The Brain's Full Potential is Being Unlocked by Businesses Everywhere

To investigate if a NeuroTracker intervention could improve cognitive abilities in older adults with subjective cognitive decline, and determine if AI models could be used to increase training efficacy.

48 participants between 60 and 90 years of age with subjective cognitive complaints, but otherwise healthy, were assigned to NeuroTracker training group (26) or a control group (22). All participants provided detailed socio-demographic information via questionnaires and baseline neuropsychological assessments (California Verbal Learning Test, Digit Span, D-KEFS Trail Making Test, D-KEFS Verbal Fluency Test, and Stroop Test). The NeuroTracker group performed 7 weeks of training, the control group only performed NeuroTracker baseline assessments. Both groups performed follow-up neuropsychological assessments at 8 weeks and 11 weeks. Machine Learning models were used to analyze demographic and assessment data to test if cognitive performance and responsiveness to training could be predicted.

‍

The NeuroTracker group experience a large improvement in scores of around 70%, along with wide and robust performance transfer on the neuropsychological assessments at week 8, with further gains (without training) at week 11. AI models yielded highly accurate predictions of responsiveness to the training intervention. The researchers propose that such models can be used to effectively tailor NeuroTracker programs to the needs of individuals.

To review the existing perceptual-cognitive research and outline the relevance of NeuroTracker for the performance assessment and enhancement of competitive soccer abilities.

‍

Several papers published on NeuroTracker were reviewed, including ‘Perceptual-Cognitive Training of Athletes’, ‘3D-Multiple Object Tracking task performance improves passing decision-making accuracy in soccer players’, ‘Visual tracking speed is related to Basketball-specific measures of performance in NBA players’, and ‘Enhancing Cognitive Function Using Perceptual-Cognitive Training’.

‍

The combined existing research provides significant evidence for the usefulness of perceptualcognitive training to assess and enhance soccer abilities. Cognitive abilities are a significant feature of athletic excellence, and elite soccer players differ in their superior perceptual abilities in comparison to amateur players. NeuroTracker training has been found to improve high-level cognitive abilities known to be central factors in predicting soccer performance. Specifically, research has demonstrated that after just 3 hours of 3D multiple object tracking training, soccer players’ experienced a dramatic reduction in passing errors, from an error rate of 47%, down to just 28%.

‍

To synthesize current evidence on the multi-object tracking (MOT) paradigm as both an assessment tool and a cognitive training intervention, with a focus on transfer effects and underlying perceptual-cognitive mechanisms.

The authors reviewed experimental and applied studies using MOT and 3D-MOT (including NeuroTracker) paradigms across cognitive science, sports, aging, and clinical research contexts. The review evaluated task parameters, cognitive mechanisms engaged, and evidence for near and far transfer outcomes following MOT training.

The review found consistent evidence supporting near-transfer effects of MOT training on attentional processes, processing speed, and visuospatial tracking. Evidence for far transfer to broader executive functions, sport performance, and real-world tasks was more variable and dependent on study design and contextual factors. The authors conclude that while MOT paradigms reliably engage core perceptual-cognitive systems, further research is needed to clarify mechanisms and optimize transfer to applied domains.

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

‍

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%.

The goal of this multi-year research project was to develop methods for assessing the efficacy of training (including live and simulated platforms) by validating measures of cognitive workload that characterize skill acquisition.

‍

10 evaluation pilots (100-300 flight hours of experience) were selected to perform low, medium and high difficulty flight manoeuvres in both a jet flight simulator and live jet flight (Aero Vodochody L-29 jet trainer) using experimental conditions. During flight ECG data (NeXus-4) and eye-tracking data (Dikablis) was collected. Flight performance was analysed for altitude, roll, and vertical speed errors, and cognitive workload was subjectively assessed (10-point Bedford Workload Scale). As a validated tool for evaluating perceptual-cognitive skills, NeuroTracker was selected as to measure spare cognitive capacity via extraneous load (Cognitive Load Theory). All pilots first completed home-based NeuroTracker consolidation training (15 Core sessions). NeuroTracker was integrated into the flight testbed. Low, medium and high difficulty flight manoeuvre tests were performed by all pilots, both without NeuroTracker, and while simultaneously performing NeuroTracker Core sessions.

‍

Compared to performing NeuroTracker alone, live and simulated flight across all manoeuvres, caused a drastic decrease in NeuroTracker speed thresholds (average of ~97%). This, perhaps for the first time, objectively demonstrated that jet flight involves very high intrinsic cognitive loads. Live flight resulted in lower NeuroTracker speed thresholds and physiological performance than simulated flight, with greater differences for higher difficulty maneuverers. This evidence suggests that physiological and cognitive loads are significantly heavier in live flight, supporting the theory that that brain dynamics differ in real-world environments compared to those of a laboratory.

The purpose of this study was to examine the effect of the L-Alanyl-L-Glutamine dipeptide (AG) and electrolyte drink (ED) on cognitive function (NeuroTracker) following endurance exercise, in order to measure the effects of rehydration effectiveness.

12 male endurance athletes performed four trials, each consisting of running on a treadmill at 70% of VO2max for 1h, then at 90% of VO2max until exhaustion. One trial consisted of no hydration, another required ingestion of only a sports electrolyte drink (ED) and two trials required ingestion of a low dose (LD) and high dose of AG (HD) added to the ED. Cognitive function was measured through NeuroTracker baselines pre and post-exercise.

Before rehydration, subjects lost on average 2.4% of their body mass. Pre-post rehydration changes showed HD to be the most effective in aiding cognitive function, and electrolyte only having questionable benefit.

The purpose of this study was to investigate the relationship between the effects of 4-weeks of NeuroTracker training on in-game soccer performance measures.

13 NCAA Division I soccer players were split into trained and control groups. Both groups completed a NeuroTracker baseline. The trained group then completed 10 NeuroTracker training sessions (60 minutes) over a 4-week period. Soccer performance metrics were obtained from WyScout where 2 game averages were examined to compare pre-post-NT performance.

Data analysis revealed a moderate improvement of the trained group over the control group in passing accuracy, a 8.5% increase post-training, versus a 3.5% increase. Small non-significant improvements were also observed for successful actions and short+medium passes for the NeuroTracker trained group.

‍

To examine if cognitive assessments using NeuroTracker could be predictive of daily trader performance metrics.

29 professional male traders aged between 35 and 65 years old were recruited NeuroStreet Trading Academy over a 9-month period. Using the remote NeuroTrackerX software and anaglyph 3D glasses the traders completed 6-minute assessments each work day, following standardized research protocols. Data from the Ninjatrader Trading Platform was used to record 7 key performance metrics across each day of trading.

NeuroTracker data revealed a high learning response across a total of 624 days of trading. Data analyses showed a strong correlational relationship between daily NeuroTracker baselines and 5 of the trading performance metrics, with Total Net Profit being the most significant. The researchers concluded that a 6-minute NeuroTracker assessment was effective at predicting real-world trading performance on any given day.

‍

To investigate if beef and beef-related nutrient intake can explain the variance in visual cognitive performance in young females.

52 college age women performed 15 NeuroTracker sessions over 15 days with normal eating habits, as a preliminary study. Then 80 college age women were randomized in an RCT study to either a daily beef or veggie patty and consumed 1 patty/day for 30 days, and assessed with NeuroTracker.

In the preliminary study, higher iron, cholesterol, choline, arginine and B vitamins levels were all significantly associated with higher NeuroTracker scores. In the RCT study, the beef group demonstrated higher average NeuroTracker scores. The researchers suggest that increased intake of beef associated nutrients may increase visual cognitive performance in college age women.