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To investigate if working memory in Canadian Armed Forces can be improved with unsupervised remote NeuroTracker training as a practical performance enhancement tool.

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66 Canadian Armed Forces soldiers were randomly assigned to NeuroTracker training (30 sessions over two weeks), Dual n-back training, or a passive control group. Verbal and matrix WM span were assessed before and after training, along with the Multi-Attribute Task Battery: MATB-II multi-tasking assessment.

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Both active groups improved on the training tasks with 10-50% improvement in post-training working memory measures. No significant transfer was found for the MATB-II multi-tasking assessment.

To investigate the ‘selfish brain hypothesis’, which suggests the brain prioritizes its own glucose needs over those of the peripheral organs such as skeletal muscle, using individual and dual-task assessments with NeuroTracker and exercise on a cycle ergometer.

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32 participants were randomly assigned to a no priority, cognitive priority (focus on NeuroTracker task), or physical priority (focus on physical task) group. NeuroTracker and a cycle ergometer were used to measure cognition and physical performance, respectively. Participants completed 5 assessments: 2 cognitive, 1 predicted VO2 max, and 1 dual task. During the dual task participants completed 3 NeuroTracker sessions, while cycling on a cycle ergometer. The cycle ergometer was modified to remove demands on balance, isolating aerobic demands.

Results revealed that the physical priority group had significantly higher cycle ergometer performance compared to the cognitive priority group. However, overall physical performance remained relatively stable throughout the physical and dual task assessments. All groups experienced improvements in their visual tracking speed scores as they progressed through the study. No evidence was found to support the selfish brain hypothesis during dual task performance, in contrast results may indicate an arousal effect from physical exercise, heightening NeuroTracker performance compared to single task performance.

To assess if the mechanism of perceptual-cognitive training can transfer to spatial and semantic abilities in students.

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60 male lower secondary school students were randomly assigned a NeuroTracker training group (21 sessions over 7 days) or a passive control group (no training). Pre- and post-training assessment were carried out with the Test of Spatial Ability and the Test Of Semantic Skills–Intermediate.

The control group showed negligible change between pre and post tests, whereas the NeuroTracker group showed significant transfer with around a 50% gain in spatial ability and a 55% gain in semantic skills. The researchers concluded that a NeuroTracker intervention can increase cognitive abilities in secondary school students.

This study investigated the effects of a simulated game-situation cognitive load (NeuroTracker) on lower limb biomechanics, using a landing task relevant to straining of the Anterior cruciate ligament (ACL). ACL injuries are known to be one of the most sports common injuries, and occurrence has been linked to cognitive factors.

7 college level healthy athletes (soccer, volleyball, football) performed 16 single-leg landing trials involving a jump forward and a lateral jump to the opposing leg. These movements were measured via force plates and motion capture of the legs and pelvis using 36 markers. The NeuroTracker task was assigned randomly to half of the trials (dual-task procedure), with jumps performed during the tracking phase.

While NeuroTracking hip and/or knee kinematics measurements were significantly different for all participants. The largest change was found with knee abduction angle, known to be most associated to ACL injury. Of the 7 participants, 4 showed biomechanical changes from the added NeuroTracker task that revealed increased ACL strain associated with ACL injury. Based on the preliminary findings, the researchers hypothesize that a NeuroTracker training intervention may reduce risk on of non-contact ACL injury, and will perform a larger study with more detailed biomechanical analysis.

To investigate whether dynamic visual tracking performance measured using a 3D multiple object tracking task differs across basketball players of varying competitive skill levels.

Basketball athletes from different performance tiers completed a 3D-MOT task designed to assess dynamic visual attention and tracking speed thresholds. Performance metrics were compared between higher- and lower-level players to determine whether tracking ability scales with competitive expertise.

Higher-level basketball players demonstrated significantly superior tracking performance compared to lower-level players, achieving faster speed thresholds and more stable tracking under dynamic conditions. These findings support the link between perceptual-cognitive capacity and competitive skill level, reinforcing the role of dynamic attention in high-performance sport.

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 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.

The purpose of this study was to determine the relationship between visual tracking speed (NeuroTracker) and reaction time on basketball specific measures of performance.

12 professional NBA basketball players (Orlando Magic) were tested with a 1-session NeuroTracker baseline (6-mins), reaction time assessment, and the were results compared to competitive performance metric across an NBA season. Competition data analysis focused on Assists, Turnovers, Assist-to-turnover ratio, and Steals.

Finding show that relationships between NeuroTracker baselines were most strongly correlatedwith Assist-to-turnover ratio, and Turnovers. Backcourt players were more likely to outperform frontcourt players in AST and accordingly very likely to achieve higher NeuroTracker performance. Reaction time was not related to any of the basketball-specific performance measures. Overall a single NeuroTracker session baselines showed significant correlation to the NBA players’ ability to see and respond to various stimuli on the basketball court in ways that resulted in better performance.

To analyze the effectiveness of NeuroTracker training to improve sports vision and cognitive performance using a progressive single and dual-task training protocol.

37 elite water polo (13), taekwondo (12) and tennis elite athletes (12) completed 26 NeuroTracker sessions progressing from single-task training to progressively complex dual-task training. Pre and post training all athletes underwent a comprehensive battery of optometric vision assessments. Throughout the training program both athletes and their coaches completed frequent visual-analogue questionnaire assessments to assess changes in concentration, perception speed and peripheral vision performance.

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Overall NeuroTracker learning rates were high. Although scores initially dropped on progressing to more complex dual-task motor-skills, performance recovered quickly to the level expected with single-task performance. This that dual-task training methods with NeuroTracker can efficiently consolidate new skills into using a progressive overload methodology. Post-training assessments revealed a statistically significant gains in most visual abilities, including static visual acuity, stereopsis, spatial contrast sensitivity, saccadic ocular movements, and visual selective attention. Transfer to related sports performance abilities was seen with both coach and athlete questionnaire assessments, with consistently significant improvements throughout the program. Although the athletes tended to rate their performance higher than coaches, their improvement ratings were close to identical.