[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100609185":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":20,"centralContacts":24,"locations":30,"responsibleParty":48,"collaborators":19,"id":50,"slug":51,"hasResults":52,"nctId":53,"briefTitle":54,"officialTitle":54,"acronym":19,"eligibilityCriteria":55,"healthyVolunteers":56,"sex":57,"minAge":58,"maxAge":59,"enrollmentInfo":60,"targetDuration":19,"studyType":63,"phases":64,"briefSummary":66,"conditions":67,"keywords":69,"overallStatus":32,"whyStopped":19,"lastUpdateSubmitDate":73,"lastUpdatePostDateStruct":74,"startDateStruct":77,"completionDateStruct":79,"leadSponsor":81,"locationsCount":82},{"fullName":5,"class":6},"University of Electronic Science and Technology of China","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Neurofeedback group","EXPERIMENTAL","Participants received real-time neurofeedback information from the target regulation brain region.",[13],"Other: Real-time fMRI neurofeedback training",[15],{"type":6,"name":16,"description":17,"armGroupLabels":18,"otherNames":19},"Real-time fMRI neurofeedback training","Real-time neurofeedback information is computed using the Turbo Brain voyager (TBV) 4.0 software (Brain Innovation, Maastricht, The Netherlands). Functional images are collected and processed in real time based on contrasts of regulation vs. rest conditions. The BOLD signal of the target region is then transformed into visual bars and displayed to participants via the projector screen while participants keep using regulation strategy (heartbeat interoception in our study) to upregulate the target region.",[9],null,[21],{"name":22,"affiliation":5,"role":23},"Yao Shuxia, Dr.","PRINCIPAL_INVESTIGATOR",[25],{"name":26,"role":27,"phone":28,"phoneExt":19,"email":29},"Keith M Kendrick, Dr.","CONTACT","86-28-61830811","k.kendrick.uestc@gmail.com",[31],{"facility":5,"status":32,"city":33,"state":33,"zip":34,"country":35,"countryCode":36,"cosmosGeoPoint":37,"geoPoint":42,"contacts":43},"RECRUITING","Chengdu","611731","China","CN",{"type":38,"coordinates":39},"Point",[40,41],104.06667,30.66667,{"lat":41,"lon":40},[44],{"name":45,"role":27,"phone":46,"phoneExt":19,"email":47},"Shuxia Yao","18111297596","yaoshuxia@uestc.edu.cn",{"type":23,"investigatorFullName":45,"investigatorTitle":49,"investigatorAffiliation":5,"oldNameTitle":19,"oldOrganization":19},"Dr","100609185","individual-differences-in-cognitive-control-predict-real-time-fmri-neurofeedback-performance-100609185",false,"NCT07211269","Individual Differences in Cognitive Control Predict Real-time fMRI Neurofeedback Performance","Inclusion Criteria:\n\n* Healthy subjects without any past or present psychiatric or neurological disorders\n\nExclusion Criteria:\n\n* History of brain injury Medical or mental illness and color blindness or weakness.\n* The presence of metal in the body or claustrophobia.",true,"ALL","18 Years","35 Years",{"count":61,"type":62},40,"ESTIMATED","INTERVENTIONAL",[65],"NA","The goal of this study is to investgate whether individual differences of cognitive control capacity could predict neurofeedback performance and the behavioral effects resulting from successful anterior insula regulation via interoceptive strategy.",[68],"Healthy",[70,71,72],"Neurofeedback Performance","Interoception","Cognitive Control","2025-09-29",{"date":75,"type":76},"2025-10-07","ACTUAL",{"date":78,"type":76},"2025-09-03",{"date":80,"type":62},"2026-01-12",{"name":5,"class":6},1]