Quantitative Prognostic Analysis of Upper Limb Motor Dysfunction After Stroke

30% - 66% of stroke survivors have upper limb dysfunction. Effective rehabilitation can improve the prognosis, but the rehabilitation resources are limited. How to evaluate the prognosis early and formulate an individualized rehabilitation plan based on realistic expectations is still inconclusive. The current research shows that some brain network changes are related to the recovery of motor function. The dynamic connection of multi-modal and spatio-temporal fusion of motor network is helpful to the prognosis analysis of upper limb dyskinesia after stroke. 178 stroke patients will be included in this project. Fugl-Meyer motor function scale (upper limb part) and Action Research Arm Test (ARAT) will be evaluated at enrollment, 1month/3month/6month after onset. According to the results, the groups with good prognosis and poor prognosis will be distinguished; blood oxygen level dependent imaging and diffusion tensor imaging will be collected at the same time to compare the similarities and differences of the function and structural connection of the motion network; the correlation between interhemispheric connection, intrahemispheric connection, cross network connection of motor network and prognosis will be analyzed, the clinical and imaging features of different prognosis will be extracted. This study can provide scientific data support for the prognosis analysis of upper limb dysfunction after stroke, the improvement of rehabilitation clinical decision-making and the optimization of rehabilitation resource allocation.