February 2021
in
Nature Scientific Reports
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.
Isolated NeuroTracker training with elite professional athletes provides superior baselines and initial learning rates versus dual-task training.
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.
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.
AI modelling of NeuroTracker baselines and demographic data effectively predicts learning rate and training intervention outcomes.
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.
Rigorous feasibility study finding NeuroTracker to have high accessibility and adherence for at-home independent cognitive training.
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.
2.6-hours of NeuroTracker training significantly improves visual abilities and sports vision skills in Olympic tennis, taekwondo, and water polo athletes.
To analyze the effectiveness of NeuroTracker training to improve sports vision and cognitive performance using a progressive single and dual-task training protocol.
37 elite water polo (13), taekwondo (12) and tennis elite athletes (12) completed 26 NeuroTracker sessions progressing from single-task training to progressively complex dual-task training. Pre and post training all athletes underwent a comprehensive battery of optometric vision assessments. Throughout the training program both athletes and their coaches completed frequent visual-analogue questionnaire assessments to assess changes in concentration, perception speed and peripheral vision performance.
Overall NeuroTracker learning rates were high. Although scores initially dropped on progressing to more complex dual-task motor-skills, performance recovered quickly to the level expected with single-task performance. This that dual-task training methods with NeuroTracker can efficiently consolidate new skills into using a progressive overload methodology. Post-training assessments revealed a statistically significant gains in most visual abilities, including static visual acuity, stereopsis, spatial contrast sensitivity, saccadic ocular movements, and visual selective attention. Transfer to related sports performance abilities was seen with both coach and athlete questionnaire assessments, with consistently significant improvements throughout the program. Although the athletes tended to rate their performance higher than coaches, their improvement ratings were close to identical.
Comprehensive pre-post neuropsychological and qEEG neuroimaging assessments reveal robust and wide gains in college students' cognitive abilities.
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.
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).
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.
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