[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100656269":3},{"organization":4,"outcomesModule":7,"designInfo":61,"detailedDescription":70,"studyPopulation":60,"armGroups":71,"interventions":83,"overallOfficials":99,"centralContacts":104,"locations":113,"responsibleParty":144,"collaborators":147,"id":150,"slug":151,"hasResults":152,"nctId":153,"briefTitle":154,"officialTitle":155,"acronym":156,"eligibilityCriteria":157,"healthyVolunteers":158,"sex":159,"minAge":160,"maxAge":161,"enrollmentInfo":162,"targetDuration":60,"studyType":165,"phases":166,"briefSummary":168,"conditions":169,"keywords":174,"overallStatus":116,"whyStopped":60,"lastUpdateSubmitDate":183,"lastUpdatePostDateStruct":184,"startDateStruct":187,"completionDateStruct":189,"leadSponsor":191,"locationsCount":192},{"fullName":5,"class":6},"University Hospital of Mont-Godinne","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":21,"otherOutcomes":60},[9,13,16,19],{"measure":10,"description":11,"timeFrame":12},"Speed\u002FAccuracy Trade-off (SAT) measured by the REAplan® robot","Speed\u002FAccuracy Trade-off: mathematical computation of the relationship between speed and accuracy","change between baseline (Day 1) and after training (Day 3)",{"measure":14,"description":15,"timeFrame":12},"force measured by the REAplan® robot","forces exerted in the wrong direction by each arm (Newtons)",{"measure":17,"description":18,"timeFrame":12},"Root Mean Square Error (RMSE) measured by the Dextrain Manipulandum","error between the coordinates of the target and the cursor",{"measure":20,"description":11,"timeFrame":12},"Speed\u002FAccuracy Trade-off (SAT) measured by the Dextrain Manipulandum",[22,25,28,32,35,39,43,46,50,54,57],{"measure":23,"description":24,"timeFrame":12},"Hold time measured by the Dextrain Manipulandum","The amount of time the cursor remains inside the target zone",{"measure":26,"description":27,"timeFrame":12},"Coactivation measured by the Dextrain Manipulandum","binary measure of unasked fingers activated above the force threshold",{"measure":29,"description":30,"timeFrame":31},"Voxel-based Lesion Symptom Mapping (VLSM)","Diffusion Weighted Imaging (DWI)","Baseline",{"measure":33,"description":34,"timeFrame":31},"Diffusion Tensor Imaging (DTI)","Fractional Anisotropy",{"measure":36,"description":37,"timeFrame":38},"Fugl Meyer Upper Extremity Test (FMA-UE)","Tests impairments of the upper limb after stroke. Range: 0-66. A higher score means less impairment.","Day1",{"measure":40,"description":41,"timeFrame":42},"Oxford Cognitive Screen (OCS)","to identify cognitive impairments following stroke. Rather than providing only a single overall cognitive score, the OCS assesses several distinct cognitive domains (Language, Praxis, Number, Memory, Spatial and Controlled Attention) and produces a cognitive profile showing both preserved and impaired abilities.","Day2",{"measure":44,"description":45,"timeFrame":42},"Action Research Arm Test (ARAT)","evaluate upper-limb motor function and activity performance. Range: 0-57. higher scores indicating better upper-limb motor function",{"measure":47,"description":48,"timeFrame":49},"Fatigue Visual Analog Scale (VAS)","Visual Analog Scale to evaluate fatigue = a psychometric response scale which can be used in questionnaires. It is a measurement instrument for subjective characteristics or attitudes that cannot be directly measured. When responding to a VAS item, respondents specify their level of agreement to a statement by indicating a position along a continuous line between two end-points. Range : 0- 10. A higher score means a higher level of fatigue.","Day 1",{"measure":51,"description":52,"timeFrame":53},"Intrinsic Motivation Inventory (IMI)","To assess participants' level of motivation and engagement in completing the proposed tasks. They will be asked to respond to a series of items concerning their interest in the activities, perceived competence, perceived effort, and the value they attribute to the task.","Day3",{"measure":55,"description":56,"timeFrame":12},"Box and Block Test","To assess gross manual dexterity and unilateral upper-limb function.The participant is asked to move as many small wooden blocks as possible from one compartment of a box to another within 60 seconds. The task is performed separately with each hand. Score range: 0-150 for each hand. The score corresponds to the number of blocks successfully transferred in one minute. A higher score indicates better gross manual dexterity and upper-limb function.",{"measure":58,"description":59,"timeFrame":12},"Speed, Accuracy and Speed\u002FAccuracy Trade-off (SAT) measured by the REAplan® robot on a Reaching task and on a Drawing task","A simple Reaching task and a Drawing task (mandala) to assess motor control on the REAplan(R) robot",null,{"allocation":62,"interventionModel":63,"interventionModelDescription":60,"primaryPurpose":64,"observationalModel":60,"timePerspective":60,"maskingInfo":65},"RANDOMIZED","PARALLEL","BASIC_SCIENCE",{"masking":66,"maskingDescription":67,"whoMasked":68},"SINGLE","Not aware being of the different versions of the tasks",[69],"PARTICIPANT","Over 3 consecutive days, healthy individuals, acute and chronic stroke patients will be evaluated and will train on the rehabilitation robot REAplan® (http:\u002F\u002Fwww.axinesis.com\u002F) to assess proximal MSkL and on the manual dexterity tool Dextrain Manipulandum (https:\u002F\u002Fwww.dextrain.com\u002F) to assess distal MSkL.\n\nHealthy individuals, acute and chronic stroke patients will be randomised equally to 2 different groups. One group of participants will train over the 3 days on the serious game Circuit on the REAplan® and the game Targeting on the Dextrain Manipulandum. The other one will only be assessed on day 1 and day 3 on the serious games and will not have any training.\n\nFor proximal upper limb with the serious game Circuit, the participants will have to practice a complex circuit and move a cursor as quickly and accurately as possible by controlling the handle of the robot. A Reaching task and a Drawing task will be used to assess motor control.\n\nFor distal upper limb with the serious game Targeting, the participants will have to reach a series of targets with a cursor as quickly and accurately as possible by controlling their finger movements.\n\nTo explore the role of different brain structures in inter-limb transfer, Voxel-based Lesion Symptom Mapping (VLSM) based on high-resolution brain magnetic resonance imaging (MRI) scans, will be used to analyse the relationship between tissue damage and inter-limb transfer scores on a voxel-by-voxel basis.\n\nDiffusion Tensor Imaging (DTI) will quantify the integrity of several white matter tracts, allowing through correlation analyses to unveil the white matter tracts crucial to achieve this transfer.\n\nMoreover, several \"classical\" clinical scales and tests will be used to evaluate overall motor-sensory-cognitive functions.",[72,79],{"label":73,"type":74,"description":75,"interventionNames":76},"Ipsilesional Group","EXPERIMENTAL","Participants will have trainings on the REAplan® robot using their ipsilesional arm with a serious game based on proximal motor skill learning and on the Dextrain Manipulandum device using their ipsilesional hand with a serious game based on distal MSkL.\n\nParticipants will have assessment with each of their arms on the REAplan® robot with a serious game based on proximal motor skill learning and on the Dextrain Manipulandum device with each of their hands with a serious game based on distal MSkL",[77,78],"Device: REAplan®","Device: Dextrain Manipulandum®",{"label":80,"type":74,"description":81,"interventionNames":82},"Control Group","Participants will only have assessment with each of their arms but not trainings on the REAplan® robot with a serious game based on proximal motor skill learning and on the Dextrain Manipulandum device with each of their hands with a serious game based on distal MSkL",[77,78],[84,89,93,96],{"type":85,"name":86,"description":87,"armGroupLabels":88,"otherNames":60},"DEVICE","REAplan®","motor skill learning with the REAplan® rehabilitation robot, to be performed with ipsilesional arm",[73],{"type":85,"name":90,"description":91,"armGroupLabels":92,"otherNames":60},"Dextrain Manipulandum®","motor skill learning with the Dextrain Manipulandum® dexterity tool to be performed with ipsilesional hand",[73],{"type":85,"name":86,"description":94,"armGroupLabels":95,"otherNames":60},"proximal motor control and motor skill assessement with the REAplan® rehabilitation robot, to be performed by each arm",[80,73],{"type":85,"name":90,"description":97,"armGroupLabels":98,"otherNames":60},"distal motor skill assessment with the Dextrain Manipulandum® dexterity tool to be performed by each hand",[80,73],[100],{"name":101,"affiliation":102,"role":103},"Yves Vandermeeren, MD,PhD","UCLouvain IONS","PRINCIPAL_INVESTIGATOR",[105,110],{"name":106,"role":107,"phone":108,"phoneExt":60,"email":109},"Yves Vandermeeren, MD, PhD","CONTACT","+32 81 42 33 21","yves.vandermeeren@uclouvain.be",{"name":111,"role":107,"phone":60,"phoneExt":60,"email":112},"Wumeng Wang, MSc","wumeng.wang@uclouvain.be",[114,131],{"facility":115,"status":116,"city":117,"state":118,"zip":119,"country":120,"countryCode":121,"cosmosGeoPoint":122,"geoPoint":127,"contacts":128},"CHU UCL Namur","RECRUITING","Yvoir","Namur","5530","Belgium","BE",{"type":123,"coordinates":124},"Point",[125,126],4.88059,50.3279,{"lat":126,"lon":125},[129,130],{"name":101,"role":107,"phone":108,"phoneExt":60,"email":109},{"name":111,"role":107,"phone":60,"phoneExt":60,"email":112},{"facility":132,"status":116,"city":133,"state":60,"zip":134,"country":120,"countryCode":121,"cosmosGeoPoint":135,"geoPoint":139,"contacts":140},"Cliniques universitaires Saint-Luc","Brussels","1200",{"type":123,"coordinates":136},[137,138],4.34878,50.85045,{"lat":138,"lon":137},[141,143],{"name":142,"role":107,"phone":108,"phoneExt":60,"email":109},"Yves Vandermeeren, MD PhD",{"name":111,"role":107,"phone":60,"phoneExt":60,"email":112},{"type":103,"investigatorFullName":145,"investigatorTitle":146,"investigatorAffiliation":5,"oldNameTitle":60,"oldOrganization":60},"Pr Yves Vandermeeren, MD, PhD","MD, PhD, Neurologist, Principal Investigator, Clinical Professor",[148],{"name":149,"class":6},"Cliniques universitaires Saint-Luc- Université Catholique de Louvain","100656269","inter-limb-transfer-in-acute-stroke-100656269",false,"NCT07822633","Inter-Limb Transfer in Acute Stroke","Identifying Brain Regions Critical for Human Motor Learning Through Anatomic-functional Correlations of Deficits in Acute Stroke: Integrated Robotic and Voxel-based Lesion Symptom Mapping Approach","MLAS5","ACUTE STROKE PATIENTS:\n\nInclusion Criteria:\n\n* First acute ischemic or hemorrhagic stroke\n* Between the 2nd and 21st day post-stroke\n* Age: 40-90 years\n* Ability to complete the 3 consecutive sessions\n\nExclusion Criteria:\n\n* Stroke with multiple brain lesions\n* Addiction (e.g., alcohol or drugs)\n* Pregnancy\n* Major cognitive impairment (e.g., depression, aphasia, dementia)\n* Inability to perform or understand the required tasks\n* Uncontrolled health conditions\n* \" classical \" contre-indication to MRI (non-MR-compatible pacemaker, pregnancy, non-MR-compatible implanted devices, claustrophobia, etc ...)\n\nHEALTHY INDIVIDUALS:\n\nInclusion Criteria:\n\n* 40-90 years\n* availability to complete three consecutive sessions.\n\nExclusion Criteria:\n\n* \"classical\" contre-indication to MRI (non-MR-compatible pacemaker, pregnancy, non-MR-compatible implanted devices, claustrophobia, etc ...)\n* medical history with a previous stroke\u002Frelevant neurological deficit or disease\n* drug\u002Falcohol abuse\n* psychiatric condition\u002Fdementia\n* having already used the robotic devices\n\nCHRONIC STROKE PATIENTS:\n\nInclusion Criteria:\n\n* single stroke confirmed by brain imaging\n* time since stroke onset \\>6 months\n* age between 40-90 years\n* availability to complete three consecutive sessions.\n\nExclusion Criteria:\n\n* Stroke with multiple brain lesions\n* Addiction (e.g., alcohol or drugs)\n* Pregnancy\n* Major cognitive impairment (e.g., depression, aphasia, dementia)\n* Inability to perform or understand the required tasks\n* Uncontrolled health conditions\n* having already used the robotic devices",true,"ALL","40 Years","90 Years",{"count":163,"type":164},250,"ESTIMATED","INTERVENTIONAL",[167],"NA","This study aims to investigate whether the improvements achieved through motor skill learning (MSkL) with the ipsilesional upper limb (UL) are transferred to the contralesional UL during the (sub)acute stroke phase, and to identify the neural substrates underlying this inter-limb transfer. To achieve this, healthy individuals, acute and chronic stroke patients will perform proximal and distal MSkL tasks using serious games implemented on robotic devices. This will be complemented by behavioural assessments and multimodal MRI.",[170,171,172,173],"Stroke, Acute","Stroke (Subacute)","Healthy Individuals (Controls)","Chronic Stroke Patients",[175,176,177,178,179,180,181,182],"Motor Skill Learning","Upper limb","Acute stroke","Rehabilitation","Inter-limb transfer","Subacute stroke","Chronic stroke","Robotics","2026-09-10",{"date":185,"type":186},"2026-09-16","ACTUAL",{"date":188,"type":186},"2026-08-11",{"date":190,"type":164},"2032-01",{"name":5,"class":6},2]