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Not yet recruitingNCT07477028NeuroCogPresvUpdated Mar 17, 2026

Non-Invasive Detection and Preservation of Neurocognitive Signals in the Peri-Death Period Using Brain-Computer Interface and Artificial Intelligence

An observational study in Terminal Illness, End-of-Life Care and Death, sponsored by Noah Tech, Corp.. Not yet recruiting. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-03-17.

Primary conditionBrain DeathRegistry: DeathReclassifiedWhy we changed it
Registry
Death — the first condition term the registry derived for this study.
ClinicalTrials.gg
Brain Death
Why
  1. The study's listed conditions name Brain Death, a narrower term within Death.
Confidence
High: the new condition is named in the study's own listed conditions. Of 351 hand-checked studies reclassified this way, 68% were exactly right and 84% in the right disease family; the registry's first term was right for 5% (measured 2026-10-21). How we classify →
Wrong?
Tell us the study's main condition →

Sponsored by Noah Tech, Corp. · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
20
Ages
18 Years and older
Sex
All
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Study summary

Background: Recent electroencephalography (EEG) data indicate that the transition from clinical death to cellular death is marked by highly organized neurophysiological events, including significant surges in gamma-band power, cross-frequency coupling, and distinct spreading depolarization waves. This prospective, observational feasibility study utilizes rapid-deployment, high-density, noninvasive BCI hardware paired with proprietary AI analytics to detect, classify, and securely archive these terminal neurocognitive signals.

Objectives: (1) Quantify transient gamma-band activity and cross-frequency connectivity post-clinical death; (2) Validate the efficacy of machine learning models for real-time signal classification in high-noise clinical environments; (3) Establish a highly secure, encrypted bio-informational archive of peri-life EEG data.

Design: Prospective, open-label, multicenter, observational cohort (n>20).

Read the detailed description

This prospective observational feasibility study will use non-invasive high-density EEG combined with a wireless brain-computer interface (BCI) and artificial intelligence analytics to detect, characterize, and archive neurocognitive signals in adult patients during the peri-death period. The study includes individuals with terminal illness or severe acute trauma who have a do-not-resuscitate (DNR/DNI) order. Building on recent human findings of gamma oscillation surges and cross-frequency coupling (Vicente et al., 2022; Xu et al., 2023), the study aims to quantify these signals, test AI-driven real-time classification, and explore technical feasibility for future signal preservation and continuity research. No therapeutic intervention is performed. All monitoring is conducted with surrogate consent under strict ethical oversight.

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Conditions studied

  • Terminal Illness
  • End-of-Life Care
  • Death
  • Brain Death
  • Death Anxiety
  • Consciousness
  • Electroencephalography
  • Gamma Oscillations
  • Near-Death Phenomena
  • Cognitive
  • Cognition
  • Memory
  • EEG
  • Severe Acute Trauma

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Keywords

  • AI
  • BCI
  • Brain Computer Interface
  • Death
  • Gamma Oscillations
  • Cognition
  • Consciousness
  • Pefi-death
  • Brain death
  • Reservation
  • Memory
  • Life
  • Life experience
  • Transfer
  • Convergence
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In context

Brain Death Reclassified

74 studies on the registry are indexed under Brain Death; 10 are open to participants now.

This study's planned enrollment of 20 is below the median of 80 across 33 observational studies indexed under Brain Death.

Browse Brain Death studies →

Lead sponsor

Noah Tech, Corp. is the lead sponsor of 2 studies on the registry; 2 are open to participants now.

Compared within Brain Death, this study's primary condition as ClinicalTrials.gg classifies it; the registry's first condition term is Death. The counts are of registry records indexed under each term, refreshed daily. How we classify →

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Adults (≥18 years) with terminal illness or severe acute trauma who have a do-not-resuscitate (DNR/DNI) order and for whom a legally authorized surrogate has provided informed consent. Participants are recruited from hospice, palliative care units, and intensive care units at three U.S. academic medical centers. The study focuses on individuals with physician-estimated survival of 7 days or less. All participants receive continuous non-invasive EEG/BCI monitoring during the peri-death period.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  1. Adults ≥18 years with terminal illness or severe acute trauma
  2. Do-not-resuscitate (DNR/DNI) order in place
  3. Surrogate decision-maker available and willing to provide
  4. Expected survival ≤7 days (physician estimate)

Exclusion criteria

Exclusion Criteria:

  1. Brain death already declared > 24 hours prior to enrollment
  2. to EEG/BCI headset placement (e.g., severe scalp injury)
  3. Patient lacks a legally authorized representative
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

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Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
20 participants (estimated)
Patient registry
No

Groups and cohorts

  • Peri-Death Cohort

    Adults (≥18 years) with terminal illness or severe acute trauma who have a do-not-resuscitate (DNR/DNI) order and for whom surrogate informed consent has been obtained. Participants undergo continuous non-invasive high-density EEG monitoring using a wireless brain-computer interface (BCI) headset. Monitoring begins prior to expected clinical death and continues for up to 6 hours after cardiac arrest. This single prospective cohort is followed to characterize neurocognitive signals during the transition from clinical death through brain death to cellular death. No study intervention is administered.

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What researchers measure

Primary outcomes

  1. Detection of Neurocognitive Signals After Clinical Death Prior to Brain Death

    Presence or absence of organized neurocognitive signals and measurable brain activity, as recorded by non-invasive high-density electroencephalography (EEG), in the human brain during the period immediately following clinical death (cessation of circulation) but prior to declaration of brain death. The primary outcome will be reported as the proportion of participants with detectable organized neural activity (yes/no) meeting predefined signal thresholds.

    Time frame: 0-120 minutes after clinical death

Secondary outcomes

  1. Successful Capture and Preservation of Neurocognitive Signals

    Proportion of participants for whom real-time neurocognitive signals were successfully captured, recorded in high quality, and securely preserved for long-term storage using non-invasive high-density EEG and wireless brain-computer interface (BCI) technology. Reported as the number and percentage of participants with complete, artifact-free recordings suitable for analysis.

    Time frame: Up to 24 hours after clinical death

  2. Spectral Power of Neurocognitive Signals

    Quantitative analysis of spectral power of captured neurocognitive signals, measured in microvolts squared per hertz (µV²/Hz), across standard EEG frequency bands (delta, theta, alpha, beta, gamma).

    Time frame: Up to 24 hours after clinical death

  3. Functional Connectivity Patterns

    Quantitative analysis of functional connectivity patterns among brain regions, measured using coherence and phase-locking value (PLV) indices, reported on a scale from 0 (no connectivity) to 1 (perfect connectivity).

    Time frame: Up to 24 hours after clinical death

  4. Cross-Frequency Coupling

    Quantitative analysis of cross-frequency coupling between EEG frequency bands, measured using the modulation index (MI), reported as a unitless value ranging from 0 (no coupling) to 1 (maximum coupling).

    Time frame: Up to 24 hours after clinical death

  5. Temporal Dynamics of Neurocognitive Signals

    Quantitative analysis of the temporal dynamics of neurocognitive signals, including signal duration and onset latency, measured in seconds (s) from the time of clinical death.

    Time frame: Up to 24 hours after clinical death

  6. Informational Content of Neurocognitive Signals

    Qualitative and quantitative analysis of the potential informational content of captured neurocognitive signals, measured using permutation entropy, reported as a unitless value on a scale from 0 (completely regular/predictable) to 1 (completely random).

    Time frame: Up to 24 hours after clinical death

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Study locations

No study locations are listed for this record.

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References and documents

Publications

  • Zinn S, Dragovic SZ, Kloka JA, Willems LM, Harder S, Kratzer S, Zacharowski KD, Schneider G, Garcia PS, Kreuzer M. Parametrization of the dying brain: A case report from ICU bed-side EEG monitoring. Neuroimage. 2025 Jan;305:120980. doi: 10.1016/j.neuroimage.2024.120980. Epub 2024 Dec 17. PubMed 39701335 ↗
  • Blundon EG, Gallagher RE, Ward LM. Electrophysiological evidence of preserved hearing at the end of life. Sci Rep. 2020 Jun 25;10(1):10336. doi: 10.1038/s41598-020-67234-9. PubMed 32587364 ↗
  • Xu G, Mihaylova T, Li D, Tian F, Farrehi PM, Parent JM, Mashour GA, Wang MM, Borjigin J. Surge of neurophysiological coupling and connectivity of gamma oscillations in the dying human brain. Proc Natl Acad Sci U S A. 2023 May 9;120(19):e2216268120. doi: 10.1073/pnas.2216268120. Epub 2023 May 1. PubMed 37126719 ↗
  • Vicente R, Rizzuto M, Sarica C, Yamamoto K, Sadr M, Khajuria T, Fatehi M, Moien-Afshari F, Haw CS, Llinas RR, Lozano AM, Neimat JS, Zemmar A. Enhanced Interplay of Neuronal Coherence and Coupling in the Dying Human Brain. Front Aging Neurosci. 2022 Feb 22;14:813531. doi: 10.3389/fnagi.2022.813531. eCollection 2022. PubMed 35273490 ↗

Individual participant data

Plan to share: Yes — De-identified raw EEG data, AI-processed neurocognitive signal files, and limited demographic information will be made available to qualified researchers upon reasonable request. Data will be shared via a secure, public repository (e.g., Zenodo or NIH-compliant platform) to support future research on consciousness and neurocognitive activity in the peri-death period.

Supporting information: Study protocol, Statistical analysis plan, Informed consent form

Time frame: Data will become available beginning 12 months after the primary completion date and will remain available for a period of 5 years.

Access criteria: Qualified scientific researchers with an IRB-approved research proposal and relevant scientific background. All requests will be reviewed and approved by the study sponsor (NoahTech Corp.) and the responsible IRB. Access will be granted through a secure data-sharing platform after execution of a data use agreement.

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Mar 17, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07477028
Lead sponsor
Noah Tech, Corp.
Collaborators
Columbia University, Massachusetts Institute of Technology, Stanford University, City of Hope Medical Center
Responsible party
Sponsor
First posted
Mar 17, 2026
Start date
Sep 1, 2026 (estimated)
Primary completion
Sep 30, 2030 (estimated)
Completion
Sep 30, 2035 (estimated)
Last update
Mar 17, 2026

Study contacts

Dr. Wallace Lynch, Ph.D.
Contact
info@noahtech.life
6504895808

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Mar 2026. You cannot join it, but the record below documents what was studied.

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