Abstract: Stroke is a common cerebrovascular disease. Motor dysfunction is the main problem in the sequelae of stroke disease, and it is also a serious difficulty in the rehabilitation treatment of stroke. In the process of hand motor rehabilitation after stroke, it is necessary to scientifically predict and evaluate the prognosis of patients and the recovery potential of motor function, so as to give appropriate treatment and intervention in a targeted manner. This paper reviews the prediction and evaluation of hand motor function recovery after stroke, such as functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), positron emission tomography (PET), and non-invasive brain stimulation methods like transcranial magnetic stimulation (TMS), quantitative electroencephalography (qEEG), and functional near-infrared spectroscopy (fNIRS), so as to guide clinicians with more effective, targeted and personalized rehabilitation treatment to patients, while better allocate medical resources.