Physiological and Cognitive Functions Following a Discrete Session of Competitive Esports Gaming

Sousa, Amber; Ahmad, Sophia; Hassan, Tamzid; Yuen, Kyle; Douris, Peter C.; Zwibel, Hallie; DiFrancisco‐Donoghue, Joanne

doi:10.3389/fpsyg.2020.01030

Cited by 61 publications

(56 citation statements)

References 15 publications

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“…Given that the median ISI score for the whole sample was equal to the clinical cut-off, the prolonged wakefulness could be explained by insomnia symptoms. Preliminary evidence suggests that esports athletes (particularly First Person Shooter competitors, which comprised our sample) can experience high stress levels [ 39 , 40 ], which is a common precipitant for insomnia symptoms [ 41 ], However, further research using more thorough diagnostic procedures (e.g., structured clinical interview) is necessary to determine insomnia prevalence rates in esports populations.…”

Section: Discussionmentioning

confidence: 99%

Sleep Characteristics and Mood of Professional Esports Athletes: A Multi-National Study

Lee

Bonnar

Roane

et al. 2021

IJERPH

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Esports is becoming increasingly professionalized, yet research on performance management is remarkably lacking. The present study aimed to investigate the sleep and mood of professional esports athletes. Participants were 17 professional esports athletes from South Korea (N = 8), Australia (N = 4), and the United States (N = 5) who played first person shooter games (mean age 20 ± 3.5 years, 100% male). All participants wore a wrist-activity monitor for 7–14 days and completed subjective sleep and mood questionnaires. Participants had a median total sleep time of 6.8 h and a sleep efficiency of 86.4% per night. All participants had significantly delayed sleep patterns (median sleep onset 3:43 a.m. and wake time 11:24 a.m.). Participants had a median sleep onset latency of 20.4 min and prolonged wake after sleep onset of 47.9 min. Korean players had significantly higher depression scores compared to the other groups (p < 0.01) and trained longer per day than the Australian or United States teams (13.4 vs. 4.8 vs. 6.1 h, respectively). Depression scores were strongly correlated with number of awakenings, wake after sleep onset, and daily training time (p < 0.05). As the first pilot sleep study in the esports field, this study indicates that esports athletes show delayed sleep patterns and have prolonged wake after sleep onset. These sleep patterns may be associated with mood (depression) and training time. Sleep interventions designed specifically for esports athletes appear warranted.

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Section: Discussionmentioning

confidence: 99%

Sleep Characteristics and Mood of Professional Esports Athletes: A Multi-National Study

Lee

Bonnar

Roane

et al. 2021

IJERPH

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“…Özçetin et al (2019) compared processing speed between experts and non-experts for eSports by using the TMT, and they found that experts had significantly faster processing speed than non-experts. Also, Sousa et al (2020) found that the processing speed after the playing eSports was significantly faster than before. Thus, it indicated that processing speed is one of the factors required for eSports athletes.…”

Section: S500mentioning

confidence: 94%

“…According to Özçetin et al (2019), their study compared processing speed between experts and non-experts for eSports by using the Trail Making Test (TMT), and the result indicated experts had significantly faster processing speed than non-experts. In addition, Sousa et al (2020) examined processing speed by using the TMT for eSports athletes, and the results indicated the processing speed after the play was significantly faster than before the play. Thus, it indicated that processing speed is one of the factors required for eSports athletes, and it might be necessary to establish a psychological training method that enhances processing speed.…”

Section: Introductionmentioning

confidence: 99%

A study on psychological training of eSports using digital games: Focusing on rhythm game

Hagiwara¹,

Akiyama²,

Furukado³

et al. 2020

Journal of Human Sport and Exercise - 2020 - Spring Conferences of Sports Science

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Incidentally, several studies have mentioned that digital games or video games have a positive impact on psychological skills (Green, et al., 2003; Pessoa, 2009; Anguera, et al., 2013). Thus, this study aimed to examine the psychological skills focusing on selective attention by comparing the power change in the beta wave band of the EEG during game play and the results of the trail making test (TMT) conducted before and after. Participants were ten male college students who usually play game for at least one hour per day, five days per week (age: M = 21.90 ± 1.96). This study adopted "Osu!" that is a free online rhythm game as an experimental task, because several articles mentioned that professional gamers usually use "Osu!" as a warming up or practice before gaming (Webb, 2019; Carpenter, 2019). Thus, "Osu!" is assumed to have the effect of enhancing the players' psychological skills. In addition, the TMT part B is adopted to measure attention to speed, motor speed, visual screening, mental flexibility, perseverance, interference affinity and reaction inhibition. As a result of comparing change in biological attention extracted from the EEG during game play or baseline measurement, there is a significant difference in selective attentional state between baseline and while game play. In comparison of TMT indicated that processing speed in after rhythm game was tended to be faster than before play. Thus, this study might be indicated that rhythm game would be the one of the psychological or cognitive training tool for eSports.

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“…Movements of eSport athletes are usually constrained to keystrokes, gamepads, joystick, and mouse movements, which facilitates, compared to many real world sports, hypothesis testing and task manipulations typical of laboratory-based experimentation. Critically, virtual reality studies are routinely performed in both humans and animals and could be readily adapted to model eSport, which could be harvested toward a mechanistic understanding of motor performance ( Sousa et al, 2020 ). Whether eSport can be considered as a “true” sport is still debated ( Parry, 2019 ); however, it is worth mentioning that eSport-related activities are on the verge of being incorporated in future Olympics ( Grohmann, 2017 ).…”

Section: On the Definitions Of Sportmentioning

confidence: 99%

Future Portrait of the Athletic Brain: Mechanistic Understanding of Human Sport Performance Via Animal Neurophysiology of Motor Behavior

Quarta

Cohen

Bravi

et al. 2020

Front. Syst. Neurosci.

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Sport performances are often showcases of skilled motor control. Efforts to understand the neural processes subserving such movements may teach us about general principles of behavior, similarly to how studies on neurological patients have guided early work in cognitive neuroscience. While investigations on non-human animal models offer valuable information on the neural dynamics of skilled motor control that is still difficult to obtain from humans, sport sciences have paid relatively little attention to these mechanisms. Similarly, knowledge emerging from the study of sport performance could inspire innovative experiments in animal neurophysiology, but the latter has been only partially applied. Here, we advocate that fostering interactions between these two seemingly distant fields, i.e., animal neurophysiology and sport sciences, may lead to mutual benefits. For instance, recording and manipulating the activity from neurons of behaving animals offer a unique viewpoint on the computations for motor control, with potentially untapped relevance for motor skills development in athletes. To stimulate such transdisciplinary dialog, in the present article, we also discuss steps for the reverse translation of sport sciences findings to animal models and the evaluation of comparability between animal models of a given sport and athletes. In the final section of the article, we envision that some approaches developed for animal neurophysiology could translate to sport sciences anytime soon (e.g., advanced tracking methods) or in the future (e.g., novel brain stimulation techniques) and could be used to monitor and manipulate motor skills, with implications for human performance extending well beyond sport.

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Physiological and Cognitive Functions Following a Discrete Session of Competitive Esports Gaming

Cited by 61 publications

References 15 publications

Sleep Characteristics and Mood of Professional Esports Athletes: A Multi-National Study

Sleep Characteristics and Mood of Professional Esports Athletes: A Multi-National Study

A study on psychological training of eSports using digital games: Focusing on rhythm game

Future Portrait of the Athletic Brain: Mechanistic Understanding of Human Sport Performance Via Animal Neurophysiology of Motor Behavior

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