[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100611154":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":21,"centralContacts":26,"locations":31,"responsibleParty":48,"collaborators":51,"id":55,"slug":56,"hasResults":57,"nctId":58,"briefTitle":59,"officialTitle":60,"acronym":20,"eligibilityCriteria":61,"healthyVolunteers":62,"sex":63,"minAge":64,"maxAge":20,"enrollmentInfo":65,"targetDuration":20,"studyType":68,"phases":69,"briefSummary":71,"conditions":72,"keywords":76,"overallStatus":33,"whyStopped":20,"lastUpdateSubmitDate":79,"lastUpdatePostDateStruct":80,"startDateStruct":83,"completionDateStruct":85,"leadSponsor":87,"locationsCount":88},{"fullName":5,"class":6},"University of California, Los Angeles","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Healthy Participants","EXPERIMENTAL","Participants will perform a subset of tasks while non-invasive activity is recorded which may include EEG, EMG, IMUs, fNIRS, eye gaze, or pupillometry.",[13],"Behavioral: Participants will perform experimental tasks while undergoing non-invasive activity recordings, which may include EEG, EMG, IMUs, fNIRS, eye gaze, or pupillometry.",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":20},"BEHAVIORAL","Participants will perform experimental tasks while undergoing non-invasive activity recordings, which may include EEG, EMG, IMUs, fNIRS, eye gaze, or pupillometry.","Participants may be prompted to imagine, attempt, or perform actions while a task is being performed on a computer, robotic arm, wheelchair, or exoskeleton. Participants may also autonomously perform actions to control each end effector. Participants may be asked to control a cursor to acquire a target or multiple targets. Participants may be asked to pick and place various objects, interact with articulated objects, or perform other motor tasks using a robotic manipulator. Participants may be asked to navigate a wheelchair.",[9],null,[22],{"name":23,"affiliation":24,"role":25},"Jonathan Kao, PhD","UCLA Neural Engineering and Computation Lab","PRINCIPAL_INVESTIGATOR",[27],{"name":28,"role":29,"phone":20,"phoneExt":20,"email":30},"Restoring Movement Study Coordinator","CONTACT","restoringmovementstudy@gmail.com",[32],{"facility":24,"status":33,"city":34,"state":35,"zip":36,"country":37,"countryCode":38,"cosmosGeoPoint":39,"geoPoint":44,"contacts":45},"RECRUITING","Los Angeles","California","90095","United States","US",{"type":40,"coordinates":41},"Point",[42,43],-118.24368,34.05223,{"lat":43,"lon":42},[46],{"name":28,"role":29,"phone":47,"phoneExt":20,"email":30},"310-983-3068",{"type":25,"investigatorFullName":49,"investigatorTitle":50,"investigatorAffiliation":5,"oldNameTitle":20,"oldOrganization":20},"Jonathan Kao","Associate Professor, UCLA ECE & CS",[52],{"name":53,"class":54},"Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)","NIH","100611154","towards-restoring-complex-movement-after-paralysis-algorithm-development-with-healthy-participants-100611154",false,"NCT07236892","Towards Restoring Complex Movement After Paralysis: Algorithm Development With Healthy Participants","Restoring Complex Movement and Locomotion After Paralysis Through Collaborative Copilots: Algorithm Development With Healthy Participants","Inclusion Criteria:\n\n* Fluent in the English language\n\nExclusion Criteria:\n\n* Neurological injury or disease that results in functional paralysis",true,"ALL","18 Years",{"count":66,"type":67},50,"ESTIMATED","INTERVENTIONAL",[70],"NA","Participants will perform experiments with non-invasive activity recordings. The study will record from multiple non-invasive signal sources that reflect motor intent that may include: electroencephalography (EEG), electromyography (EMG), functional near infrared spectroscopy (fNIRS), inertial measurement units (IMUs), eye movements, pupil size, and speech. Participants will wear all or a subset of these sensors and be asked to perform, imagine, or attempt movements or speech. The recorded sensor signals will be decoded to help guide an end effector, which may be a computer, robotic arm, wheelchair, or other assistive device.\n\nThese experiments present minimal risk and participants may withdraw participation at any time for any reason. Participants may return for additional experiments if desired and to perform additional comparisons. If a participant withdraws during a comparison, another participant will be recruited to complete collection of data for that comparison.",[73,74,75],"Movement Disorders","Neurorehabilitation","Non-invasive Activity Recording",[77,78],"Machine Learning","Algorithm Development","2025-12-22",{"date":81,"type":82},"2025-12-24","ACTUAL",{"date":84,"type":82},"2025-11-26",{"date":86,"type":67},"2029-12-01",{"name":5,"class":6},1]