- Access: Full
- Open access
- ISSN: 2513-9886 (Online)
- Editor: Prof Philip J. Corr City, University of London, UK
- Editorial board
Coming Soon - Special Issue of Personality Neuroscience
Novel Investigations of the Connection between Quantitative Personality-Psychopathology Models and Neuroscience
Guest Editors: Robert D. Latzman, Giorgia Michelini, Colin G. DeYoung, & Robert F. Krueger
Clinical neuroscience aims to elucidate neural correlates of mental illness and translate that knowledge into effective biologically informed interventions. There has been a growing consensus, however, that the lack of progress to date may be a result of the well-documented shortcomings of the categorical diagnostic system; the categorical system is scientifically untenable. Indeed, a large and reliable empirical literature has demonstrated the superiority of quantitatively-derived dimensional models of classification, including, for example, the Hierarchical Taxonomy of Psychopathology (HiTOP). Importantly, it has become clear that these models converge with quantitative models of personality, typically reflecting the same latent dimensions in both the general and maladaptive ranges. The field has thus come to realize that the convergence of models of personality and psychopathology represents a promising phenotypic target for neurobiological investigations of psychopathology and related processes. This special issue of Personality Neuroscience will focus on the connection of quantitative models that integrate personality and psychopathology with neuroscientific inquiry. The overarching goal of this special issue will be to highlight sophisticated novel research aimed at elucidating neurobiological correlates of broad, transdiagnostic processes within an integrated personality-psychopathology framework.
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- 30 May 2018,
- Personality Neuroscience is inspired by the major developments in cognitive neuroscience that have taken place over the past decades, especially those that...
- 29 September 2017,
- The lab of Dean Mobbs Ph.D. uses a mixture of brain-imaging, computational modeling and behavioral techniques to probe the neurobiological systems responsible...