ABSTRACT
With the progress of population aging, cerebral small vessel disease is increasingly becoming a common and frequent disease threatening human health, which is a common reason leaing to cognitive function decline.The changes of white matter, especially white matter hyperintensities, are the most common and typical imaging marker of small cerebral vascular disease.In recent years, a number of studies has found that white matter hyperintensities are associated with cognitive decline.These studies mainly focused on the relationship between white matter hyperintensities and cognitive frailty, and the correlation between the size, location and dynamic evolution of white matter hyperintensities and cognitive impairment of small cerebral vascular disease.Functional magnetic resonance imaging studies also revealed that patients with cognitive impairment of cerebral small vessel disease had abnormal white matter changes and structural network connectivity.Structural network can be used for quantitative analysis because of its good stability.Diffusion tensor imaging and quantitative measurement of multi-dimensional structural network were used qualitatively.It was found that the structural network integrity was damaged, the network connection efficiency was reduced, and the connection was interrupted within the white matter hyperintensity.Big data and artificial intelligence research can make early prediction of white matter hyperintensity and structural networks in patients with cerebral small vessel disease with cognitive impairment.These studies provide a reliable basis for the discovery of abnormal microstructure and network changes in the early stage of white matter hyperintensities in cerebral small vessel disease with cognitive impairment.The paper reviews the research progress of white matter hyperintensity and brain structural network in patients with cognitive impairment of cerebral small vessel disease in recent years, and in order to improve the early diagnosis of the disease and promote the early prevention and treatment.