Enhancing Cognitive Function Using Perceptual-Cognitive Training

To examine the practical efficacy of cognitive enhancement interventions through a gold-standard template for assessing use of such tools, and to assess NeuroTracker evidence against the template for enhancing attention, working memory and visual information processing speed.

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To assess cognitive tools and NeuroTracker specifically against the following gold-standard criteria and with qEEG findings on changes in neuroelectric brain activity: 1. Robust transfer effects, 2. No Side Effects or Risk of Toxicity, 3. Minimal time and monetary investment, 4) Lasting effects, 5) No ethical issues, 6) Can be used in combination with other interventions, 7) Can be applied to any population.

3-hours of training over 5-weeks with NeuroTracker demonstrated robust effects on attention, working memory, and visual information processing speed as measured by neuropsychological tests. Corresponding changes measured by qEEG were also corroborated these intervention effects. NeuroTracker was concluded to meet the gold standard criteria in points 1, 2, 3, and 5, with some evidence to support the other points, but further research needed.

To investigate if NeuroTracker training can improve perceptual-cognitive skills related to decision-making skills for law enforcement officers.

40 elite law enforcement officers completed a pre-post test experiment on a video based simulated task environment to establish baseline scores for situational awareness, anticipation and decision-making skills. Participants were randomly assigned to training, control and passive groups. The training group completed NeuroTracker sessions around duty schedules over a period of three-weeks. Pre- and post-testing was scored by five police procedures subject-matter-experts.

The simulated task results showed an average decline in scores, the control participants remained unchanged, while the NeuroTracker group showed moderate increases. Improvements in NeuroTracker scores were observed overall, but varied atypically. Although some far transfer effects to law enforcement decision-making abilities were seen, fatigue and stress-related effects of active duty may have influenced results.

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).

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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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 investigate if real-time Neurofeedback can enhance learning rates for NeuroTracker training.

40 healthy adults were assigned to four training groups (ten each), performing either:-

• Standard NeuroTracker training

• No training (control group)

• NeuroTracker with EEG-Neurofeedback

• NeuroTracker with sham Neurofeedback

EEG-Neurofeedback involved closed-loop feedback that automatically detects when a participant has lost track of their targets and immediately reindexes them.

The standard NeuroTracker group, control group and EEG-Neurofeedback groups started a similar level, higher than the sham Neurofeedback group. However the EEG-Neurofeedback showed superior learning rates over all other groups over the course of 10 training sessions. The results show that a closed-loop learning paradigm is highly effective at enhancing learning outcomes on the NeuroTracker task.

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