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To examine the practical efficacy of cognitive enhancement interventions through a gold-standard template for assessing use of such tools, and to assess NeuroTracker evidence against the template for enhancing attention, working memory and visual information processing speed.

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To assess cognitive tools and NeuroTracker specifically against the following gold-standard criteria and with qEEG findings on changes in neuroelectric brain activity: 1. Robust transfer effects, 2. No Side Effects or Risk of Toxicity, 3. Minimal time and monetary investment, 4) Lasting effects, 5) No ethical issues, 6) Can be used in combination with other interventions, 7) Can be applied to any population.

3-hours of training over 5-weeks with NeuroTracker demonstrated robust effects on attention, working memory, and visual information processing speed as measured by neuropsychological tests. Corresponding changes measured by qEEG were also corroborated these intervention effects. NeuroTracker was concluded to meet the gold standard criteria in points 1, 2, 3, and 5, with some evidence to support the other points, but further research needed.

To assess the performance transfer effects from NeuroTracker training to professional baseball hitting over a competition season.

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12 Japanese pro baseball players from the Seibu Lions performed NeuroTracker training at their own preferred timing and frequency over 5 months, completing up to 80 sessions each. Throughout this duration and 4 months prior, competition hitting metrics were recorded: zone contact, zone-swing strike, outside swing, outside-swing strike.

On average the baseball players’ NeuroTracker speed threshold scores improved by around 30%, with no ceiling effects from continued training. Metrics on fastball hitting showed no significant changes. However, metrics on non-fastball hitting (e.g. curve balls and sliders) revealed strong positive effects. Successful hit rate increased by +12%, while zone swing and outside swing strikes were reduced substantially by -25.3% and -26.5% respectively. Outside swings were also positively reduced by -9.6%.

To investigate NeuroTracker baselines could be predictive of driving performance across 3 simulated scenarios, to see if these measures could be predictive of driving risks.

115 drivers were divided into three age and experience groups: young inexperienced (18-21 years old), adult experienced (25-55 years old) and older adult (70-86 years old). Participants were tested for 2 hours across three different driving scenarios varying in mental workload (low, medium, high), using a highly sophisticated driving simulator. A total of 18 different metrics on driving behavior were evaluated and compared to NeuroTracker baseline scores.

Statistical analysis of NeuroTracker results and driving performance metric yielded significant correlations, including being predictive of driving speed, breaking speed, and reaction to dangerous events. Low NeuroTracker scores effectively predicted elevated risks of crashes. Lower NeuroTracker scores also correlated significantly with slower average driving speed for older adults, providing evidence towards the theory that driving more slowly is related to the cognitive effects of aging.