Your browser doesn't support javascript.
loading
Perseverative Cognition in the Positive Valence Systems: An Experimental and Ecological Investigation.
Schettino, Martino; Ghezzi, Valerio; Ang, Yuen-Siang; Duda, Jessica M; Fagioli, Sabrina; Mennin, Douglas S; Pizzagalli, Diego A; Ottaviani, Cristina.
Afiliación
  • Schettino M; Department of Psychology, Sapienza University of Rome, 00185 Rome, Italy.
  • Ghezzi V; Department of Psychology, Sapienza University of Rome, 00185 Rome, Italy.
  • Ang YS; Department of Social and Cognitive Computing, Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore 138632, Singapore.
  • Duda JM; Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA 02478, USA.
  • Fagioli S; Department of Education, University of Roma Tre, 00185 Rome, Italy.
  • Mennin DS; Teachers College, Columbia University, New York, NY 10027, USA.
  • Pizzagalli DA; Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA 02478, USA.
  • Ottaviani C; Department of Psychiatry, Harvard Medical School, Belmont, MA 02115, USA.
Brain Sci ; 11(5)2021 Apr 30.
Article en En | MEDLINE | ID: mdl-33946423
ABSTRACT
Perseverative cognition (PC) is a transdiagnostic risk factor that characterizes both hypo-motivational (e.g., depression) and hyper-motivational (e.g., addiction) disorders; however, it has been almost exclusively studied within the context of the negative valence systems. The present study aimed to fill this gap by combining laboratory-based, computational and ecological assessments. Healthy individuals performed the Probabilistic Reward Task (PRT) before and after the induction of PC or a waiting period. Computational modeling was applied to dissociate the effects of PC on reward sensitivity and learning rate. Afterwards, participants underwent a one-week ecological momentary assessment of daily PC occurrence, as well as anticipatory and consummatory reward-related behavior. Induction of PC led to increased response bias on the PRT compared to waiting, likely due to an increase in learning rate but not in reward sensitivity, as suggested by computational modeling. In daily-life, PC increased the discrepancy between expected and obtained rewards (i.e., prediction error). Current converging experimental and ecological evidence suggests that PC is associated with abnormalities in the functionality of positive valence systems. Given the role of PC in the prediction, maintenance, and recurrence of psychopathology, it would be clinically valuable to extend research on this topic beyond the negative valence systems.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brain Sci Año: 2021 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brain Sci Año: 2021 Tipo del documento: Article País de afiliación: Italia
...