[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100615517":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":20,"centralContacts":20,"locations":21,"responsibleParty":42,"collaborators":44,"id":48,"slug":20,"hasResults":49,"nctId":50,"briefTitle":51,"officialTitle":51,"acronym":20,"eligibilityCriteria":52,"healthyVolunteers":53,"sex":54,"minAge":55,"maxAge":56,"enrollmentInfo":57,"targetDuration":20,"studyType":60,"phases":61,"briefSummary":63,"conditions":64,"keywords":70,"overallStatus":23,"whyStopped":20,"lastUpdateSubmitDate":77,"lastUpdatePostDateStruct":78,"startDateStruct":81,"completionDateStruct":83,"leadSponsor":85,"locationsCount":86},{"fullName":5,"class":6},"New York University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"MEG cohort","EXPERIMENTAL","Single-group study in healthy adults. Participants complete a behavioral training session and then an in-person session performing the Four-in-a-Row planning task during MEG (with an additional MEG localizer task, as applicable).",[13],"Behavioral: Four-in-a-Row Task",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":20},"BEHAVIORAL","Four-in-a-Row Task","Deterministic, adversarial 'Four-in-a-Row' decision-making task that requires thinking multiple steps ahead. Participants complete a training\u002Fgameplay session and a laboratory session in which they choose moves from mid-game positions while behavioral responses (and eye movements, if applicable) are recorded. After the neuroimaging session, participants may play a full match outside the scanner for an additional monetary reward.",[9],null,[22],{"facility":5,"status":23,"city":24,"state":24,"zip":25,"country":26,"cosmosGeoPoint":27,"geoPoint":32,"contacts":33},"RECRUITING","New York","10012","United States",{"type":28,"coordinates":29},"Point",[30,31],-74.00597,40.71427,{"lat":31,"lon":30},[34,39],{"name":35,"role":36,"phone":37,"phoneExt":20,"email":38},"Facility contact, Ph.D.","CONTACT","929-399-9886‬","mattar.lab.nyu@gmail.com",{"name":40,"role":41,"phone":20,"phoneExt":20,"email":20},"Marcelo G Mattar, PhD","PRINCIPAL_INVESTIGATOR",{"type":43,"investigatorFullName":20,"investigatorTitle":20,"investigatorAffiliation":20,"oldNameTitle":20,"oldOrganization":20},"SPONSOR",[45],{"name":46,"class":47},"National Institute of Mental Health (NIMH)","NIH","100615517",false,"NCT07293637","Identifying the Neural Correlates of Mental Simulation in Multi-Step Planning","Inclusion Criteria:\n\n* N\u002FA\n\nExclusion Criteria:\n\n* History of neurological or psychiatric illness\n* Vulnerable populations",true,"ALL","18 Years","64 Years",{"count":58,"type":59},50,"ESTIMATED","INTERVENTIONAL",[62],"NA","Planning is the ability to think ahead by considering possible future actions and their consequences. This research study aims to understand how the brain supports multi-step planning by testing whether people simulate promising future move sequences while deciding what to do next. Healthy adult volunteers will learn and play a strategy game called \"Four-in-a-Row\" (similar to Connect Four). Participants will complete two sessions on successive days: an online behavioral training\u002Fplaying session and an in-person brain-recording session at New York University. During the brain-recording session, participants will view mid-game board positions and choose the best move while the study team records brain activity (using magnetoencephalography \\[MEG\\] or functional MRI \\[fMRI\\]) and eye movements. Data from the game and eye tracking will also be used to fit computational models of planning that help interpret the neural measurements.",[65,66,67,68,69],"Decision Making","Cognition","Mental Simulation","Problem Solving","Planning",[71,69,72,73,74,75,76],"Four-in-a-Row","Tree search","Computational modeling","Eye tracking","MEG","fMRI","2026-01-07",{"date":79,"type":80},"2026-01-08","ACTUAL",{"date":82,"type":80},"2025-07-10",{"date":84,"type":59},"2026-12",{"name":5,"class":6},1]