[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Noah Tech, Corp.\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":97},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,62],{"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":39,"overallStatus":50,"whyStopped":4,"lastUpdateSubmitDate":51,"lastUpdatePostDateStruct":52,"startDateStruct":55,"completionDateStruct":57,"leadSponsor":59,"locationsCount":4},"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":20,"type":21},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).",[25,26,27,28,29,30,31,32,33,34,35,36,37,38],"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",[40,41,42,27,32,35,30,43,44,45,36,46,47,48,49],"AI","BCI","Brain Computer Interface","Pefi-death","Brain death","Reservation","Life","Life experience","Transfer","Convergence","NOT_YET_RECRUITING","2026-03-12",{"date":53,"type":54},"2026-03-17","ACTUAL",{"date":56,"type":21},"2026-09-01",{"date":58,"type":21},"2035-09-30",{"name":60,"class":61},"Noah Tech, Corp.","INDUSTRY",{"id":63,"slug":64,"hasResults":11,"nctId":65,"briefTitle":66,"officialTitle":67,"acronym":68,"eligibilityCriteria":69,"healthyVolunteers":70,"sex":17,"minAge":71,"maxAge":4,"enrollmentInfo":72,"targetDuration":4,"studyType":74,"phases":75,"briefSummary":77,"conditions":78,"keywords":4,"overallStatus":50,"whyStopped":4,"lastUpdateSubmitDate":89,"lastUpdatePostDateStruct":90,"startDateStruct":92,"completionDateStruct":93,"leadSponsor":95,"locationsCount":96},"100609468","early-phase-1-mild-cognitive-impairment-community-screening-and-early-intervention-via-stem-cell-therapy-and-wearable-brain-computer-interface-device-100609468","NCT07214974","Mild Cognitive Impairment Community Screening and Early Intervention Via Stem Cell Therapy and Wearable Brain Computer Interface Device.","Mild Cognitive Impairment Community Screening, Early Detection, and Therapeutic Intervention to Slow Down, or Stop the Progression of the Cognitive Impairment.","MCITestCare","Inclusion Criteria:\n\nAdults aged 55 years and older Residents of U.S. urban or suburban communities Able to provide informed consent Willing to participate in 3-year follow-up assessments Able to complete cognitive screening assessments Access to transportation for community-based appointments No prior formal diagnosis of dementia\n\nExclusion Criteria:\n\nAdults under 55 years of age Current diagnosis of moderate to severe dementia Severe psychiatric disorders that would interfere with assessment validity Active substance abuse disorders Severe visual or hearing impairments that cannot be corrected and would prevent assessment completion Terminal illness with life expectancy less than 3 years Current participation in other cognitive intervention research studies Inability to attend follow-up assessments due to geographic relocation plans Significant neurological conditions (stroke, traumatic brain injury, Parkinson's disease) that could confound cognitive assessment Institutionalized individuals (nursing home residents)",true,"55 Years",{"count":73,"type":21},600,"INTERVENTIONAL",[76],"EARLY_PHASE1","This study aims to evaluate the efficacy of community-based early detection and targeted interventions, including stem cell therapy and wearable non-invasive brain-computer interface (BCI) devices, for Mild Cognitive Impairment (MCI) in adults aged 55 years and older residing in U.S. urban and suburban communities. Primary objectives include assessing improvements in MCI detection rates, cognitive outcomes, and progression delay compared to standard care.",[79,80,81,82,83,84,85,86,87,88],"Mild Cognitive Impairment (MCI)","Early Stages of Cognitive Decline","Alzheimer's Disease Dementia","Alzheimer's Disease Diagnosis","Alzheimer's Disease and Related Dementias","Parkinson's Disease","Parkinson's Disease (PD)","Parkinson's Disease With Wearing-off Motor Fluctuations","Dementia (Diagnosis)","Dementia MCI (Mild Cognitive Impairment)","2026-03-06",{"date":91,"type":54},"2026-03-10",{"date":56,"type":21},{"date":94,"type":21},"2030-01-03",{"name":60,"class":61},1,""]