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

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.

Working Memory (WM) capacity has been linked to performance on a wide range of elementary and higher order cognitive tasks. Due to evidence suggesting that NeuroTracker speed thresholds are an indicator of the quality of high-level brain function, and because it is an adaptive task, the researchers selected NeuroTracker to investigate whether training could improve WM capacities. A further reason was to test a training approach with short intervention times for practical military implementations for the Canadian Armed Forces.

41 soldiers in the Canadian Armed Forces volunteered for the study. First they were tested on three WM span tasks: word (verbal) span, matrix span, and visual span, establishing a baseline measure for each test. Participants were then distributed evenly into 3 groups based on demographic and cognitive factors,Experimental group: performed 10 NeuroTracker Core sessions over a 2 week periodActive control group: performed an adaptive dual n-back task over a 2 week period Passive control group: No activity over a 2 week periodAt the end of the two weeks, the three WM span tests were retaken.

For the NeuroTracker group, speeds thresholds increased considerably over the 10 sessions, and training resulted in a significant pre-post increase in word span, matrix span, and visual span, with medium to large effect sizes. In contrast, for the active control, group training did not alter any of the WM span measures. Similarly, WM span measures did not alter for the passive control group. The researchers concluded that a short amount of NeuroTracker training can benefit WM capacity in a military sample. Additionally, the consistent NeuroTracker improvements across each type of WM span reflect a primarily domain-general construct (a generality of WM capacity).

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To examine whether individuals who play video games at a professional level in the esports industry differ from amateur video game players in their cognitive and learning abilities.

14 elite professional gamers and 16 casual video game players were assessed on a battery of standard neuropsychological tests evaluating processing speed, attention, memory, executive functions, and manual dexterity. In addition, both groups completed 15 distributed NeuroTracker sessions to assess dynamic visual attention and learning abilities.

Professional players showed the largest performance advantage relative to amateur players for visual spatial memory (Spatial Span), and with more modest benefits for selective and sustained attention (d2 Test of Attention), and auditory working memory (Digit Span). Professional players also had greatly higher initial speed thresholds on NeuroTracker, with the advantage increasing marginally over the 15 sessions. Overall, the cognitive assessments differentiated the professional and amateur groups, however there was negligible correlation with these results in terms of gaming experience in either group. In conclusion, standardized cognitive assessments revealed some elevated abilities of pro gamers, however NeuroTracker baselines and learning rates provided much more sensitive comparative measures.

Several studies have shown that aerobic exercise can slow age-related cognitive decline, and in some cases, improve cognitive function in the older population. The purpose of this study was to investigate for the first time, the effects of resistance training on cognitive function, as measured by changes in NeuroTracker measures.

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25 older adults with a mean age of 70yrs were split into a trained group (6 weeks of resistance exercises), and an untrained group. Perceptual-cognitive ability was measured pre and post training using NeuroTracker baselines.

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The older adults who performed six weeks of resistance training experienced significant improvements in perceptual-cognitive function as measured by NeuroTracker. Resistance training may therefore be an effective means to slow age related cognitive decline.

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 critically review emerging digital sports vision training (SVT) technologies, classify them into coherent categories, and evaluate the strength of empirical evidence supporting performance enhancement claims.

The review proposes a structured taxonomy dividing digital sports vision training into component skill training (e.g., perceptual–cognitive and sensorimotor tools) and naturalistic simulation-based approaches (e.g., stroboscopic and VR training), assessing evidence for each.

Perceptual–cognitive systems such as 3D-MOT demonstrate reliable sensitivity to athletic expertise and show emerging, though still developing, evidence for transfer to sport-specific performance metrics.

Intermittent visual occlusion training enhances motion sensitivity, anticipation, and visuomotor control under constrained conditions, with preliminary but variable evidence of sport performance benefits.

Eye-tracking research shows that training longer task-relevant fixations (Quiet Eye) can measurably improve accuracy and consistency in precision sports tasks.

Virtual reality platforms offer immersive, scenario-based training opportunities, but empirical validation of sustained real-world transfer remains limited relative to their growing adoption.

To investigate how attentionally based performance and learning is affected when audio stimuli is present in athletic populations.

Twenty USPORT level football athletes (mean age = 20.5yrs) completed in 18 sessions of NeuroTracker Training. Ten athletes completed the training in a dark room with no external noise (had noise cancelling headphones). The other ten athletes completed the training in the same room but were exposed to a consistent simulated crowd noise.

No significant differences in NeuroTracker initial baselines were found between the two groups were found. However, after the 18 training sessions, the mean NeuroTracker score for the noise group was 2.07 (SD = 0.24). In contrast the no noise group averaged significantly slower at 1.77 (SD = 0.32). Although studies show that noise can inhibit attentional processing, this study indicates that presence of the simulated crowd noise may enhance the ecological validity of NeuroTracker training for athlete populations.

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 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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