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Neuromechanical proficiency in elite performance decision-making: An event-related potential (ERP) analysis.
Xiong, Qiang; Song, Dan-Li.
Afiliación
  • Xiong Q; The College of Physical Education, Minnan Normal University, Zhangzhou, Fujian, 363000, China; Sports Science Research Center, Minnan Normal University, Zhangzhou, Fujian,363000, China; Women's volleyball spirit Research Center, Minnan Normal University, Zhangzhou, Fujian, 363000, China.
  • Song DL; Sports Coaching College, Beijing Sport University, 100084, China. Electronic address: songdanli0814@bsu.edu.cn.
SLAS Technol ; 29(5): 100171, 2024 Oct.
Article en En | MEDLINE | ID: mdl-39067818
ABSTRACT
This research focuses intensively on the neural mechanisms of action selection responses in elite athletes during high-stakes decision-making. It emphasizes the neuromechanical dimensions of these processes, contrasting the responses of expert and novice players within a theoretical framework of neural information processing in high-performance contexts. Utilizing advanced EEG technologies, including event-related potential (ERP) analysis, the study captures a comprehensive view of both behavioral and neurophysiological data. The central aim is to unravel the intricate neural underpinnings that distinguish elite athletes in their decision-making strategies. Key findings highlight (1) Enhanced accuracy and swifter reaction times in elite athletes during the action selection phase; (2) Significant neurophysiological differences, marked by pronounced N1 peak amplitudes with prolonged latencies, reduced P2 peak amplitudes with stable latencies, decreased P3 peak amplitudes with reduced latencies, and increased average PSW amplitudes. These discoveries significantly advance our understanding of the neural foundations of expert decision-making in high-performance sports. This study not only sheds light on the cognitive and neural dynamics of elite sports performance but also provides a foundation for developing training and performance enhancement techniques in various high-stakes domains.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Toma de Decisiones / Electroencefalografía / Potenciales Evocados Límite: Humans / Male Idioma: En Revista: SLAS Technol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Toma de Decisiones / Electroencefalografía / Potenciales Evocados Límite: Humans / Male Idioma: En Revista: SLAS Technol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos