Alzheimer's disease early-stage prediction model based on cerebellar function connection characteristics

Abstract

The invention discloses an Alzheimer's disease early-stage prediction model based on cerebellar function connection characteristics. The prediction model comprises a patient information collection system, an AD disease screening system, a magnetic resonance data analysis and processing system, a biomarker event feature extraction system and a risk prediction and analysis system. On the basis of magnetic resonance data, multi-modal data of structural phase magnetic resonance, resting state functional magnetic resonance and arterial spin labeling perfusion magnetic resonance are combined, and outcome and prognosis conditions of patients with different cognitive function states are predicted by using a feature classification method. And clinical doctors can select more effective treatment means. The magnetic resonance detection method combination can play a synergistic role, the evaluation efficiency of a single detection method is improved, and outcome and prognosis of a patient with cognitive impairment are effectively predicted. Compared with an existing method, the optimized combination of the method is more efficient, and the limitation that the existing method is high in cost, long in time and large in wound is reduced.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to an early prediction model of Alzheimer's disease based on the characteristics of cerebellar functional connection. Background technique [0002] Alzheimer's disease (AD) is the most common type of senile dementia characterized by progressive memory decline, cognitive function decline, and emotional personality changes. With the progress of my country's population aging and the development of medical level, China has become the country with the largest number of AD patients in the world, which has reached more than 8 million. Not falling but increasing. Epidemiology shows that the incidence and prevalence of each country are different, and it is related to the level of people's living standards and education in the country's development level. AD has become a public health problem of global concern. Mild cognitive impairment (mildcognitive impairment, MCI) refers to the progress...

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Problems solved by technology

[0004] The purpose of the present invention is to provide an early prediction model of Alzheimer's disease based on the characteristics of cerebellar functional connectivity, so as to solve the problem that there is no hypothesis in the above background technology that can well explain the occurrence and development of AD, and its treatment is currently focused on the treatment of AD. Relief of symptoms, although a large number of clinical studies have confirmed the effectiveness and safety of current drugs, but the long-term treatment effect is not ideal, and the price is expensive, resulting in poor patient compliance

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