The purpose of this study is to build a national image-based CSVD comprehensive evaluation platform by collecting the medical data of patients with cerebral small vessel diseases (CSVD) based on imaging longitudinally, and to evaluate the risk factors of each type of CSVD, as well as imaging signs, cognition, gait, autonomic nervous system and hemodynamics, sleep, sleep, and so on The outcome of emotion and fundus. In the fields of imaging, molecular and neurocognitive function, we explored the etiology and pathophysiological mechanism of CSVD, proposed new classification and diagnostic criteria of CSVD, and established the risk prediction model of CSVD. By evaluating the prognostic factors of CSVD, early identification of high-risk CSVD population, in order to reduce the burden of CSVD in China in the future.
The purpose of this study is to build a national image-based comprehensive evaluation platform of CSVD through longitudinal collection of imaging based medical data of patients with cerebral small vessel diseases (CSVD). On this basis, the new classification and diagnostic criteria of CSVD are proposed, and the risk prediction model of CSVD is established. By evaluating the prognostic factors of CSVD, early identification of high-risk CSVD population.