Multisite Transcranial Direct Current Stimulation to Promote Hand Function Recovery After Stroke
NCT ID: NCT05638464
Last Updated: 2024-09-03
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
50 participants
INTERVENTIONAL
2021-08-13
2024-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
DOUBLE
Study Groups
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multisite HD-tDCS with EMG-driven robot hand group
The stimulation electrodes are fixed on the ipsilesional sensorimotor cortex according to the brain activation map detected by task based fMRI.
multisite HD-tDCS EMG-driven robot hand
Multisite HD-tDCS will individual stimulation montages with robot hand training will be applied on chronic stroke survivors. In the multisite HD-tDCS group, 5-8 sintered Ag/AgCl ring electrodes will be placed based on the neuroimaging and computation modelling. The location of the electrodes will be identified by the individual brain activity in the primary motor cortex derived from tasked-based fMRI. The Finite Element Model (FEM) will be used to simulate the electric field distribution on individual brain. Optimization of stimulation montages will be based on the derived activation pattern of the brain. After 20-minute multisite HD-tDCS, EMG-driven robot hand training will be conducted.
Sham HD-tDCS EMG-driven robot hand group
The stimulator will be applied for 20 minutes with only 30s ramp-up and ramp-down stimulation delivered.
Sham HD-tDCS EMG-driven robot hand
Sham stimulation with robot hand training will be applied on chronic stroke survivors.
After the sham stimulation, EMG-driven robot hand training will be conducted.
Interventions
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multisite HD-tDCS EMG-driven robot hand
Multisite HD-tDCS will individual stimulation montages with robot hand training will be applied on chronic stroke survivors. In the multisite HD-tDCS group, 5-8 sintered Ag/AgCl ring electrodes will be placed based on the neuroimaging and computation modelling. The location of the electrodes will be identified by the individual brain activity in the primary motor cortex derived from tasked-based fMRI. The Finite Element Model (FEM) will be used to simulate the electric field distribution on individual brain. Optimization of stimulation montages will be based on the derived activation pattern of the brain. After 20-minute multisite HD-tDCS, EMG-driven robot hand training will be conducted.
Sham HD-tDCS EMG-driven robot hand
Sham stimulation with robot hand training will be applied on chronic stroke survivors.
After the sham stimulation, EMG-driven robot hand training will be conducted.
Eligibility Criteria
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Inclusion Criteria
* mild to moderate upper extremity motor function deficit, determined by the Fugl-meyer assessment of upper extremity (FMAUE) scores between 15 and 53;
* detectable voluntary muscle sEMG signal from flexor digitorum (FD) and extensor digitorum (ED);
* scored below 3 in the Modified Ashworh Score (MAS) of FD and ED;
* sufficient cognitive function to follow the assessment and training instructions, determined by Mini Mental State Examination score of more than 21.
Exclusion Criteria
* severe joint contracture of elbow or shoulder, or pain induced by any other neurological, neuromuscular, and orthopedic diseases.
18 Years
ALL
Yes
Sponsors
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Chinese University of Hong Kong
OTHER
Responsible Party
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Raymond KY Tong
Professor and Chairman
Principal Investigators
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Raymond Kai-yu Tong, PhD
Role: PRINCIPAL_INVESTIGATOR
Department of Biomedical Engineering, CUHK
Locations
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Department of Biomedical Engineering, The Chinese University of Hong Kong
Hong Kong, , Hong Kong
Countries
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Central Contacts
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Facility Contacts
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Raymond Tong, PhD
Role: primary
References
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Hu C, Ti CHE, Yuan K, Chen C, Khan A, Shi X, Chu WC, Tong RK. Effects of high-definition tDCS targeting individual motor hotspot with EMG-driven robotic hand training on upper extremity motor function: a pilot randomized controlled trial. J Neuroeng Rehabil. 2024 Sep 20;21(1):169. doi: 10.1186/s12984-024-01468-w.
Other Identifiers
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2018.661
Identifier Type: -
Identifier Source: org_study_id
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