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To investigate if a short NeuroTracker training intervention could improve high-level cognitive abilities in elderly populations.

46 participants, aged 63-87 years old completed pre-and-post neuropsychological assessments for selective attention, psychomotor speed, and cognitive flexibility. Active participants completed 21 NeuroTracker sessions (approx. 2 hours of training) over 7 weeks, between pre-and-posts tests. Controls did no training.

Controls showed no change in pre and post tests. In contrast the active NeuroTracker group experienced significant gains in cognitive flexibility, psychomotor speed, and selective attention, and similar improvements in a combined assessment of psychomotor speed and cognitive flexibility.The researchers concluded that NeuroTracker presents a promising tool for recovering and improving these high-level cognitive abilities in older populations.

To test the theory that driving performance is strongly associated with dynamic processing of multiple objects, by evaluating if NeuroTracker measures correlate with older driving performance in simulated scenarios.

30 experienced drivers with ages ranging from 65-85 years old were tested on one session of NeuroTracker (3D-MOT), and completed up to 3 driving scenarios on the STISIM 3.0 driving simulator. 5 unexpected events were included in the scenarios to test crash risk. The correlations between NeuroTracker speed thresholds and simulator measures (crash rate, lane deviation) were then calculated.

Highly significant correlations were found between NeuroTracker thresholds and both crash rate and lane deviation in the highway driving scenarios. Lower NeuroTracker scores were strongly associated with lane deviation during highway merging, and higher NeuroTracker scores related to participants being less likely to crash across different scenarios, and to have better overall lane maintenance skills. This study adds plausibility to the idea that a multiple object tracking test such as NeuroTracker could be a candidate for inclusion in an assessment battery for older drivers.

To investigate the effects of motor and perceptual dual-task NeuroTracker training over time, and in particular to see if performing prior NeuroTracker consolidation training significantly influences these effects.

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71 participants were assigned either just NeuroTracker training (iMOT), NeuroTracker with a decisionmaking task (Combi), NeuroTracker consolidation training then with a decision-making task (Consol), or an isolated decision-making task (iDM). The decision-making task involved a motor-response reaction to a simulated birdie with a real badminton racket. Performance was measured through NeuroTracker speed threshold, decision accuracy, and reaction time.

Firstly the results demonstrated that the dual-task component significantly affects NeuroTracker speed thresholds. Secondly that this effect is reduced with training over time. Thirdly that this effect is reduced further when consolidation training on just NeuroTracker is completed beforehand. Additionally, decision-making speed, reaction time and accuracy improved with dual-task training. Overall this study provides evidence that NeuroTracker consolidation training is an effective method for accelerating learning rates across multiple performance domains.

To investigate the feasibility of using a remote therapeutic cognitive intervention for brain injury survivors using an at-home training program.

20 older female and male adults were assessed for cognitive health status using a self-report questionnaire and the Mini-Mental State Examination (MMSE) and deemed cognitively healthy. The at-home participants were provided with NeuroTracker training and completed 20 training sessions over 5 weeks. Participant recruitment, retention, adherence, and experience were used as markers of feasibility. Individual session scores, overall improvement, and learning rates between groups was also assessed.

The remote intervention was found to have strong feasibility overall. This was supported by high recruitment and retention, 90% participant adherence, along with ease of use of the program. Differences in screen size and 3D technology showed no differences on cognitive benefits achieved from training, with significant improvements in task performance across the program, which was also equivalent to lab-based training. The researchers concluded that NeuroTracker provides a promising at-home option for cognitive training for cognitively healthy adults and brain injury survivors.

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 evaluate the effectiveness and transfer of an NeuroTracker training on visual and executive functions in youth elite soccer players.

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29 elite youth soccer players were recruited and divided into training and control groups. Visual and executive functions were analyzed in a pre–post test design with both groups doing regular soccer training, and the trained group also completing 10 weeks of NeuroTracker training twice a week. Transfer assessments included tests with the Senaptec Sensory Station, the Trail Making Test, and the Design Fluency test.

Large differences in NeuroTracker initial baselines were found both between the groups, and within the groups. For the trained group, initial baselines were strongly correlated with improvement rates. Assessments show gains for both groups in working memory, cognitive flexibility, inhibition, metacognition, MOT, attention window and processing speed, but only measures inhibition, visual clarity showed advantages specific to the trained group. The researchers recommended studies with a dual-task training intervention and larger number of participants may be needed to reveal training effects for this population.

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.

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To compare the visual tracking performance of professional as well as amateur eSport players and traditional sportsmen using NeuroTracker.

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19 professional players, 22 amateur players and 18 traditional sportsmen completed 3 NeuroTracker sessions. The first session was completed in 2D (non-stereo), and sessions 2 and 3 were completed in 3D (stereo). Experience and playtime data was also collected for analysis.

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Professional players spent significantly more time playing esports than amateurs. Pearson correlations revealed positive associations between hours of esport / week and NeuroTracker scores. Mean session score averages across each session consistently found esport professional to have the highest NeuroTracker performance, following by traditional sportsmen. Analysis of prior NeuroTracker research showed that session scores for all three groups were higher than the scores of the normal population.

This paper covers foundational concepts of NeuroTracker’s relevance to training of cognitive capacities deemed critical in sports performance, particularly in dynamic team-sports. It also contains a study investigating the effects of attentional loads in learning paradigms, with the aim of understanding optimal load conditions for training perceptual-cognitive ability.

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4 elite professional sports teams trained their athletes on NeuroTracker (15-30 sessions) during their competition seasons. An English Premier Team club, a National Hockey League team, and a European Rugby team were all trained in the standard sitting down position to isolate any influence from attentional mechanisms involved in posture control. Another NHL team performed the training in standing position, involving basic balance demands on attention.

Taking the statistical average for learning progression on NeuroTracker, the three professional sports teams training in sitting position showed near identical progression, with rapid early learning slowing down towards longer term but continued learning. The standing sports team showed much lower NeuroTracker scores, but more importantly slower overall learning progression, with a large magnitude of difference to the other teams. The findings clearly demonstrate the link between balance control mechanisms and perceptual-cognitive demands solicited by NeuroTracker training. This demonstrates that cognitive training loads need to be sensitively optimized to attentional thresholds in order to generate effective short and longer term learning adaptations.

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