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To examine the role of working memory and visual attention for tracking expertise in different sports.

Two experiments were performed. In the experiment 1 (assessment-only), 31 male and female experienced athletes were divided into high-tracking and low-tracking sports, e.g. soccer vs swimming. They completed 3 assessment blocks (9 trials each) of the Jardine and Seiffert 2D MOT task, using 2, 3 and 4 targets at slow, medium and fast fixed speeds. Eye tracking behavior was recorded during the task. In experiment 2, 36 participants (similar to experiment 1) were divided into a control and active group. Pre and post training, both groups completed the same 2D MOT assessment with eye tracking, as well as 2 types of n-back working memory assessments (combined visual and auditory demands). The active group completed a training intervention of 4 NeuroTracker sessions (20 trials each), using adaptive speed adjustments, whereas the controls did not.

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In Experiment 1, analysis of eye tracking data revealed that directing gaze towards the center of the screen was a beneficial strategy for achieving higher tracking performance. High tracking sports showed superior tracking performance overall. In experiment 2, the active group experienced a large improvement in both NeuroTracker scores and working memory performance post-training, including a 35% increase WM accuracy. Training also transferred to significantly improved performance on the 2D MOT assessment. Controls showed no significant changes in pre-post assessments.

To compare performance and muscle architecture changes in starters and nonstarters during a National Collegiate Athletic Association Division I women's soccer season.

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28 females (av. 20 years old) were assessed on NeuroTracker baselines, vertical jump power, repeated line drills and reaction time at preseason, midseason, and postseason. Muscle architecture changes using ultrasonography were assessed at preseason and postseason.

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Both starters and non-starters showed similar status or improvements on all assessments across the season, except for line drills performance, which showed greater improvements for starters. NeuroTracker and reaction time performance improved regardless of playtime. Results of muscle architecture analysis indicated that practice training alone provide sufficient stimulus for improving muscle quality during the competitive season. Overall starters did not display significant benefits from competition over athletes who performed training only.

Attention and concentration are crucial abilities that affect the decision-making of athletes; e.g. during a soccer action, an athlete has to divide attention on the field (teammates, opponents, ball), to use selective attention (which player to give the ball to) and to focus attention (staring at the net to score). To this purpose, many benefits may arise from the high-level NeuroTracker conditioning technique as it stimulates active processing of dynamic visual information and trains perceptual- cognitive functions of athletes. In particular, it targets selective, dynamic and sustained attention, as well as working memory.

23 university soccer players participated in the study and were randomly allocated to three different groups. Experimental group: performed 30 NeuroTracker Core sessions over a 5 week period Active control group: performed 30 3D soccer videos sessions over 5 week periodPassive control group: No particular training activity over a 5 week period.Players ’ decision-making was evaluated during standardized small sided games before and after the training period. Decision-making of soccer players was objectively analysed through video recordings of the small sided games by a soccer coach blinded to the experimental protocol and using a standardized coding criteria. Subjective decision-making accuracy was directly evaluated from players’ confidence levels in decision-making promptly after the games using a Visual Analog Scale (Sport Performance Scale).

Only the NeuroTracker trained group showed an increase (15%) in passing decision making on the field after the training. Moreover, players’ subjective decision-making assessment was quantitatively proportional to the improvement in decision-making accuracy rated during video analysis for theNeuroTracker trained group.These results seem to demonstrate that passing decision-making accuracy improvement in the trained group represents a meaningful training effect. For the first time, this study demonstrates a perceptual-cognitive transfer from the laboratory to the field following a non-sport specific perceptual-cognitive training program.

To compare the visual tracking performance of professional as well as amateur eSport players and traditional sportsmen using NeuroTracker.

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19 professional players, 22 amateur players and 18 traditional sportsmen completed 3 NeuroTracker sessions. The first session was completed in 2D (non-stereo), and sessions 2 and 3 were completed in 3D (stereo). Experience and playtime data was also collected for analysis.

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Professional players spent significantly more time playing esports than amateurs. Pearson correlations revealed positive associations between hours of esport / week and NeuroTracker scores. Mean session score averages across each session consistently found esport professional to have the highest NeuroTracker performance, following by traditional sportsmen. Analysis of prior NeuroTracker research showed that session scores for all three groups were higher than the scores of the normal population.

This study measured the capacity of older participants to improve their tracking speed thresholds (NeuroTracker), to investigate if age related cognitive decline can be reversed with a training intervention known to be directly relevant to the effects of healthy aging.

20 healthy younger adults (mean age 24 years old) and 20 healthy older adults (mean age 67 years old) performed 15 NeuroTracker training sessions distributed over 5 weeks.

Both groups obtained benefit from training with a similar rate of progression. Though the older group started off at a significantly lower level than the younger group, they obtained speed thresholds that were similar to those of untrained younger adults by the end of the training program. Furthermore, towards the end of the training program the rate of learning appeared to have slowed for the younger group, yet the older group still showed a strong learning curve, suggesting greater improvements with continued training. In conclusion, although healthy older people show a significant age-related deficit in the NeuroTracker task, they respond strongly to training effects and demonstrate an ability to fully reverse age-related functional decline with a short intervention of NeuroTracker training.

This study sought to investigate the resource limits for dynamic visual attention across age development using NeuroTracker speed thresholds as a measure of attentional capacity.

21 participants were grouped by age: school-aged (6-12 years), adolescent (13-18 years), adult (19-30 years). Each group completed NeuroTracker baselines using speed threshold measurements at progressively increasing numbers of targets.

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For all groups, speed thresholds changed in a logarithmic way consistent with the relative increase in multiple object tracking demands. Attentional capacities for NeuroTracker were determined by age, with significantly lower multiple object tracking limits for school-aged individuals. The findings also suggested that the 3D stereo component of NeuroTracker is a critical enabling factor for processing greater attentional loads: school-aged individuals could track numbers of targets beyond the limits of 2D non-stereo (as established in previous studies). These findings suggest that NeuroTracker can be used for characterizing the development of resource allocation in attentional processes through the use of a measure that best approximates real-world conditions.

To assess the inhibitory effects of physiological fatigue on cognitive function in elite athletes, and to determine if perceptual-cognitive conditioning can reduce any such effects.

22 rugby players from the Top 14 French Professional Rugby League were divided into two groups. The trained group underwent 15 NeuroTracker Core training sessions, and the untrained group did only 3 Core sessions (sitting) to determine an initial baseline measure. All the athletes were then assessed on NeuroTracker while performing on an exercise bike at 80% of their maximum heartrate.

For the trained group, NeuroTracker speed thresholds remained within 0.03% of the range of their baseline (performed sitting). For the untrained group, NeuroTracker speed thresholds dropped by 30% from their predicted baseline. Firstly, the findings suggest that physical fatigue can significantly reduce high-level cognitive functions elicited by the NeuroTracker task, even with seasoned professionals. Secondly, the results also indicate that such effects can be mitigated with prior perceptual-cognitive conditioning, with as little as 90 minutes of distributed training.

To examine if NeuroTracker training transfers to useful field of view (UFOV) performance, a measure strongly associated with driving performance.

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Twenty healthy young adults between the ages of 23 and 33 years were recruited and evenly assigned to either a NeuroTracker training program or active control group using a math game (2048). Both groups completed 5 hours of training distributed over 5 weeks. Both groups completed pre-post standardized assessments of UFOV.

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The NeuroTracker training group exhibited significantly improved UFOV performance, whereas the active control group showed only a small, statistically nonsignificant improvement in the task. The researchers suggest that NeuroTracker and UFOV performance are likely dependent on overlapping cognitive abilities, and that these abilities can be trained and measured in young adults which could lead to improving driving safety.

To investigate the influence of dietary intake and sleep of esports athletes on cognitive performance and learning capacities measured by NeuroTracker.

119 esports athletes completed a rigorous battery of assessments over an 8-10 day period. This included a comprehensive range of 8 self-assessment surveys, a record of diet, fluid intake and urine color, continuous biometric monitoring of heartrate and sleep quality, and 20 sessions of NeuroTracker distributed over the period.

Average sleep quality was found to be in the range of moderate to severe sleep disturbance and most participants did not meet USDA guidelines for numerous key nutrients, as well as exceeding recommendations for cholesterol, sodium, and saturated fat. NeuroTracker baselines improved on average by around 50% by the end of the 20 sessions (similar to elite athletes). Higher NeuroTracker performance was strongly correlated with better sleep and dietary habits, and specifically, consuming the recommended intake of protein was closely tied to increased learning rates.