[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"California Institute of Technology\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":49},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":20,"enrollmentInfo":21,"targetDuration":4,"studyType":24,"phases":25,"briefSummary":27,"conditions":28,"keywords":33,"overallStatus":36,"whyStopped":4,"lastUpdateSubmitDate":37,"lastUpdatePostDateStruct":38,"startDateStruct":41,"completionDateStruct":43,"leadSponsor":45,"locationsCount":48},"100570279","can-computational-measures-of-task-performance-predict-psychiatric-symptoms-and-changes-in-symptom-severity-across-time-100570279",false,"NCT06705179","Can Computational Measures of Task Performance Predict Psychiatric Symptoms and Changes in Symptom Severity Across Time","Leveraging Computationally Derived Measures of Individual Differences in Learning and Decision-making to Predict Psychiatric Diagnosis, Symptoms and Changes in Symptom Severity Across Time","CABxtime","Inclusion criteria (healthy control participants):\n\n* Age range of 18 to 65.\n* Not currently having a psychiatric diagnosis determined after psychiatric evaluation by Drs. Tadayon-Nejad and Wei (both are board certified psychiatrists).\n* Ability to understand and perform experimental tasks, i.e. basic ability to communicate and comprehend tasks.\n* Ability to give informed consent.\n\nExclusion criteria (healthy control participants):\n\n• Prior history and or current diagnosis of neurological disease.\n\nInclusion criteria (patients):\n\n* Age range of 18 to 65.\n* Psychiatric diagnosis of any type of depressive disorders, any type of anxiety disorders or obsessive-compulsive disorder.\n* Primary or comorbid bipolar disorders are allowed but only if not in the acute manic phase.\n* Comorbidity with autism spectrum disorder (ASD) and attention-deficit\u002Fhyperactivity disorder (ADHD) are allowed.\n* Ability to understand and perform experimental tasks, i.e. basic ability to communicate and comprehend tasks.\n* Ability to give informed consent.\n\nExclusion criteria (patients):\n\n* Prior history and or current diagnosis of neurological disease.\n* History or current diagnosis of psychotic disorders.\n* Currently active substance use disorder.",true,"ALL","18 Years","65 Years",{"count":22,"type":23},1100,"ESTIMATED","INTERVENTIONAL",[26],"NA","This study investigates the computational mechanisms associated with psychiatric disease dimensions. The study will characterize the relationship between computational parameter estimates of task performance and psychiatric symptoms and diagnoses with a longitudinal approach over a 12 month interval. Participants will be healthy participants recruited through Prolific an on-line crowdsourcing service, and psychiatric patients and healthy participants recruited via UCLA Psychiatry Clinics and UCLA's STAND Program",[29,30,31,32],"Behavior","Depressive Disorder","Anxiety Disorders","Obsessive Compulsive Disorder (OCD)",[34,35],"Computational Psychiatry","Behavioral task battery","NOT_YET_RECRUITING","2024-11-21",{"date":39,"type":40},"2024-11-26","ACTUAL",{"date":42,"type":23},"2025-01-01",{"date":44,"type":23},"2029-12-31",{"name":46,"class":47},"California Institute of Technology","OTHER",2,""]