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This study is aimed to investigate the post-stroke motor recovery of patients with ischemic stroke based on their neural features extracted from EEG-fMRI data.
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A group of patients with ischemic stroke and age/gender matched healthy controls would be enrolled in this study. Their features of neural activities based on EEG-fMRI fusion scan would be extracted to investigate the mechanisms of motor recovery after stroke. Particularly, the correlations of their features of neural networks or local activities to their motor function (defined as their Fugl-Meyer scores) at enrollment and their recovery time courses consisted of Fugl-Meyer scores in follow-up time points. Data of T1 structural, DSI fiber image and pure EEG (without MRI) would also be collected along with EEG-fMRI fusion data.
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147 participants in 3 patient groups
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Wentao Zeng
Data sourced from clinicaltrials.gov
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