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Advancing Neurocognitive Research - Reputable Health
White Paper

Advancing Neurocognitive Research through Real-World Evidence

A Model Study for Cognitive Enhancing Supplements

Dr. Mackenzie De Jesus, D.H.Sc., M.S. Head of Clinical Research

At Reputable Health, we specialize in the design and execution of high-quality clinical research that integrates digital health tools, wearable device data, molecular biomarkers, and validated neurocognitive, participant-reported assessments to deliver meaningful outcomes and insights. Our research infrastructure supports both real-world evidence (RWE) studies and randomized controlled trials (RCTs), but what distinguishes our model is the innovative way we integrate objective and subjective measures in a decentralized format.

The Challenge & Opportunity

As cognitive health becomes an increasingly important public concern, individuals are seeking evidence-based solutions to address symptoms like brain fog, memory lapses, and mental fatigue. Cognitive-enhancing supplements are among the fastest-growing sectors in consumer health, yet few undergo rigorous clinical testing in realistic settings. Our approach bridges this gap by providing scientifically grounded research that preserves ecological validity and participant accessibility.

"Our approach bridges this gap by providing scientifically grounded research that preserves ecological validity and participant accessibility."

Our Decentralized Model

The model we have developed is structured to accommodate randomized, placebo-controlled, double-blind designs, while leveraging remote data collection platforms and participant-owned devices. For example, in a recent six-month study, we deployed a fully decentralized protocol that enabled seamless tracking of cognitive performance, physiological trends, and self-reported well-being.

Integrated Assessment Framework

Central to this model is a multi-modal data capture strategy that combines real-time neural activity with continuous biometric monitoring.

EEG Headbands

We use Muse EEG headbands to measure brainwave activity, event-related potentials (ERPs), and cerebral blood flow through validated neurocognitive tasks.

Biometric Metrics

High-resolution neural data is combined with real-time biometric metrics such as heart rate variability (HRV) and sleep architecture via wearables.

Validated Surveys

Participants complete instruments like the Brain Health Index (BHI) and PROMIS scales to evaluate perceived cognitive function and mental fatigue.

Molecular & Genetic Biomarkers

For deeper mechanistic insight, we also offer integration of molecular and genetic biomarkers through lab-based analyses. These include DNA methylation profiling for biological aging and neural plasticity, as well as inflammatory markers such as CRP and IL-6.

"The ability to link changes in brain function with molecular and epigenetic and biomarker changes represents a next-generation approach to supplement evaluation."

Commercial & Clinical Impact

This multi-layered assessment model supports stratified analyses by demographic and biological variables, enabling future application of personalized cognitive health interventions. Importantly, because our studies are designed to reflect natural usage environments, they produce insights that are both clinically meaningful and commercially actionable.

The data generated through this model are positioned for peer-reviewed publication, regulatory discussions, and product validation. For brands looking to make science-backed claims, this research approach delivers unmatched flexibility and credibility.

Conclusion

As the market demands more transparency and scientific substantiation around brain health and cognitive solutions, Reputable Health is leading the way in developing decentralized, data-rich models for cognitive research. Our integrated framework creates a powerful and scalable strategy to evaluate cognitive-enhancing supplements in real-world populations.

Ready to validate your cognitive solution?

For inquiries or customized neurocognitive research design, please contact our clinical research team.

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