[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100624023":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":12,"locations":18,"responsibleParty":38,"collaborators":10,"id":41,"slug":42,"hasResults":43,"nctId":44,"briefTitle":45,"officialTitle":46,"acronym":47,"eligibilityCriteria":48,"healthyVolunteers":43,"sex":49,"minAge":50,"maxAge":51,"enrollmentInfo":52,"targetDuration":10,"studyType":55,"phases":10,"briefSummary":56,"conditions":57,"keywords":59,"overallStatus":21,"whyStopped":10,"lastUpdateSubmitDate":66,"lastUpdatePostDateStruct":67,"startDateStruct":70,"completionDateStruct":72,"leadSponsor":74,"locationsCount":75},{"fullName":5,"class":6},"University Hospital, Geneva","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"Parkinson's disease patients treated with STN-DBS",null,"Prospective cohort",[13],{"name":14,"role":15,"phone":16,"phoneExt":10,"email":17},"Damien BENIS, PhD","CONTACT","+41223722311","damien.benis@hug.ch",[19],{"facility":20,"status":21,"city":22,"state":10,"zip":23,"country":24,"countryCode":25,"cosmosGeoPoint":26,"geoPoint":31,"contacts":32},"Geneva University Hospital","RECRUITING","Geneva","1211","Switzerland","CH",{"type":27,"coordinates":28},"Point",[29,30],6.14569,46.20222,{"lat":30,"lon":29},[33,35],{"name":34,"role":15,"phone":16,"phoneExt":10,"email":17},"Damien Benis, PhD",{"name":36,"role":37,"phone":10,"phoneExt":10,"email":10},"Vanessa Fleury, MD, PD","PRINCIPAL_INVESTIGATOR",{"type":37,"investigatorFullName":39,"investigatorTitle":40,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Vanessa Fleury","Dr","100624023","neural-correlates-of-motor-and-psychiatric-fluctuations-in-parkinsons-disease-100624023",false,"NCT07404241","Neural Correlates of Motor and Psychiatric Fluctuations in Parkinson's Disease","Subthalamic and Cortical Electrophysiological Correlates of Motor and Neuropsychiatric Fluctuations in Parkinson's Disease","Transition STN","Inclusion Criteria:\n\n* Diagnosis of Parkinson's disease (PD) based on United Kingdom Parkinson's Disease Society Brain Bank Criteria.\n* Patients candidate for STN-DBS in the PD phase called fluctuations stage.\n* Presence of fluctuations (motor and\u002For non-motor) are based on the pre-surgical DBS assessment:\n* To be on dopaminergic therapy.\n* Patients who have undergone STN-DBS implantation within 4 to 8 weeks before electrophysiological acquisition.\n\nExclusion Criteria:\n\n* Patients with an age greater than 80 years,\n* Dementia (defined by a MOCA score ≤24),\n* Active psychosis or depression with suicidal ideation,\n* Any clinically meaningful non-stable physical diseases,\n* Patients with OFF-drug state so severe that it prevents study tests from being carried out (e.g acute painful dystonia, intolerable non-motor symptoms such as pain, anxiety),\n* Participating in a pharmacological study,\n* Inability to provide informed consent (legal guardianship).","ALL","18 Years","80 Years",{"count":53,"type":54},30,"ESTIMATED","OBSERVATIONAL","This study explores the electrophysiological mechanisms underlying motor and non-motor fluctuations (NMF) in Parkinson's disease (PD), focusing on cortical and subthalamic dynamics during acute dopaminergic stimulation.\n\nPD is characterized by both motor symptoms and disabling non-motor symptoms-including neuropsychiatric fluctuations that remain poorly understood. While local field potentials (LFP) recorded from the subthalamic nucleus (STN) via deep brain stimulation (DBS) have revealed beta-band abnormalities linked to motor dysfunction, little is known about the oscillatory signatures of NMF. Preliminary data from our group suggested that gamma-band EEG activity in frontotemporal regions may correlate with neuropsychiatric fluctuations.\n\nThis Swiss, two-center, prospective observational study aims to investigate resting-state electroencephalogram (EEG) and STN-LFP correlates of motor and non-motor symptoms during a modified levodopa challenge in 30 PD patients with STN-DBS. Using high-density EEG and chronically implanted Medtronic Percept™ DBS devices, electrophysiological data will be collected across five clinical states (combinations of ON\u002FOFF levodopa and DBS). Clinical symptoms will be assessed alongside electrophysiological activity to identify frequency-specific cortical-STN biomarkers. Machine learning models (e.g., LASSO regression) will be used to predict motor and non-motor states from EEG and LFP data, enabling the identification of dynamic oscillatory markers. This could inform future adaptive DBS strategies.\n\nThe study leverages advanced methods in neurophysiology, imaging, and machine learning to deepen our understanding of PD fluctuations. It also proposes the first detailed electrophysiological mapping of NMF, which could improve patient stratification and neuromodulation therapies. Anatomical validation of DBS lead placement will be performed using standard neuroimaging toolkits.",[58],"PARKINSON DISEASE (Disorder)",[60,61,62,63,64,65],"neuropsychiatric fluctuations","non-motor symptoms","Local field potentials","Electroencephalography","Deep brain stimulation","Subthalamic nucleus","2026-02-04",{"date":68,"type":69},"2026-02-11","ACTUAL",{"date":71,"type":69},"2025-06-01",{"date":73,"type":54},"2028-12-31",{"name":5,"class":6},1]