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

The goal of this multi-year research project was to develop methods for assessing the efficacy of training (including live and simulated platforms) by validating measures of cognitive workload that characterize skill acquisition.

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10 evaluation pilots (100-300 flight hours of experience) were selected to perform low, medium and high difficulty flight manoeuvres in both a jet flight simulator and live jet flight (Aero Vodochody L-29 jet trainer) using experimental conditions. During flight ECG data (NeXus-4) and eye-tracking data (Dikablis) was collected. Flight performance was analysed for altitude, roll, and vertical speed errors, and cognitive workload was subjectively assessed (10-point Bedford Workload Scale). As a validated tool for evaluating perceptual-cognitive skills, NeuroTracker was selected as to measure spare cognitive capacity via extraneous load (Cognitive Load Theory). All pilots first completed home-based NeuroTracker consolidation training (15 Core sessions). NeuroTracker was integrated into the flight testbed. Low, medium and high difficulty flight manoeuvre tests were performed by all pilots, both without NeuroTracker, and while simultaneously performing NeuroTracker Core sessions.

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Compared to performing NeuroTracker alone, live and simulated flight across all manoeuvres, caused a drastic decrease in NeuroTracker speed thresholds (average of ~97%). This, perhaps for the first time, objectively demonstrated that jet flight involves very high intrinsic cognitive loads. Live flight resulted in lower NeuroTracker speed thresholds and physiological performance than simulated flight, with greater differences for higher difficulty maneuverers. This evidence suggests that physiological and cognitive loads are significantly heavier in live flight, supporting the theory that that brain dynamics differ in real-world environments compared to those of a laboratory.

To to determine if NeuroTracker training could affect off-the-block reaction times, by improving selection attention in university athlete swimmers.

15 male and female varsity swimmers were divided into active and control groups. The active group completed a training intervention of 10 NeuroTracker sessions, controls did no training. Pre and post training the participants were assessed 3 times on for off-the-block reaction times using the Ares Omega Timing System.

The control group showed a moderate improvement in reaction time, however the NeuroTracker trained group showed large improvement in reaction time (-11%). This pilot study indicates that selective attention may be a critical factor in reaction time performance, and that a short intervention of NeuroTracker training can significantly improve reaction times.

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To assess the extent to which action video game players perform better than non-gamers on cognitive functions measured by NeuroTracker and neuropsychological assessments.

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14 professional and 16 amateur action video game players completed a battery of 7 standardized neuropsychological assessments, a manual dexterity test, and 14 NeuroTracker sessions. Statistical analysis techniques were used to compare cognitive differences.

Analysis revealed that high performance in professional action video games players is associated with enhanced abilities in visual spatial attention, visual and auditory short-term memory, and selective and sustained attention. No significant differences between professionals and amateurs were evident on tasks evaluating executive functions, perceptual manipulation, or manual dexterity. Although both groups displayed a similar learning capacity to improve at NeuroTracker over 90-mins of training, professionals exhibited a distinct performance advantage throughout the intervention. The results overall suggest that elite action video gamers have superior attentional control.

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 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.

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 investigate how perceptual–cognitive performance is affected during high-intensity interval training (HIIT) using NeuroTracker(NT) assessments.

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42 healthy adults were randomly assigned to an intervention (HIIT + NT, NT, HIIT) or control group. NT performance was measured pre-and post-test at 5, 15, and 25 min while running on a treadmill. The participants trained twice a week for a 4-week intervention period.

There was a significant interaction effect between pre/post-test and groups regarding perceptual-cognitive performance, indicating similar enhancements in the HIIT + NT and the NT group during exercise. HIIT influences physical fitness but did not show any impact on perceptual–cognitive performance. Overall training resulted in substantial task-specific gains. The researchers suggest combination training may be proposed as a training program to improve perceptual–cognitive, and physical performance in a time-efficient way.

To investigate how multiple object tracking abilities (NeuroTracker) may enhance strategies for maintaining spatial awareness and optimal player performance in soccer. Additionally, to examine the relationship between aerobic capacity and multiple object tracking capacity.

7 competitive female soccer players completed a 90-minute intermittent soccer performance test (iSPT) on a Curve™ non-motorized treadmill (cNMT) with monitoring of VO2max. This involved six individualized running, jogging or walking speeds, and a half-time period, to simulate demands in soccer competition. NeuroTracker baselines were completed three times during each half of the iSPT.

The fatigue associated with 90 minutes of soccer specific running negatively influenced running performance during the second half. However, increased aerobic capacity appears to be associated with an attenuation of cognitive decline during 90-minutes of soccer specific running. Results of this study indicate the importance of aerobic capacity on maintaining spatial awareness during a match.

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.