Neural Network Reorganization Associated With Upper Limb Motor Recovery in Stroke Patients- Establishing a Prognostic Model and Tailoring Neuromodulation for Rehabilitation
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.
⁃ 21-80 years old;
• First ever stroke less than 6 weeks;
• Moderate to severe upper limb impairment with Manual Muscle Testing (MMT) score on shoulder abduction plus finger extension (SAFE) \<5 within the first week post-stroke.
⁃ Age 21-80 years old;
• No known medical history.