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Establishing a Prognostic Model for Stroke Recovery
Sponsor: National University Hospital, Singapore
Summary
This main aim of the study is to investigate the changes in neurophysiological features after stroke, and its association with upper limb motor recovery, so as to establish a prognostic model for upper limb motor recovery after stroke. The investigators hypothesize that a combination of neurophysiological features measured by transcranial magnetic stimulation (TMS), high density electroencephalography (HD-EEG), functional magnetic resonance imaging (fMRI) and Diffusion Tensor Imaging (DTI) might be used as biomarkers to predict upper limb motor outcomes after stroke. The investigators also hypothesize that non-invasive brain stimulation strategies such as tDCS will more effectively improve motor outcomes as an adjunct to therapy, if tailored according to patient's predicted pattern of neural reorganization.
Official title: Neural Network Reorganization Associated With Upper Limb Motor Recovery in Stroke Patients- Establishing a Prognostic Model and Tailoring Neuromodulation for Rehabilitation
Key Details
Gender
All
Age Range
21 Years - 80 Years
Study Type
INTERVENTIONAL
Enrollment
41
Start Date
2020-09-01
Completion Date
2026-07-16
Last Updated
2026-02-20
Healthy Volunteers
Yes
Conditions
Interventions
trancranial magnetic stimulation
A trained research staff or physician will perform tDCS to the subject. Direct current will be delivered by a battery-operated, constant current stimulator, through 2 rubber electrodes embedded in a pair of saline-soaked sponge bag. Stimulation intensity will be ramped up to 1 mA over 30 seconds and maintain at 1 mA for 20 minutes, and then ramped down to 0 mA over 30 seconds.
Locations (2)
Alexandra Hospital
Singapore, Singapore
National University Hospital
Singapore, Singapore