[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100611194":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":25,"centralContacts":26,"locations":32,"responsibleParty":66,"collaborators":25,"id":70,"slug":71,"hasResults":72,"nctId":73,"briefTitle":74,"officialTitle":74,"acronym":75,"eligibilityCriteria":76,"healthyVolunteers":72,"sex":77,"minAge":78,"maxAge":79,"enrollmentInfo":80,"targetDuration":25,"studyType":83,"phases":84,"briefSummary":86,"conditions":87,"keywords":89,"overallStatus":35,"whyStopped":25,"lastUpdateSubmitDate":93,"lastUpdatePostDateStruct":94,"startDateStruct":97,"completionDateStruct":99,"leadSponsor":101,"locationsCount":102},{"fullName":5,"class":6},"University Hospital, Geneva","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Active phase","ACTIVE_COMPARATOR","During the active phase, patients will receive real-time audio feedback on spontaneous alpha-band functional connectivity between ipsilesional associative visual areas and the rest of the brain. This will allow them to learn to improve their pathological brain interactions. The neurofeedback training will last about 40 minutes, with frequent breaks. It will be followed by visual stimulation of the affected visual field according to recommendations for inducing steady-state visual evoked potentials.",[13],"Procedure: neurofeedback",{"label":15,"type":16,"description":17,"interventionNames":18},"control phase","SHAM_COMPARATOR","The control phase is structured identically to the active period, except that the acoustic neurofeedback is synthetically generated and not linked to the subject's actual functional connectivity, while still resembling its dynamic characteristics to ensure effective blinding. The training will last about 40 minutes, with frequent breaks. The training will be followed by visual stimulation of the affected visual field, just as in the active condition.",[13],[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":25},"PROCEDURE","neurofeedback","The proposed neurofeedback approach relies on high-density electroencephalography (EEG) combined with advanced source localization algorithms. Data will be analyzed in real-time and simultaneously recorded for offline analysis. During each update, a data segment will be filtered between 1 and 20 Hz. The beamformer, computed at the beginning of the session, will be used to project the signal to the gray-matter voxels.\n\nThe investigators will compute the alpha-band absolute imaginary coherence between a visual target area and the rest of the brain as index of functional connectivity. Global functional connectivity in the alpha band (8-13 Hz) between the voxels in the target region and the rest of the brain will be calculated.",[9,15],null,[27],{"name":28,"role":29,"phone":30,"phoneExt":25,"email":31},"Adrian Guggisberg, MD","CONTACT","+41795537291","adrian.guggisberg@hug.ch",[33,52],{"facility":34,"status":35,"city":36,"state":37,"zip":38,"country":39,"countryCode":40,"cosmosGeoPoint":41,"geoPoint":46,"contacts":47},"Inselspital","RECRUITING","Bern","Canton of Bern","3010","Switzerland","CH",{"type":42,"coordinates":43},"Point",[44,45],7.44744,46.94809,{"lat":45,"lon":44},[48],{"name":49,"role":29,"phone":50,"phoneExt":25,"email":51},"Despina Zlatkova","+41764138289","despina.zlatkova@unige.ch",{"facility":53,"status":54,"city":55,"state":56,"zip":57,"country":39,"countryCode":40,"cosmosGeoPoint":58,"geoPoint":62,"contacts":63},"Division of Neurorehabilitation, University Hospital of Geneva","NOT_YET_RECRUITING","Geneva","Canton of Geneva","1202",{"type":42,"coordinates":59},[60,61],6.14569,46.20222,{"lat":61,"lon":60},[64],{"name":28,"role":29,"phone":65,"phoneExt":25,"email":31},"0795537291",{"type":67,"investigatorFullName":68,"investigatorTitle":69,"investigatorAffiliation":5,"oldNameTitle":25,"oldOrganization":25},"SPONSOR_INVESTIGATOR","Adrian Guggisberg","Full Professor","100611194","neurofeedback-based-visual-restoration-therapy-100611194",false,"NCT07237412","Neurofeedback-based Visual Restoration Therapy","ReViseNetFeed","Inclusion Criteria:\n\n* Chronic, stable HVFD (homologous lateral quadranopsia or hemianopsia)\n* 12 months or more after stroke\n* Age range 50-70\n* Ability to provide informed consent\n\nExclusion Criteria:\n\n* Inability to concentrate for long treatment sessions\n* Eye disease with impact on visual field or acuity\n* Presence of non-MRI safe metal in the body\n* New stroke during study period\n* Hemispatial neglect","ALL","50 Years","70 Years",{"count":81,"type":82},14,"ESTIMATED","INTERVENTIONAL",[85],"NA","Visual field defects are a common consequence of acquired brain injuries and affect people of all ages. These vision problems make everyday life more difficult-for example, when reading, driving, or moving around safely. However, there is currently no effective therapy to improve visual field defects.\n\nPrevious training methods have focused on maximizing brain activity during a task. However, new findings show that the best performance is achieved when the brain is already in a state of high communication before the task. Our research shows that people can learn to increase communication between brain regions through neurofeedback.\n\nStudies have shown that neurofeedback can help people after a stroke: it improves the coordination of brain areas that are important for movement, thereby helping to increase mobility. Building on these findings, this study investigates whether EEG neurofeedback can support the visual centers in the brain to improve vision in patients with chronic visual field defects. The main objective of the study is to evaluate the effectiveness of neurofeedback in improving visual field defects. More specifically, the investigators are investigating the development of visual ability (expansion of the visual field, contrast sensitivity).",[88],"Visual Field Defect Homonymous Bilateral",[90,22,91,92],"stroke","network","EEG","2026-04-28",{"date":95,"type":96},"2026-04-29","ACTUAL",{"date":98,"type":96},"2025-11-17",{"date":100,"type":82},"2028-04-30",{"name":68,"class":6},2]