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EEG-based neurophysiological indices for expert psychomotor performance - a review.
Morrone, Jazmin M; Pedlar, Charles R.
Affiliation
  • Morrone JM; Faculty of Sport, Allied Health, and Performance Science, St Mary's University, Twickenham, London, UK. Electronic address: Jazmin.Morrone@stmarys.ac.uk.
  • Pedlar CR; Faculty of Sport, Allied Health, and Performance Science, St Mary's University, Twickenham, London, UK; Institute of Sport, Exercise and Health, Division of Surgery and Interventional Science, University College London, UK.
Brain Cogn ; 175: 106132, 2024 Mar.
Article in En | MEDLINE | ID: mdl-38219415
ABSTRACT
A primary objective of current human neuropsychological performance research is to define the physiological correlates of adaptive knowledge utilization, in order to support the enhanced execution of both simple and complex tasks. Within the present article, electroencephalography-based neurophysiological indices characterizing expert psychomotor performance, will be explored. As a means of characterizing fundamental processes underlying efficient psychometric performance, the neural efficiency model will be evaluated in terms of alpha-wave-based selective cortical processes. Cognitive and motor domains will initially be explored independently, which will act to encapsulate the task-related neuronal adaptive requirements for enhanced psychomotor performance associating with the neural efficiency model. Moderating variables impacting the practical application of such neuropsychological model, will also be investigated. As a result, the aim of this review is to provide insight into detectable task-related modulation involved in developed neurocognitive strategies which support heightened psychomotor performance, for the implementation within practical settings requiring a high degree of expert performance (such as sports or military operational settings).
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Psychomotor Performance / Electroencephalography Type of study: Prognostic_studies Limits: Humans Language: En Journal: Brain Cogn Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Psychomotor Performance / Electroencephalography Type of study: Prognostic_studies Limits: Humans Language: En Journal: Brain Cogn Year: 2024 Document type: Article
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