The Science Behind Our Technology

Neurosom’s technology is built on the premise that advancing brain health requires a deeper understanding of what happens in the brain during sleep. By combining high-density EEG, AI, individualized brain modeling, and noninvasive neuromodulation, we can characterize sleep physiology with greater precision and explore its connection to cerebrospinal fluid dynamics and the brain’s natural waste-clearance processes.

From Measuring Sleep to Understanding Brain Health

This integrated approach is designed to measure, predict, and ultimately improve brain health.

Built on a track record of successful neurotechnology ventures, Neurosom brings together a team with deep scientific expertise and more than 400 peer-reviewed publications in neuroscience. This foundation of research and innovation drives the development of the Sleep WISP, a next-generation wearable designed to advance personalized sleep therapy.

Beyond Sleep: Measuring the Biology of Brain Health

Neurosom is expanding beyond sleep monitoring to develop proprietary technologies for understanding the underlying biology of brain health. Three new patents awarded in 2026 advance our ability to investigate cerebrospinal fluid (CSF) movement and the brain’s natural waste-clearance processes, opening a new dimension in personalized brain-health assessment.

US Patent:

Glymphatic Clearance Capacity Monitoring and Enhancement.

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US Patent:

Method for Bayesian Super-Resolution of Electroencephalographic Source Analysis and Transcranial Electrical Stimulation.

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US Patent:

MRI-Registered Cortico-Hydraulic Digital Twin for Bayesian Super-Resolution Estimation of CSF Flow, Extracellular-Space Dynamics, Neural Source Patterns, and Functional Neuromodulation Targets Using hdEEG and FAST-EIT.

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Unlike wearable technologies designed to measure a single aspect of sleep, Neurosom is building an integrated platform designed to understand—and ultimately influence—the biology underlying brain health.

Recent Publications

This study challenges the conventional view that the large slow oscillations of deep N3 sleep are widespread waves traveling across the neocortex.
Using 256-channel high-density EEG combined with individual MRI-based head models, researchers mapped the sources of these slow oscillations in 10 healthy adults. The results highlight the important role of limbic networks in the neurophysiology of deep sleep and potentially in memory consolidation.

This study tested whether transcranial electrical stimulation (TES) targeting anterior limbic brain regions could enhance deep N3 sleep.
Thirteen healthy adults underwent overnight EEG recordings with either low-level 0.5 mA TES or sham stimulation. The stimulation was designed to target limbic regions previously identified as important sources of N3 slow oscillations. The findings demonstrate that precisely targeted, low-level electrical stimulation can modulate slow-wave activity and increase deep sleep.

This study investigated whether transcranial electrical stimulation (tES) synchronized with deep N3 sleep can influence brain physiology associated with waste clearance. Researchers measured brain electrical impedance during sleep and found that it decreased relative to wakefulness, with the largest reduction during REM sleep.
The findings provide preliminary evidence linking enhanced slow-wave activity with physiological processes involved in brain waste clearance.

Other Publications

Posters

Performance of Optimal Transcranial Electrical Stimulation Limiting the Number of Active Electrodes - Mariano Fernandez-Corazza, Santiago Collavini, Phan Luu, Carlos Muravchik, and Don M. Tucker

Patents

  • US Patent No. 10, 610,121: Method for Desynchronizing Pathological Neural Oscillations.

  • US Patent No. 11,045,131: Truncated Icosahedral Neural Sensor Net and Modular Elements.

  • US Patent No. 19,673,710: MRI-Registered Cortico-Hydraulic Digital Twin for Bayesian Super-Resolution Estimation of CSF Flow, Extracellular-Space Dynamics, Neural Source Patterns, and Functional Neuromodulation Targets Using hdEEG and FAST-EIT.

  • US Patent No. 12,663,866: Method for Bayesian Super-Resolution of Electroencephalographic Source Analysis and Transcranial Electrical Stimulation.