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

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.

‍

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

‍

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 determine timeframes required for baseline updates for NeuroTracker and ImPACT, based on long-term retest reliability.

At the start of two consecutive seasons, 30 athletes with no recent history of mTBI completed baseline assessments of NeuroTracker and ImPACT. The test–retest reliability of the results was assessed via three different statistical analyses.

‍

The Visual Motor Speed composite score of the ImPACT was the only component of the assessment with outcomes with acceptable retest reliability. NeuroTracker baselines also met these standards. The researchers concluded that NeuroTracker has an acceptable level of test–retest reliability after one year in comparison to ImPACT.

‍

Working Memory (WM) capacity has been linked to performance on a wide range of elementary and higher order cognitive tasks. Due to evidence suggesting that NeuroTracker speed thresholds are an indicator of the quality of high-level brain function, and because it is an adaptive task, the researchers selected NeuroTracker to investigate whether training could improve WM capacities. A further reason was to test a training approach with short intervention times for practical military implementations for the Canadian Armed Forces.

41 soldiers in the Canadian Armed Forces volunteered for the study. First they were tested on three WM span tasks: word (verbal) span, matrix span, and visual span, establishing a baseline measure for each test. Participants were then distributed evenly into 3 groups based on demographic and cognitive factors,Experimental group: performed 10 NeuroTracker Core sessions over a 2 week periodActive control group: performed an adaptive dual n-back task over a 2 week period Passive control group: No activity over a 2 week periodAt the end of the two weeks, the three WM span tests were retaken.

For the NeuroTracker group, speeds thresholds increased considerably over the 10 sessions, and training resulted in a significant pre-post increase in word span, matrix span, and visual span, with medium to large effect sizes. In contrast, for the active control, group training did not alter any of the WM span measures. Similarly, WM span measures did not alter for the passive control group. The researchers concluded that a short amount of NeuroTracker training can benefit WM capacity in a military sample. Additionally, the consistent NeuroTracker improvements across each type of WM span reflect a primarily domain-general construct (a generality of WM capacity).

‍

To examine the effects of different rehydration strategies on cognitive performance under the effects of physical fatigue.

‍

12 male endurance-trained runners (av. age: 23. years) were tasked with running on a treadmill at 70% of their predetermined VO2max for 1 h followed by running at 90% of VO2max until exhaustion on four separate days. On each day different hydration modalities were given (no hydration, electrolyte drink, electrolyte drink with a low dose of Sustamine, electrolyte drink with a high dose of Sustamine), drinking 250 mL every 15 min. Before and after each hour run, cognitive function (NeuroTracker) and reaction tests were administered.

Results showed that physical reaction time was faster for the low dose trial than the high dose trial. Analysis of lower body quickness indicates that performance in both the low and high dose trials were likely improved in comparison to the no hydration trial. NeuroTracker results indicated a possible greater performance for dehydration and low dose compared to only the electrolyte drink, while there was a likely greater performance in multiple object tracking for the high dose trial compared to consumption of the electrolyte drink only.

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.

‍

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.

‍

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 investigate if the typically declining perceptual-cognitive abilities of healthy older people can be improved with NeuroTracker training.

20 younger adults (mean age 27 years old) and 20 older adults (mean age 66 years old) completed 3-hours of NeuroTracker training distributed over 3 weeks.

‍

Although older adults had significantly lower NeuroTracker scores than older adults, they demonstrated a strong learning response to the training, equivalent to their younger peers. By the end of the training program the older adults closely matched the initial baseline performance of younger adults. Although the results demonstrate a decline in perceptual-cognitive functions from healthy aging, the results suggest this decline can be quickly reversed with a short training intervention.

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.

‍

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.

3D vision (binocular stereo) develops during childhood and tends to reduce after 65 years of age. This study aimed to investigate whether these effects are significant when processing complex and dynamic motion.

Three groups of 20 subjects were recruited: children (7–12 years old), adults (18–40 years old) and older adults (≥65 years old). Each person completed 4 NeuroTracker sessions, 2 in 2D (no binocular stereo) and 2 in 3D (with binocular stereo).

As typical, adults achieved significantly higher NeuroTracker scores than children or elderly. They also gained a significantly larger advantage when performing NeuroTracker in 3D. In turn, children showed more advantage with 3D than elderly. This suggests that older populations have reduced ability to process complex and dynamic motion using stereoscopic processing. This study reveals that comparison between scores with and without stereoscopic effect, allows direct evaluation of the stereopsis advantage when performing NeuroTracker.