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To examine the effects of NeuroTracker training on standardised measures of attention, working memory, and visual information processing speed using standardized neuropsychological tests. Additionally to measure changes in brain state using functional brain imaging.

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20 university-aged students were recruited and divided into an NT training group (30 sessions of NeuroTracker) and a non-active control group. Cognitive functions were assessed using standardized neuropsychological tests (IVA+Plus, WAIS-III, D-KEFS), and correlates of brain functions were assessed using quantitative electroencephalography (qEEG).

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The trained group showed strong and consistent improvements in NeuroTracker speed thresholds throughout the training period. The NT group demonstrated significantly higher scores on the IVA+Plus Auditory, WAIS Symbol Search, WAIS Code, WAIS Block Design, WAIS Letter-Number Sequence, d2 Test of Attention, and D-KEFS Color Naming, Inhibition and Inhibition/Switching subtests (P < .01). For qEEG measures the NT group demonstrated significant relative power increases in a range of frequencies within the beta bandwidth, with both eyes open and closed resting states. These changes were observed across frontal regions of the brain (executive function) and represented increases in brain wave speed associated with heightened brain activity and neuroplasticity. Overall results indicated that NeuroTracker training can enhance attention, information processing speed, and working memory, and also lead to positive changes in neuroelectric brain function.

To examine the role of working memory and visual attention for tracking expertise in different sports.

Two experiments were performed. In the experiment 1 (assessment-only), 31 male and female experienced athletes were divided into high-tracking and low-tracking sports, e.g. soccer vs swimming. They completed 3 assessment blocks (9 trials each) of the Jardine and Seiffert 2D MOT task, using 2, 3 and 4 targets at slow, medium and fast fixed speeds. Eye tracking behavior was recorded during the task. In experiment 2, 36 participants (similar to experiment 1) were divided into a control and active group. Pre and post training, both groups completed the same 2D MOT assessment with eye tracking, as well as 2 types of n-back working memory assessments (combined visual and auditory demands). The active group completed a training intervention of 4 NeuroTracker sessions (20 trials each), using adaptive speed adjustments, whereas the controls did not.

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In Experiment 1, analysis of eye tracking data revealed that directing gaze towards the center of the screen was a beneficial strategy for achieving higher tracking performance. High tracking sports showed superior tracking performance overall. In experiment 2, the active group experienced a large improvement in both NeuroTracker scores and working memory performance post-training, including a 35% increase WM accuracy. Training also transferred to significantly improved performance on the 2D MOT assessment. Controls showed no significant changes in pre-post assessments.

To investigate playing sports influences cognitive capacities measured by NeuroTracker, as well as to see if such effects differs between young males and females.

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72 individuals aged 16 to 22 were split into 4 groups: male athletes, female athletes, male non-athletes and female non-athletes. All groups performed 15 sessions of NeuroTracker (approximately 90-mins) over 5 weeks.

All groups showed significant improvements across the NeuroTracker training. Initially, male athletes demonstrated higher performance compared to their female counterparts and non-athletes. The female athletes also maintained consistently higher scores than male non-athletes, as did male athletes over other groups. Overall, a clear cognitive advantage was associated with engaging in sports.

The objective of the study was to examine MOT capability at different levels of cognitive load (tracking 1,2,3, or 4 objects) and its association to higher level processes, particularly fluid reasoning intelligence.

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70 adult participants (mean= 23 years of age) completed NeuroTracker and were then assessed on the Weschler Abbreviated Scale of Intelligence 2 test. Participants were asked to track one, two, three and four targets out of a total of 8 spheres for eight seconds.

The results showed that as the number of targets increased, the average speed the participants successfully tracked all the objects decreased. This finding allowed the researchers to confirm that average speed score can be used as a suitable metric for MOT and in turn, attention resource capacity. As a result, the outcomes indicate that visual tracking capability is positively associated with fluid reasoning intelligence. Consequently, this finding demonstrates that there is a link between fluid reasoning intelligence and MOT capability, especially in conditions of high load (tracking 4 out of 8 targets).

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 assess the inhibitory effects of physiological fatigue on cognitive function in elite athletes, and to determine if perceptual-cognitive conditioning can reduce any such effects.

22 rugby players from the Top 14 French Professional Rugby League were divided into two groups. The trained group underwent 15 NeuroTracker Core training sessions, and the untrained group did only 3 Core sessions (sitting) to determine an initial baseline measure. All the athletes were then assessed on NeuroTracker while performing on an exercise bike at 80% of their maximum heartrate.

For the trained group, NeuroTracker speed thresholds remained within 0.03% of the range of their baseline (performed sitting). For the untrained group, NeuroTracker speed thresholds dropped by 30% from their predicted baseline. Firstly, the findings suggest that physical fatigue can significantly reduce high-level cognitive functions elicited by the NeuroTracker task, even with seasoned professionals. Secondly, the results also indicate that such effects can be mitigated with prior perceptual-cognitive conditioning, with as little as 90 minutes of distributed training.

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 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.

To evaluate perceptual cognitive abilities among male and female adolescents and determine if undiscovered gender differences in athletes’ perceptual cognitive abilities exist.

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40 nonathletes (20 boys and 20 girls) and 40 athletes (21 boys and 19 girls) aged 17-24 years old completed a short questionnaire about their sports practice. All participants then completed three NeuroTracker sessions.

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The findings confirm the superior perceptual cognitive abilities in young athletes relative to nonathletes. However, results also indicate differences in performance patterns between male and female athletes, with male athletes achieving the highest tracking speeds but female athletes showing faster adaptation to the task by the 3rd session. These results demonstrate that sports engagement and perceptual cognitive abilities are strongly related during adolescence and that this relationship seems more prevalent in athletes for this age group.