Motor Imagery and Sport Performance: A Systematic Review on the PETTLEP Model

Giovanni Morone; Sheida Ghanbari Ghooshchy; Claudia Pulcini; Emanuele Spangu; Pierluigi Zoccolotti; Marialuisa Martelli; Grazia Fernanda Spitoni; Valentina Russo; Irene Ciancarelli; Stefano Paolucci; Marco Iosa

doi:10.3390/app12199753

Applied Sciences (Sep 2022)

Motor Imagery and Sport Performance: A Systematic Review on the PETTLEP Model

Giovanni Morone,
Sheida Ghanbari Ghooshchy,
Claudia Pulcini,
Emanuele Spangu,
Pierluigi Zoccolotti,
Marialuisa Martelli,
Grazia Fernanda Spitoni,
Valentina Russo,
Irene Ciancarelli,
Stefano Paolucci,
Marco Iosa

Affiliations

Giovanni Morone: Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy
Sheida Ghanbari Ghooshchy: Department of Psychology, University of Rome “Sapienza”, 00185 Rome, Italy
Claudia Pulcini: Department of Psychology, University of Rome “Sapienza”, 00185 Rome, Italy
Emanuele Spangu: Department of Psychology, University of Rome “Sapienza”, 00185 Rome, Italy
Pierluigi Zoccolotti: Department of Psychology, University of Rome “Sapienza”, 00185 Rome, Italy
Marialuisa Martelli: Department of Psychology, University of Rome “Sapienza”, 00185 Rome, Italy
Grazia Fernanda Spitoni: Department of Psychology, University of Rome “Sapienza”, 00185 Rome, Italy
Valentina Russo: Department of Psychology, University of Rome “Sapienza”, 00185 Rome, Italy
Irene Ciancarelli: Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy
Stefano Paolucci: IRCCS Fondazione Santa Lucia, 00179 Rome, Italy
Marco Iosa: Department of Psychology, University of Rome “Sapienza”, 00185 Rome, Italy

DOI: https://doi.org/10.3390/app12199753
Journal volume & issue: Vol. 12, no. 19
p. 9753

Abstract

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The aim of this review is to critically analyze the evidence provided throughout the years regarding the application of motor imagery (MI) in sport performance, focusing on the PETTLEP approach. Among the different MI approaches, in fact, the PETTLEP model takes into account many different domains for increasing the performance of athletes. These domains include physical features, the environment, task-related aspects, timing, learning, emotion, and perspective.

Published in Applied Sciences

ISSN: 2076-3417 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Engineering (General). Civil engineering (General); Science: Biology (General); Science: Physics; Science: Chemistry
Website: http://www.mdpi.com/journal/applsci

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