SchizotypyThe Way Ahead

  1. Eduardo Fonseca-Pedrero 1
  2. Martin Debbané 2
  3. Juan Francisco Rodríguez-Testal 3
  4. Alex S. Cohen 4
  5. Anna R. Docherty 5
  6. Javier Ortuño-Sierra 1
  1. 1 University of La Rioja (Spain)
  2. 2 University of Geneva (Switzerland)
  3. 3 University of Seville (Spain)
  4. 4 Louisiana State University (USA)
  5. 5 University of Utah School of Medicine (Salt Lake City, UT)
Revista:
Psicothema

ISSN: 0214-9915 1886-144X

Any de publicació: 2021

Volum: 33

Número: 1

Pàgines: 16-27

Tipus: Article

DOI: 10.7334/PSICOTHEMA2019.285 DIALNET GOOGLE SCHOLAR lock_openAccés obert editor

Altres publicacions en: Psicothema

Repositori institucional: lock_openAccés obert Editor

Resum

Background: Empirical evidence suggests that schizotypy is a useful construct for analyzing and understanding psychotic disorders. However, several issues remain to be resolved. Method: This selective, critical review, addresses some questions and limitations, and discusses future directions of work. Results: First, we present a conceptual outline and discuss the evidence from translational and interdisciplinary studies on schizotypy. Next, we examine and discuss newer analytical and methodological approaches, including network and machine learning approaches. We also discuss newer psychometric identification approaches, such as those using biobehavioral and ambulatory assessment. Next, we review recent cross-cultural studies in schizotypy research. Finally, we identify new challenges and directions and draw conclusions. Conclusions: This selective, critical review suggests that new methods can contribute to the construction of a solid scientific model of schizotypy as a risk construct.

Informació de finançament

E.F.P. supported by the “Convocatoria 2015 de Ayudas Fundación BBVA a Investigadores y Creadores Culturales”, the “Ayudas Fundación BBVA a Equipos de Investigación Científica 2017”, and FEDER in the PO FEDER of La Rioja 2014-2020 (SRS 6FRSABC026). M.D. supported by a grant from the Swiss National Science Foundation (100019_159440). JOS supported by the «Beca Leonardo a Investigadores y Creadores Culturales 2020 de la Fundación BBVA»

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