This study integrates the wireless EEG system with an ordinary rehabilitation device (an upper limb ergometer, "arm bike") used in the Department of Physical Medicine and Rehabilitation at our hospital for a brain-computer-interface (BCI)-controlled neurorehabilitation device, and aims to test the effectiveness of this device. We hypothesize that, the coupling of electroencephalographic signals related with initiation of limb movements with a mechanical device which assists the intended movement is effective to facilitate motor recovery in patients with brain lesion. We propose to enroll 20 patients with cerebrovascular accident (CVA) (4-24 months after the onset of CVA) and the patients will be randomly assigned to experimental (using BCI controlled device and undergoing standard rehabilitation) and control groups (undergoing standard rehabilitation alone). To compare the rehabilitation results among these groups, we propose to use various assessment tools including clinical evaluation (Fugl-Meyer assessment, Modified Ashworth scale, Motor Activity Log, Functional Independence Measure) as well as functional Magnetic Resonance Imaging (fMRI) and Diffusion Tensor Imaging (DTI) before, immediate and 2 months after completion of the training protocol.