title: Selective Efficacy of Static and Dynamic Imagery in Different States of Physical Fatigue.
abstract: There is compelling evidence that motor imagery contributes to improved motor performance, and recent work showed that dynamic motor imagery (dMI) might provide additional benefits by comparison with traditional MI practice. However, the efficacy of motor imagery in different states of physical fatigue remains largely unknown, especially as imagery accuracy may be hampered by the physical fatigue states elicited by training. We investigated the effect of static motor imagery (sMI) and dMI on free-throw accuracy in 10 high-level basketball athletes, both in a non-fatigued state (Experiment 1) and immediately after an incremental running test completed until exhaustion (20 m shuttle run-test-Experiment 2). We collected perceived exhaustion and heart rate to quantify the subjective experience of fatigue and energy expenditure. We found that dMI brought better shooting performance than sMI, except when athletes were physically exhausted. These findings shed light on the conditions eliciting optimal use of sMI and dMI. In particular, considering that the current physical state affects body representation, performing dMI under fatigue may result in mismatches between actual and predicted body states.
authors.affiliation: Université de Lyon, Université Claude Bernard Lyon 1, Laboratoire Interuniversitaire de Biologie de la Motricité (LIBM), F-69622, Villeurbanne, France.|Grupo de Pesquisa em Sistema Neuromuscular e Exercício, Londrina State University, Paraná, Brazil.|CAPES Foundation, Ministry of Education of Brazil, Brasília, Distrito Federal, Brazil.
authors.forename: Thiago Ferreira Dias
authors.initials: TF
authors.lastname: Kanthack
authors.affiliation: Université de Lyon, Université Claude Bernard Lyon 1, Laboratoire Interuniversitaire de Biologie de la Motricité (LIBM), F-69622, Villeurbanne, France.|Institut Universitaire de France, Paris, France.
authors.forename: Aymeric
authors.initials: A
authors.lastname: Guillot
authors.affiliation: Grupo de Pesquisa em Sistema Neuromuscular e Exercício, Londrina State University, Paraná, Brazil.
authors.forename: Leandro Ricardo
authors.initials: LR
authors.lastname: Altimari
authors.affiliation: Unidad de Fisioterapia, Universidad de Alcalá, Alcalá de Henares, Madrid, España.
authors.forename: Susana
authors.initials: S
authors.lastname: Nunez Nagy
authors.affiliation: Université de Lyon, Université Claude Bernard Lyon 1, Laboratoire Interuniversitaire de Biologie de la Motricité (LIBM), F-69622, Villeurbanne, France.
authors.forename: Christian
authors.initials: C
authors.lastname: Collet
authors.affiliation: Université de Lyon, Université Claude Bernard Lyon 1, Laboratoire Interuniversitaire de Biologie de la Motricité (LIBM), F-69622, Villeurbanne, France.
authors.forename: Franck
authors.initials: F
authors.lastname: Di Rienzo
mesh_terms: D000293:Adolescent; D054874:Athletic Performance / Q000502:physiology* / Q000523:psychology; D001490:Basketball / Q000502:physiology* / Q000523:psychology; D004734:Energy Metabolism; D006339:Heart Rate; D006801:Humans; D019018:Imagery, Psychotherapy / Q000379:methods*; D008297:Male; D018763:Muscle Fatigue; D011597:Psychomotor Performance; D055815:Young Adult