Neural Markers of Performance States in an Olympic Athlete: An EEG Case Study in Air-Pistol Shooting.

This study focused on identifying the neural markers underlying optimal and suboptimal performance experiences of an elite air-pistol shooter, based on the tenets of the multi-action plan (MAP) model. According to the MAP model's assumptions, skilled athletes' cortical patterns are expected to diffe...

Descripción completa

Detalles Bibliográficos
Publicado en:Journal of Sports Science & Medicine Vol. 15; no. 2; pp. 214 - 223
Autores principales: di Fronso, Selenia, Robazza, Claudio, Filho, Edson, Bortoli, Laura, Comani, Silvia, Bertollo, Maurizio
Formato: case study diagnostic images research tables/charts Journal Article
Publicado: Hakan Gur, Journal of Sports Science & Medicine Jun2016
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:This study focused on identifying the neural markers underlying optimal and suboptimal performance experiences of an elite air-pistol shooter, based on the tenets of the multi-action plan (MAP) model. According to the MAP model's assumptions, skilled athletes' cortical patterns are expected to differ among optimal/automatic (Type 1), optimal/controlled (Type 2), subop-timal/controlled (Type 3), and suboptimal/automatic (Type 4) performance experiences. We collected performance (target pistol shots), cognitive-affective (perceived control, accuracy, and hedonic tone), and cortical activity data (32-channel EEG) of an elite shooter. Idiosyncratic descriptive analyses revealed differences in perceived accuracy in regard to optimal and suboptimal performance states. Event-Related Desynchroniza-tion/Synchronization analysis supported the notion that optimal-automatic performance experiences (Type 1) were characterized by a global synchronization of cortical arousal associated with the shooting task, whereas suboptimal controlled states (Type 3) were underpinned by high cortical activity levels in the atten-tional brain network. Results are addressed in light of the neural efficiency hypothesis and reinvestment theory. Perceptual training recommendations aimed at restoring optimal performance levels are discussed.