| Literature DB >> 33228401 |
Abstract
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 arises from causal interactions among its symptomatic elements has especially resonated with those clinical scientists whose disenchantment with traditional categorical and dimensional approaches to mental illness has become all too apparent. As the field has matured, conceptual and statistical concerns about the limitations of network approaches to psychopathology have emerged, inspiring the development of novel methods to address these concerns. Rather than reviewing the vast empirical literature, I focus instead on the issues and controversies regarding this approach and sketch directions where the field might go next.Entities:
Keywords: Bayesian networks; diagnosis; multivariate time series; network analysis; psychopathology
Year: 2020 PMID: 33228401 DOI: 10.1146/annurev-clinpsy-081219-092850
Source DB: PubMed Journal: Annu Rev Clin Psychol ISSN: 1548-5943 Impact factor: 18.561