[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"multimodal-monitoring\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:multimodal-monitoring":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,3,0,[8,44,67],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":18,"enrollmentInfo":19,"targetDuration":22,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":4,"overallStatus":31,"whyStopped":4,"lastUpdateSubmitDate":32,"lastUpdatePostDateStruct":33,"startDateStruct":36,"completionDateStruct":38,"leadSponsor":40,"locationsCount":43},"100641165","an-ai-based-prediction-of-cognitive-capacity-in-older-adults-and-individuals-with-mild-cognitive-impairment-during-virtual-reality-driving-tasks-100641165",false,"NCT07656389","An AI-Based Prediction of Cognitive Capacity in Older Adults and Individuals With Mild Cognitive Impairment During Virtual Reality Driving Tasks","From Eye Movements to Visuomotor Coupling: An AI-Based Prediction of Cognitive Capacity in Older Adults and Individuals With Mild Cognitive Impairment During Virtual Reality Driving Tasks","Inclusion Criteria:\n\n* (1) a score of 23 or higher on the Montreal Cognitive Assessment; (2) a Clinical Dementia Rating score of 0 for cognitively healthy participants or 0.5 for participants with mild cognitive impairment (MCI); (3) healthy young adults aged between 30 and 39 years, and cognitively healthy older adults and participants with MCI aged between 65 and 85 years; (4) right-hand dominance; and (5) adequate visual function to complete VR and eye-tracking tasks, defined as corrected binocular visual acuity of at least 0.5 without severe visual field deficits.\n\nExclusion Criteria:\n\n* (1) the presence or history of major psychiatric disorders or central nervous system diseases; (2) significant ocular diseases, such as untreated cataracts, active retinal diseases, moderate-to-severe or poorly controlled glaucoma, or marked visual field deficits beyond a specified level; (3) epilepsy; and (4) severe dizziness or VR-induced motion sickness.","ALL","30 Years","85 Years",{"count":20,"type":21},192,"ESTIMATED","12 Months","OBSERVATIONAL","Driving ability in older adults is essential for independent mobility and social participation, yet declines under high cognitive load or distraction often lead to visual attention failures such as \"look-but-fail-to-see,\" increasing crash risk. Older adults and individuals with mild cognitive impairment (MCI) show impairments in visual attention, executive control, and visuomotor integration, which are not adequately captured by conventional assessments. Virtual reality (VR) integrated with eye-tracking and upper-limb motion analysis enables ecologically valid simulation of driving scenarios and precise quantification of visuomotor behavior. However, current studies are limited by single-scenario designs, unimodal AI models, and insufficient integration of action-related data.\n\nThis study proposes a multi-phase framework: Year 1 develops an eye-movement-based AI model for MCI identification; Year 2 integrates multimodal data in VR driving tasks; and Year 3 establishes an explainable AI system with longitudinal validation. The study aims to advance cognitive assessment and develop a digital tool for early MCI detection and driving risk prediction.",[26,27,28,29,30],"Mild Cognitive Impairment (MCI)","Virtual Reality","Eye Movement Disorder","Multimodal Monitoring","Older Adults","NOT_YET_RECRUITING","2026-06-14",{"date":34,"type":35},"2026-06-18","ACTUAL",{"date":37,"type":21},"2026-06-20",{"date":39,"type":21},"2029-12-31",{"name":41,"class":42},"National Cheng-Kung University Hospital","OTHER",1,{"id":45,"slug":46,"hasResults":11,"nctId":47,"briefTitle":48,"officialTitle":49,"acronym":4,"eligibilityCriteria":50,"healthyVolunteers":11,"sex":16,"minAge":51,"maxAge":4,"enrollmentInfo":52,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":54,"conditions":55,"keywords":4,"overallStatus":31,"whyStopped":4,"lastUpdateSubmitDate":58,"lastUpdatePostDateStruct":59,"startDateStruct":61,"completionDateStruct":63,"leadSponsor":65,"locationsCount":4},"100608525","the-predictive-value-of-multimodal-brain-monitoring-for-perioperative-stroke-in-cardiac-surgery-patients-100608525","NCT07202689","The Predictive Value of Multimodal Brain Monitoring for Perioperative Stroke in Cardiac Surgery Patients","The Predictive Value of Multimodal Brain Monitoring for Perioperative Stroke in Cardiac Surgery Patients: A Prospective Observational Study","Inclusion Criteria:\n\n* Patients scheduled for elective cardiac surgery\n* Presence of at least one of the following high-risk factors for stroke: a.Peripheral vascular disease (history of peripheral artery bypass grafting, amputation for ischemia, Ankle-Brachial Pressure Index \\\u003C 0.9, or history of abdominal aortic aneurysm repair).b.Cerebrovascular disease (history of stroke, transient ischemic attack, or carotid stenosis \\>70%).c.Renal insufficiency (Glomerular Filtration Rate \\\u003C 60 mL\u002Fmin\u002F1.73m²).d.Diabetes mellitus (requiring oral hypoglycemic agents and\u002For insulin therapy).e.Urgent coronary artery bypass grafting (inpatient requiring revascularization due to acute coronary syndrome or myocardial infarction).f.Recent smoking history (within 1 year).g.Left ventricular ejection fraction \\\u003C 35%\n* Provision of signed informed consent\n\nExclusion Criteria:\n\n* Contraindication to magnetic resonance imaging (e.g., claustrophobia, inability to lie flat for the duration of the study, presence of a pacemaker or implantable cardioverter-defibrillator, or other metallic implants)\n* Inability to complete cognitive function assessments\n* Patients with psychiatric, legal disabilities or under legal guardianship\n* Life expectancy of less than 3 months\n* Women who are lactating or pregnant\n* Diagnosis of any type of dementia","18 Years",{"count":53,"type":21},369,"Postoperative stroke following cardiac surgery is associated with a ninefold increase in mortality risk compared to patients without stroke. Perioperative monitoring in cardiac surgery involves a range of complex and diverse techniques, presenting significant challenges for anesthetic management. Multimodal brain monitoring technology offers a novel approach to cerebral protection during the perioperative period of cardiac surgery by integrating hemodynamic parameters, autonomic nervous responses, cerebral oxygen saturation and indices, electroencephalographic activity, and cerebral blood flow velocity. Therefore, this study aims to evaluate the comprehensive early-warning efficacy of multimodal brain monitoring for perioperative stroke in cardiac surgery patients, determine the cumulative incidence of perioperative stroke-including covert stroke-and provide a new theoretical basis for optimizing cerebral protection strategies in cardiac surgery.",[29,56,57],"Perioperative Stroke","Covert Stroke","2025-09-24",{"date":60,"type":35},"2025-10-02",{"date":62,"type":21},"2025-10-01",{"date":64,"type":21},"2028-12-31",{"name":66,"class":42},"Beijing Tiantan Hospital",{"id":68,"slug":69,"hasResults":11,"nctId":70,"briefTitle":71,"officialTitle":71,"acronym":4,"eligibilityCriteria":72,"healthyVolunteers":11,"sex":16,"minAge":51,"maxAge":4,"enrollmentInfo":73,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":75,"conditions":76,"keywords":4,"overallStatus":77,"whyStopped":4,"lastUpdateSubmitDate":78,"lastUpdatePostDateStruct":79,"startDateStruct":81,"completionDateStruct":83,"leadSponsor":85,"locationsCount":43},"100560907","effect-of-multimodal-monitoring-cluster-management-on-patients-with-severe-traumatic-brain-injury-100560907","NCT06583252","Effect of Multimodal Monitoring Cluster Management on Patients with Severe Traumatic Brain Injury","Inclusion Criteria:\n\n1.Age \\>18 years, 2.Diagnosis of an acute brain injury (ABI) due to TBI, 3.GCS with Eyes response = 1 (no eyes opening) and Motor score ≤5 (not following commands) at the admission to intensive care unit (ICU) or neuro-worsen-ing within the first 48 hours with no eye opening and the Motor score decreased to ≤5.\n\n\\-\n\nExclusion Criteria:\n\n1. Have had a major stroke before.\n2. Pregnant or likely to become pregnant. 3 In the opinion of the treatment team, the decrease in GCS (Glasgow Coma Scale) score is solely due to intoxication, sedation, or extracranial injury.\n\n4 Participants are unlikely to comply with all study procedures, including follow-up, in the opinion of the investigator.\n\n5\\. Have an underlying medical condition with a life expectancy of less than 6 months.\n\n6\\. There are pre-existing contraindications to MRI examination. 7 suffer devastating TBI, either progressing to brain death at the time of recruitment, or the treating medical team does not commit to continuous, comprehensive aggressive treatment.",{"count":74,"type":21},200,"Traumatic brain injury (TBI) is a serious global health problem, with about 27 million new cases each year. Severe head trauma can lead to intracranial hypertension and a range of complications such as cerebral edema and hypoxia of brain tissue. Intracranial pressure monitoring is key to modern TBI treatment, but this approach does not fully reflect all relevant pathophysiological changes. Multimodal monitoring allows for a more comprehensive assessment of the severity of TBI and guidance for individualized treatment to improve patient outcomes by integrating different monitoring methods. Although more research is needed to confirm its efficacy, multimodal monitoring has been recognized as an important clinical decision support tool in neuroscience intensive care. Future studies may further optimize this approach to monitoring and provide a more effective treatment strategy for patients with TBI.",[29],"RECRUITING","2024-09-01",{"date":80,"type":35},"2024-09-03",{"date":82,"type":35},"2024-06-01",{"date":84,"type":21},"2026-06-30",{"name":86,"class":42},"Xiangya Hospital of Central South University"]