[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"brain-death\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:brain-death":25},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,42],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":23,"conditions":24,"keywords":27,"overallStatus":30,"whyStopped":4,"lastUpdateSubmitDate":31,"lastUpdatePostDateStruct":32,"startDateStruct":35,"completionDateStruct":37,"leadSponsor":39,"locationsCount":5},"100537603","pupillometric-evaluation-in-patients-declared-brain-dead---a-prospective-quality-control-study-100537603",false,"NCT06279975","Pupillometric Evaluation in Patients Declared Brain Dead - a Prospective Quality Control Study","Investigative Neurological Study With Pupillometric Evaluation os a Clinical Tool in Patients Declared Brain Dead (INSPECT) - a Prospective Quality Control Study","INSPECT","Inclusion Criteria:\n\n* Suspected diagnosis of brain death\n* Brain death diagnostic procedures planned\n* Treated at the intensive care unit at the University Hospital Basel (USB)","ALL","18 Years",{"count":20,"type":21},50,"ESTIMATED","OBSERVATIONAL","The aim of the study is to verify the reliability of the current purely clinical examination of the pupils (without the support of a pupillometer) in the context of clinically suspected brain death, compared to the results of a non-invasive, automated, and highly precise monocular pupillometric examination.",[25,26],"Brain Death","Adults",[28,25,29],"Pupillometry","Diagnosis","RECRUITING","2026-06-15",{"date":33,"type":34},"2026-06-17","ACTUAL",{"date":36,"type":34},"2023-12-18",{"date":38,"type":21},"2030-12",{"name":40,"class":41},"University Hospital, Basel, Switzerland","OTHER",{"id":43,"slug":44,"hasResults":11,"nctId":45,"briefTitle":46,"officialTitle":47,"acronym":48,"eligibilityCriteria":49,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":50,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":52,"conditions":53,"keywords":67,"overallStatus":78,"whyStopped":4,"lastUpdateSubmitDate":79,"lastUpdatePostDateStruct":80,"startDateStruct":82,"completionDateStruct":84,"leadSponsor":86,"locationsCount":4},"100629619","non-invasive-detection-and-preservation-of-neurocognitive-signals-in-the-peri-death-period-using-brain-computer-interface-and-artificial-intelligence-100629619","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",{"count":51,"type":21},20,"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).",[54,55,56,25,57,58,59,60,61,62,63,64,65,66],"Terminal Illness","End-of-Life Care","Death","Death Anxiety","Consciousness","Electroencephalography","Gamma Oscillations","Near-Death Phenomena","Cognitive","Cognition","Memory","EEG","Severe Acute Trauma",[68,69,70,56,60,63,58,71,72,73,64,74,75,76,77],"AI","BCI","Brain Computer Interface","Pefi-death","Brain death","Reservation","Life","Life experience","Transfer","Convergence","NOT_YET_RECRUITING","2026-03-12",{"date":81,"type":34},"2026-03-17",{"date":83,"type":21},"2026-09-01",{"date":85,"type":21},"2035-09-30",{"name":87,"class":88},"Noah Tech, Corp.","INDUSTRY"]