[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Kernel\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":48},{"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":4,"briefSummary":25,"conditions":26,"keywords":29,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":42,"leadSponsor":44,"locationsCount":47},"100615616","prediction-of-response-to-depression-interventions-accelerated-rtms-using-clinical-and-td-fnirs-measurements-100615616",false,"NCT07294924","Prediction of REsponse to Depression Interventions (Accelerated rTMS) Using Clinical and TD-fNIRS Measurements","PREDICT-ACC: Prediction of REsponse to Depression Interventions (Accelerated rTMS) Using Clinical and TD-fNIRS Measurements","PREDICT-ACC","Inclusion Criteria for:\n\nAccelerated TMS cohort\n\n* Adults aged 18-75 at the time of enrollment\n* Primary diagnosis of MDD as defined by the DSM-5\n* Determined by the clinic to be eligible for accelerated rTMS treatment and agrees to receive accelerated rTMS treatment\n* Agrees to start accelerated rTMS treatment in conjunction with study participation to capture baseline measurements\n* Has not received rTMS treatment in the past 1 month\n* Has not received SPRAVATO treatment in the past 1 month\n* Can speak and understand English\n* Ability to provide informed consent\n\nHealthy controls cohort\n\n* Adults aged 18-75 at time of enrollment\n* Can speak and understand English\n* Ability to provide informed consent\n\nExclusion Criteria for:\n\nAll cohorts\n\n* Pregnant or may become pregnant during the treatment course\n* Unable or unwilling to wear the fNIRS headset\n* Has had electroconvulsive therapy (ECT) in the past 3 months\n* Major medical illnesses including neurological and psychiatric conditions such as Alzheimer's disease, Parkinson's disease, multiple sclerosis, epilepsy, schizophrenia, or stroke.\n* Any other clinically significant medical condition that in the opinion of the clinician or study team, could affect patient safety, wellbeing, or the participant's ability to comply with study procedures.\n* Not an appropriate candidate for the study based on the discretion of the study investigator(s).\n\nHealthy controls cohort only\n\n* Clinical diagnosis of depression in the past year\n* Undergoing any treatments for depression in the past year",true,"ALL","18 Years","75 Years",{"count":22,"type":23},100,"ESTIMATED","OBSERVATIONAL","This observational, longitudinal, multi-cohort study aims to evaluate functional brain activity in adults undergoing treatment for Major Depressive Disorder (MDD) at participating clinical sites. A separate cohort of healthy adults will be enrolled as a control group. All data collected in this study are for research purposes only and will not influence clinical decision-making or treatment plans.\n\nThis study will use TD-fNIRS to measure hemodynamic brain responses at rest and\u002For during tasks in patients receiving accelerated transcranial magnetic stimulation (TMS). Imaging will occur at multiple timepoints (pre-treatment, post-treatment, and follow-ups). Healthy control participants will complete similar measurements at one visit, with the option for a follow-up visit. The primary objectives are to assess feasibility, characterize brain activity patterns, and explore potential biomarkers associated with treatment response.",[27,28],"Major Depressive Disorder (MDD)","fNIRS",[30,31,32,33,34],"Accelerated TMS","Healthy Controls","Observational","Longitudinal","Neuroimaging","RECRUITING","2025-12-08",{"date":38,"type":39},"2025-12-19","ACTUAL",{"date":41,"type":23},"2025-12-15",{"date":43,"type":23},"2026-12-15",{"name":45,"class":46},"Kernel","INDUSTRY",2,""]