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To investigate if NeuroTracker learning rates can characterize different neurodevelopmental conditions in children.

The researchers focused on three different neurodevelopmental conditions: Attention-deficit/hyperactivity disorder (ADHD), Specific learning disorder (SLD), and Intellectual developmental disorder (IDD). 101 participants aged 6 to 17 years old completed a total of 30 NeuroTracker sessions over a period of 5 weeks, along with standardized neuropsychological assessments to confirm each neurodevelopmental diagnosis.

Progression in NeuroTracker scores throughout the training program were scientifically analyzed using a latent growth curve modeling technique. This analysis revealed 1) a decreased baseline performance for children with IDD along with slower initial learning rates, 2) children with ADHD and SLD demonstrate a reduced rate of longer-term learning, 3) a significant overlap exists between individuals diagnosed with ADHD and SLD.

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.

To assess the learning capacities of elite athlete populations compared to amateur athletes and nonathlete university students on a neutral cognitive training assessment (NeuroTracker).

308 participants were assessed by completing 15 distributed NeuroTracker sessions, grouped as the following: 102 professional elite athletes (NHL, EPL and Top 14 Rugby), 173 NCAA elite non-professional athletes, and 33 non-athlete university students.

The results showed a clear distinction between level of athletic performance and corresponding fundamental mental capacities for learning a demanding abstract and dynamic scene task. Elite athletes showed significantly higher initial baselines than the other groups, along with substantially superior learning rates. The elite non-professional athletes also similarly significantly higher learning rates over the non-athletes group. For the first time this evidence suggest that a defining characteristic of elite professional athletes is their perceptual-cognitive learning prowess, associated with unusually high levels of neuroplasticity, and that NeuroTracker is a sensitive tool for objectively assessing these abilities.

To systematically evaluate the effectiveness of visual training interventions on improving simple and choice reaction time (RT) in athletic populations.

Following PRISMA 2020 guidelines, the authors reviewed 18 studies (N = 627 athletes) published between 2010 and 2024. Interventions included stroboscopic training (N = 7), light board training (N = 6), visual occlusion drills (N = 3), and 3D-MOT/NeuroTracker programs (N = 2). Methodological quality was assessed using the PEDro scale and Cochrane Risk of Bias tool

Seventeen of the 18 studies reported statistically significant improvements in reaction time, with gains ranging from 5% to 27%. Choice reaction time showed more consistent improvements than simple RT, suggesting perceptual-cognitive contributions to training effects. Stroboscopic and perceptual-cognitive interventions, including 3D-MOT/NeuroTracker, demonstrated some of the larger reported gains. However, heterogeneity in protocols, limited long-term follow-up, and few ecologically valid transfer measures were noted as key methodological limitations

To investigate of NeuroTracker baselines can be a predictor of air traffic control task performance.

46 participants completed 2 hours of assessments including a NeuroTracker baseline, the Corsi Block Tapping and Automated Operation Span tests, followed by a simulated air traffic control task.

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After controlling for age and video game playing, NeuroTracker baselines significantly predicted correct detections of conflicts between aircraft, fewer false alarm responses to conflicts, and faster aircraft acceptance and hand-off performance. NeuroTracker was a stronger predictor of these outcomes, than the Corsi Block Tapping and Automated Operation Span tests. The researchers concluded that the findings demonstrate that NeuroTracker and could be useful for applicant screening and selection of air traffic control personnel.

To systematically evaluate the scientific evidence supporting NeuroTracker as a perceptual-cognitive training tool, examining both (1) whether it trains the cognitive functions claimed and (2) whether training transfers to other domains, particularly real-world performance.

NeuroTracker consistently produces improvements on the trained 3D-MOT task itself (robust task-specific learning). Near transfer evidence exists, but some study results are are inconsistent or limited by small samples or methodological weaknesses. Far transfer evidence is limited to only a small number of studies, with mixed outcomes—two of three far-transfer studies reported no significant effect. Methodological concerns of existing research include lack of preregistration, sample sizes, unmatched control groups, and inconsistent reporting of transfer outcomes. The authors also argue that the cognitive processes underlying 3D-MOT are complex and not fully aligned with some marketing claims.

To investigate if the decline in biological motion perception associated with healthy aging can be reversed with a short NeuroTracker training intervention.

13 participants completed 3-hours of NeuroTracker training over 5-weeks, and 28 control participants did either experimental training or no training (overall mean age of 67 years old). Pre-post assessments of biological motion perception was assessed with a VR walker (point like display) at 4m and 16m.

Pre-NeuroTracker training participants displayed significantly lower performance for interpreting human movement at 4m, compared to 16m. Controls showed no change post-training, whereas the NeuroTracker trained group's performance at 4m rose to the level of their performance at 16m. As biological motion perception abilities are deemed to be important for social skills, as well as critical for collision avoidance at 4m, the researchers concluded that the results demonstrate NeuroTracker to be a useful form of generic training for helping older people deal with socially relevant dynamic scenes.

To investigate if NeuroTracker training can improve archery concentration performance at moment of shooting.

20 archers in an archery club were divided into two control groups. Over 12 visits the one group completed NeuroTracker training, while the other group completed conventional archery training. Pre-post assessments of concentration were completed by both groups using the Concentration Grid Test.

‍There was a significant transfer effect from both the NeuroTracker training and the conventional training on the improvement of the archery athlete’s concentration, however NeuroTracker training demonstrated stronger post-training improvements on the Concentration Grid Test across mean, standard deviation and gain scores. The researchers conclude NeuroTracker could be an effective training method to improve the concentration of archery athletes.

To combine several tests known to assess driving fitness and propose a methodology to bring these together under a single index termed the ‘Driver’s Safety Index’.

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115 licensed drivers between the ages of 18 and 86 were separated into two groups: 64 young participants (average age of 29 years), and 51 older participants (average age of 77 years). Each participant was assessed on three different experimental phases. 1. Visual tests: visual acuity test (V1), stereoscopic vision test (V2), and a binocular visual field test (V3). 2. Simulator driving tests across 3 difficulty based scenarios: highway (low), rural (medium) and city (high). 3. NeuroTracker as a visuo-cognitive test. A wide range of driving performance metrics from the simulator test were analyzed for correlations with the visual tests, age, and NeuroTracker scores.

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There were limited correlations between driving performance and the visual tests. High NeuroTracker scores correlated strongly with high driving performance, and low scores with low driving performance, along with a strong relationship for crash risk. NeuroTracker scores were also a better predictor of driving performance than age. Driving abilities are strongly associated with NeuroTracker scores. These findings highlight the importance of visuo-cognitive abilities in the assessment of driving abilities. This study paves the way toward a single, common indicator of driving behaviour. The study authors recommend that NeuroTracker should be a component in the battery of tests for obtaining or renewing a driving license.