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To assess the extent to which action video game players perform better than non-gamers on cognitive functions measured by NeuroTracker and neuropsychological assessments.

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14 professional and 16 amateur action video game players completed a battery of 7 standardized neuropsychological assessments, a manual dexterity test, and 14 NeuroTracker sessions. Statistical analysis techniques were used to compare cognitive differences.

Analysis revealed that high performance in professional action video games players is associated with enhanced abilities in visual spatial attention, visual and auditory short-term memory, and selective and sustained attention. No significant differences between professionals and amateurs were evident on tasks evaluating executive functions, perceptual manipulation, or manual dexterity. Although both groups displayed a similar learning capacity to improve at NeuroTracker over 90-mins of training, professionals exhibited a distinct performance advantage throughout the intervention. The results overall suggest that elite action video gamers have superior attentional control.

To investigate the relationship between visual tracking speed (NeuroTracker) and soccer-specific performance measures.

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19 NCAA Division I soccer players completed 1 NeuroTracker core session baseline and soccer performance metrics were obtained from WyScout.

Statistical analyses showed a nonsignificant correlation between NeuroTracker score and passing accuracy, and a strong correlation found between consistency score (a sub-component measure of NeuroTracker) and passing accuracy. Specifically for attacking players there was a stronger correlation with consistency and passing accuracy. For defenders, consistency and defensive win rate had a strong correlation.

To examine the influence of nutritional intake on visual perceptual-cognitive performance, measured by NeuroTracker, in young healthy adults.

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98 healthy men (38) and women (60) aged 18–33 years maintained their usual dietary intake while completing NeuroTracker 15 sessions of NeuroTracker over a 15-day period. Food logs and extensive lifestyle measures including body composition, cardiovascular health, sleep and exercise patterns, and general readiness to perform were collected for analysis.

Males consumed significantly more calories, macronutrients, cholesterol, choline, and zinc and performed significantly better on NeuroTracker than the females. Participants who consumed more than 40% of kcals from carbohydrates, less than 24% of kcals from protein, more than 2,000 μg/day lutein/zeaxanthin or more than 1.8 mg/ day of vitamin B2 performed significantly better on NeuroTracker than those who consumed less than those amounts. The researchers concluded that perceptual-cognitive performance is positively influenced by higher carbohydrate, lutein/ zeaxanthin, and vitamin B2 dietary intake, while high protein consumption had negative impacts.

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

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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’.

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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%.

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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.

To investigate if older populations with clinically diagnosed cognitive impairments associated with fine-motor skills difficulties could measurably benefit from a short cognitive training intervention.

38 elderly participants, half with mild cognitive impairment (MCI) and half with mild dementia (MD) completed a total of 36 sessions of NeuroTracker training. The Montreal Cognitive Assessment (MoCA) test was used to assess the baseline cognitive status, and two batteries of manual motor skills assessments completed before and after the training program.

The results showed clear and significant post-training improvements in both manual dexterity tests. Analysis indicated that only 90-minutes of NeuroTracker training was needed to achieve these benefits with these populations. The researchers concluded that this type of intervention could have a broad impact on the aging population in terms of their daily quality of life.

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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.

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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 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.

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To investigate if real-time Neurofeedback can enhance learning rates for NeuroTracker training.

40 healthy adults were assigned to four training groups (ten each), performing either:-

• Standard NeuroTracker training

• No training (control group)

• NeuroTracker with EEG-Neurofeedback

• NeuroTracker with sham Neurofeedback

EEG-Neurofeedback involved closed-loop feedback that automatically detects when a participant has lost track of their targets and immediately reindexes them.

The standard NeuroTracker group, control group and EEG-Neurofeedback groups started a similar level, higher than the sham Neurofeedback group. However the EEG-Neurofeedback showed superior learning rates over all other groups over the course of 10 training sessions. The results show that a closed-loop learning paradigm is highly effective at enhancing learning outcomes on the NeuroTracker task.

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