The science behind the work
Neuroscience is a lens, not a shortcut to certainty.
Brains On Point draws on research across neuroscience, cognition, stress and recovery, neurofeedback, leadership and neuroethics.
We use research to inform how we assess, interpret and support people—but we also pay attention to the limits of the evidence.
How we read scientific evidence
Evidence is not all-or-nothing.
We consider:
the quality of the research;
the population studied;
the methods used;
the strength and consistency of findings;
whether findings apply to the context in which we work;
and the limitations of the evidence.
We distinguish between what is established, what is promising and what remains uncertain.
REFERENCE LIBRARY
Brain, Cognition & Performance
What the research tells us
Cognition is not a single capacity. Attention, working memory, cognitive control and flexibility depend on interacting neural systems and are shaped by task demands and context. Research also increasingly uses physiological and EEG measures to investigate cognitive workload and performance, although no single measure provides a complete or universally valid picture.
What it doesn't tell us
A particular EEG pattern cannot be translated directly into a simple statement such as “this person has poor executive function” or “this is how well this leader will perform.” Even constructs such as cognitive flexibility have inconsistent definitions and measurement approaches.
How this informs our work
We treat brain-based information as one source of information about functioning, interpreted alongside behavioural, physiological and contextual information rather than as a standalone measure of performance.
References
1. Nyberg, L. (2018).Cognitive control in the prefrontal cortex: A central or distributed executive? Scandinavian Journal of Psychology, 59(1), 62–65.
2. Hohl, K., & Dolcos, S. (2024).Measuring cognitive flexibility: A brief review of neuropsychological, self-report, and neuroscientific approaches. Frontiers in Human Neuroscience, 18, 1331960.
3. Tao, D. et al. (2019).A systematic review of physiological measures of mental workload. International Journal of Environmental Research and Public Health, 16(15), 2716.
4. Charles, R. L., & Nixon, J. (2019).Measuring mental workload using physiological measures: A systematic review.Applied Ergonomics, 74, 221–231.
5. Dajani, D. R., & Uddin, L. Q. (2015).Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience. Trends in Neurosciences, 38(9), 571–578.
Stress & Recovery
What the research tells us
Stress can alter cognitive processes relevant to decision-making, working memory and cognitive control. But the effects are not uniform: timing, type of stressor, individual differences and the cognitive process being tested all matter. Recovery is also not simply the absence of stress; work demands and opportunities for detachment and recovery shape functioning over time.
What it doesn't tell us
It does not support a simple equation of stress = poor performance. Some stress effects are task- and time-dependent, and some commonly repeated claims about stress and cognition are considerably more nuanced than popular neuroscience suggests.
How this informs our work
We look at patterns and conditions of functioning, rather than treating stress as a single variable or assuming that everyone responds to demanding conditions in the same way.
References
6. van Herk, L. et al. (2024). Heightened SAM- and HPA-axis activity during acute stress impairs decision-making: A systematic review on underlying neuropharmacological mechanisms. Neurobiology of Stress, 31, 100659.
7. Starcke, K., & Brand, M. (2012). Decision making under stress: A selective review. Neuroscience & Biobehavioral Reviews, 36(4), 1228–1248.
8. Sandi, C. (2013). Stress and cognition. Wiley Interdisciplinary Reviews: Cognitive Science, 4(3), 245–261.
9. Geißler, C. F. et al. (2023). Time-dependent effects of acute stress on working memory performance: A systematic review and hypothesis. Psychoneuroendocrinology, 148, 105998.
10. Wendsche, J., & Lohmann-Haislah, A. (2017). A meta-analysis on antecedents and outcomes of detachment from work. Frontiers in Psychology, 7, 2072.
11. Albulescu, P. et al. (2022). “Give me a break!” A systematic review and meta-analysis on the efficacy of micro-breaks for increasing well-being and performance. PLOS ONE, 17(8), e0272460.
Neurofeedback & Neuroplasticity
What the research tells us
EEG neurofeedback can produce changes in targeted neural activity, and some systematic reviews find promising effects on executive functions, memory or attention. However, results vary substantially by protocol, target, population, outcome and control condition. Methodological quality and sham-controlled evidence remain important issues.
What it doesn't tell us
It does not establish one universal neurofeedback protocol or guarantee a particular cognitive or performance outcome for an individual. In some meta-analyses, apparent overall effects become much weaker when compared with sham feedback.
How this informs our work
We use neurofeedback as a targeted, individualized tool, informed by assessment and context rather than as a generic brain-optimization programme. We also treat protocol selection and interpretation as matters requiring professional judgement.
References
12. Viviani, G., & Vallesi, A. (2021).EEG-neurofeedback and executive function enhancement in healthy adults: A systematic review. Psychophysiology, 58(9), e13874.
13. Pfeiffer, M. et al. (2024).Modulation of human frontal midline theta by neurofeedback: A systematic review and quantitative meta-analysis. Neuroscience & Biobehavioral Reviews.
14. Kimura, I. et al. (2024).Efficacy of neurofeedback training for improving attentional performance in healthy adults: A systematic review and meta-analysis. Imaging Neuroscience.
15. Hassling, J. et al. (2022).How standardized are “standard protocols”? Variations in protocol and performance evaluation for slow cortical potential neurofeedback: A systematic review.
16. Ros, T. et al. (2020).Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist). Brain, 143(6), 1674–1685.
17. Matsuzaki et al. (2023).The Effect of Cognitive Training with Neurofeedback on Cognitive Function in Healthy Adults: A Systematic Review and Meta-Analysis. Healthcare, 11(6), 843.
Neuroscience & Leadership
What the research tells us
There is a growing interdisciplinary literature connecting neuroscience with managerial decision-making, leadership development and leadership behaviour. At the same time, organizational scholars increasingly question what happens when technologies and bodily/physiological information enter organizational life.
What it doesn't tell us
Neuroscience does not provide a biological definition of a “good leader.” Nor can neural measures explain leadership independently of organizational context, identity, relationships, culture and power.
How this informs our work
Brains On Point treats neuroscience as one layer of leadership understanding. This is also the bridge into your research: what happens when managers encounter neurotechnological information and have to make sense of it within existing professional identities and organizational expectations?
References
18. Cristofaro, M. et al. (2022). Affect and Cognition in Managerial Decision Making: A Systematic Literature Review of Neuroscience Evidence. Frontiers in Psychology, 13, 762993.
19. Edelson, M. G. et al. (2018). Computational and neurobiological foundations of leadership decisions. Science, 361(6401), eaat0036.
20. Waldman, D. A., Balthazard, P. A., & Peterson, S. J. (2017). Leadership and neuroscience: Can we revolutionize the way that inspirational leaders are identified and developed? Academy of Management Perspectives, 25(1), 60–74.
Neuroethics & Responsible Neurotechnology
What the research tells us
Neurotechnology creates opportunities but also raises distinctive questions about privacy, autonomy, dignity, agency, identity, consent and the use of brain-related information. These issues become particularly important when neurotechnology enters employment and organizational settings.
What it doesn't tell us
Ethical use cannot be reduced to “protecting brain data.” Neurotechnology can intersect with non-neural physiological and behavioural information, and the ethical question depends on what can be inferred, who controls the information, and how it is used.
How this informs our work
We use the ethical principles of privacy, autonomy, informed consent, transparency, data minimisation and responsible use as part of how we design our work with individuals and organizations. The 2025 UNESCO Recommendation is particularly relevant because its employment provisions explicitly address workplace neurotechnology, access to data and interpretations, consent, profiling and employer use.
References
21. UNESCO (2025). Recommendation on the Ethics of Neurotechnology.
22. OECD (2019). Recommendation on Responsible Innovation in Neurotechnology / Responsible Innovation in Neurotechnology Enterprises.
23. Ienca, M., & Andorno, R. (2017). Towards new human rights in the age of neuroscience and neurotechnology. Life Sciences, Society and Policy, 13, 5.
24. Yuste, R. et al. (2017). Four ethical priorities for neurotechnologies and AI. Nature, 551, 159–163.
24. Rommelfanger, K. S. et al. (2018). Neuroethics Questions to Guide Ethical Research in the International Brain Initiatives. Neuron, 100(1), 19–36.
Research is a moving field.
The references on this page represent literature that informs our current approach; they do not imply that every method or finding is equally established.
We periodically review the evidence and update our approach as research develops.