[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100629619":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":12,"locations":10,"responsibleParty":18,"collaborators":20,"id":30,"slug":31,"hasResults":32,"nctId":33,"briefTitle":34,"officialTitle":35,"acronym":36,"eligibilityCriteria":37,"healthyVolunteers":32,"sex":38,"minAge":39,"maxAge":10,"enrollmentInfo":40,"targetDuration":10,"studyType":43,"phases":10,"briefSummary":44,"conditions":45,"keywords":60,"overallStatus":71,"whyStopped":10,"lastUpdateSubmitDate":72,"lastUpdatePostDateStruct":73,"startDateStruct":76,"completionDateStruct":78,"leadSponsor":80,"locationsCount":10},{"fullName":5,"class":6},"Noah Tech, Corp.","INDUSTRY",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"Peri-Death Cohort",null,"Adults (≥18 years) with terminal illness or severe acute trauma who have a do-not-resuscitate (DNR\u002FDNI) 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.",[13],{"name":14,"role":15,"phone":16,"phoneExt":10,"email":17},"Dr. Wallace Lynch, Ph.D.","CONTACT","6504895808","info@noahtech.life",{"type":19,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR",[21,24,26,28],{"name":22,"class":23},"Columbia University","OTHER",{"name":25,"class":23},"Massachusetts Institute of Technology",{"name":27,"class":23},"Stanford University",{"name":29,"class":23},"City of Hope Medical Center","100629619","non-invasive-detection-and-preservation-of-neurocognitive-signals-in-the-peri-death-period-using-brain-computer-interface-and-artificial-intelligence-100629619",false,"NCT07477028","Non-Invasive Detection and Preservation of Neurocognitive Signals in the Peri-Death Period Using Brain-Computer Interface and Artificial Intelligence","Feasibility of Non-Invasive Detection and Preservation of Neurocognitive Signals in the Peri-Death Period Using Brain-Computer Interface and Artificial Intelligence: A Prospective Observational Study (NeuroCogPresv)","NeuroCogPresv","Inclusion Criteria:\n\n1. Adults ≥18 years with terminal illness or severe acute trauma\n2. Do-not-resuscitate (DNR\u002FDNI) order in place\n3. Surrogate decision-maker available and willing to provide informed consent\n4. Expected survival ≤7 days (physician estimate)\n\nExclusion Criteria:\n\n1. Brain death already declared \\> 24 hours prior to enrollment\n2. Contraindication to EEG\u002FBCI headset placement (e.g., severe scalp injury)\n3. Patient lacks a legally authorized representative","ALL","18 Years",{"count":41,"type":42},20,"ESTIMATED","OBSERVATIONAL","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.\n\nObjectives: (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.\n\nDesign: Prospective, open-label, multicenter, observational cohort (n\\>20).",[46,47,48,49,50,51,52,53,54,55,56,57,58,59],"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",[61,62,63,48,53,56,51,64,65,66,57,67,68,69,70],"AI","BCI","Brain Computer Interface","Pefi-death","Brain death","Reservation","Life","Life experience","Transfer","Convergence","NOT_YET_RECRUITING","2026-03-12",{"date":74,"type":75},"2026-03-17","ACTUAL",{"date":77,"type":42},"2026-09-01",{"date":79,"type":42},"2035-09-30",{"name":5,"class":6}]