality indices are a popular tool to analyze structural aspects of psychological networks.
As centrality indices were originally developed in the context of social networks, it is unclear …

In both child and adult psychiatry, empirical evidence has now accrued to suggest that a
single dimension is able to measure a person's liability to mental disorder, comorbidity …

The Gaussian graphical model (GGM) has recently grown popular in psychological
research, with a large body of estimation methods being proposed and discussed across …

Mental disorder classification provides a definitional framework that underlies applied
clinical and research efforts to understand, assess, predict, prevent and ameliorate the …

Objective: The present paper presents a brief overview on network analysis as a statistical
approach for health psychology researchers. Networks comprise graphical representations …

Recent years have seen an emergence of network modeling applied to moods, attitudes,
and problems in the realm of psychology. In this framework, psychological variables are …

In the past decades, reductionism has dominated both research directions and funding
policies in clinical psychology and psychiatry. The intense search for the biological basis of …