| Literature DB >> 33916018 |
Sergio Machado1,2,3, Bruno Travassos2,4,5, Diogo S Teixeira6,7, Filipe Rodrigues8,9, Luis Cid4,8, Diogo Monteiro4,10.
Abstract
Competitive sports involve physical and cognitive skills. In traditional sports, there is a greater dependence on the development and performance of both motor and cognitive skills, unlike electronic sports (eSports), which depend much more on neurocognitive skills for success. However, little is known about neurocognitive functions and effective strategies designed to develop and optimize neurocognitive performance in eSports athletes. One such strategy is transcranial direct current stimulation (tDCS), characterized as a weak electric current applied on the scalp to induce prolonged changes in cortical excitability. Therefore, our objective is to propose anodal (a)-tDCS as a performance-enhancing tool for neurocognitive functions in eSports. In this manuscript, we discussed the neurocognitive processes that underlie exceptionally skilled performances in eSports and how tDCS could be used for acute modulation of these processes in eSports. Based on the results from tDCS studies in healthy people, professional athletes, and video game players, it seems that tDCS is applied over the left dorsolateral prefrontal cortex (DLPFC) as a potential performance-enhancing tool for neurocognition in eSports.Entities:
Keywords: dorsolateral prefrontal cortex; eAthletes; eSports; transcranial direct current stimulation
Mesh:
Year: 2021 PMID: 33916018 PMCID: PMC8037790 DOI: 10.3390/ijerph18073678
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Mechanisms of action induced by transcranial direct current stimulation (tDCS). (A) Red electrode (anodal) delivering a weak electrical current towards the blue electrode (cathodal); (B) left side (cathodal electrode) shows the hyperpolarization of the neurons, provoking an inhibition in neuronal activity. Right side (anodal electrode) shows the inverse behavior, the depolarization of the neurons, generating an increase in neuronal activity. (C) Computational model showing in the left side a brain with reduced activity and, on the right side, a brain with increased activity.