[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100446712":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":25,"centralContacts":30,"locations":39,"responsibleParty":58,"collaborators":60,"id":64,"slug":65,"hasResults":66,"nctId":67,"briefTitle":68,"officialTitle":68,"acronym":69,"eligibilityCriteria":70,"healthyVolunteers":66,"sex":71,"minAge":72,"maxAge":24,"enrollmentInfo":73,"targetDuration":24,"studyType":76,"phases":77,"briefSummary":79,"conditions":80,"keywords":24,"overallStatus":42,"whyStopped":24,"lastUpdateSubmitDate":83,"lastUpdatePostDateStruct":84,"startDateStruct":87,"completionDateStruct":89,"leadSponsor":91,"locationsCount":92},{"fullName":5,"class":6},"Wuerzburg University Hospital","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Computer","EXPERIMENTAL","Programming based on computer-guided assessment",[13],"Other: DBS programming",{"label":15,"type":16,"description":17,"interventionNames":18},"CLINICAL","ACTIVE_COMPARATOR","Programming based on clinically-guided assessment",[13],[20],{"type":6,"name":21,"description":22,"armGroupLabels":23,"otherNames":24},"DBS programming","DBS readjustment based on COMPUTER or CLINICAL program",[15,9],null,[26],{"name":27,"affiliation":28,"role":29},"Martin Reich","Department of Neurology - University Hosiptal Würzburg","PRINCIPAL_INVESTIGATOR",[31,36],{"name":32,"role":33,"phone":34,"phoneExt":24,"email":35},"Martin Reich, Dr.","CONTACT","0931-201-0","Reich_M1@ukw.de",{"name":37,"role":33,"phone":34,"phoneExt":24,"email":38},"Florian Lange, Dr.","Lange_L@ukw.de",[40],{"facility":41,"status":42,"city":43,"state":44,"zip":45,"country":46,"countryCode":47,"cosmosGeoPoint":48,"geoPoint":53,"contacts":54},"Department of Neurology, University Hospital Würzburg","RECRUITING","Würzburg","Bavaria","97080","Germany","DE",{"type":49,"coordinates":50},"Point",[51,52],9.95121,49.79391,{"lat":52,"lon":51},[55,57],{"name":32,"role":33,"phone":56,"phoneExt":24,"email":35},"0931 201-0",{"name":37,"role":33,"phone":56,"phoneExt":24,"email":38},{"type":59,"investigatorFullName":24,"investigatorTitle":24,"investigatorAffiliation":24,"oldNameTitle":24,"oldOrganization":24},"SPONSOR",[61],{"name":62,"class":63},"BMBF (Bundes Ministerium fuer Bildung und Forschung)","UNKNOWN","100446712","dystonia-image-based-programming-of-stimulation-a-prospective-randomized-double-blind-crossover-trial-100446712",false,"NCT05097001","Dystonia Image-based Programming of Stimulation: A Prospective, Randomized, Double-blind Crossover Trial","DIPS","Inclusion Criteria:\n\n* Chronic deep brain stimulation (\\> 1 year) in the internal globus pallidus in patients with isolated dystonia.\n* Deep brain stimulation settings and dystonia medication stable for \\> 3 months.\n* Understanding about and consent to the study and signed informed consent form.\n\nExclusion Criteria:\n\n* Relevant comorbidities that might interfere with study endpoints (esp. palliative disease and severe neurologic or psychiatric comorbidities).","ALL","18 Years",{"count":74,"type":75},80,"ESTIMATED","INTERVENTIONAL",[78],"NA","The primary objective of this exploratory study is to prospectively evaluate the feasibility of image-guided programming of pallidal deep brain stimulation (DBS) for dystonia. The dystonias are a heterogeneous group of movement disorders that share the core clinical feature of abnormal involuntary muscle contractions in common. Pallidal DBS is an established therapy for severe cases with an average improvement in dystonia severity of 50-60%. However, outcomes are variable and difficult to predict, and clinical trials report up to 25% of Nonresponders. Variability in electrode placement and inappropriate stimulation settings may account for much of this variability in outcome. In addition, improvement in dystonia is delayed, often days to weeks after a change in DBS therapy, complicating programming.\n\nOur group recently developed a computer model to predict optimal individualized stimulation settings in patients based on the outcome of a large cohort of of chronically treated patients. In-silico testing showed a 16.3% better mean group improvement with computer-assisted programming compared with physician-assisted programming and a dramatic reduction in non-responders (from 25% to 5%).\n\nIn this prospective study, the computer model will be compared in a randomized, controlled, and double blinded setting against best clinical DBS programming. The primary outcome will be a responder analysis in which dystonia severity will be compared between conventional clinical and model-based programming will be compared.",[81,82],"Dystonia","Deep Brain Stimulation","2025-01-23",{"date":85,"type":86},"2025-01-28","ACTUAL",{"date":88,"type":86},"2021-11-01",{"date":90,"type":75},"2025-12",{"name":5,"class":6},1]