Method and system for predicting cognitive decline and functional disability of alzheimer's disease using whole brain white matter pattern and determining type of cognitive impairment

A method of predicting cognitive decline and functional disability of Alzheimer's disease using a whole brain white matter pattern and determining a type of cognitive impairment, the method comprising:

• receiving, by input unit, a functional magnetic resonance imaging (fMRI) image and an amyloid positron emission tomography (amyloid-PET) image of a brain of a target person;
• extracting, by a preprocessing unit, multiple white matter masks from the fMRI image and the amyloid-PET image and generating first, second, and third matching images by using the multiple white matter masks;
• extracting, by an extraction unit, feature points respectively corresponding to a preset number of white matter regions by applying pre-constructed first, second, and third extraction models to the first matching image to the third matching image and extracting first white matter pattern to a third white matter pattern based on the extracted feature points;
• and
• predicting, by a determination unit, the cognitive decline and the functional disability of the Alzheimer's disease and determining the type of the cognitive impairment by analyzing variability of white matter patterns between the first, second, and third white matter patterns of the target person and 1′, 2′, and 3′ white matter patterns of each of the cognitive impairment groups,
• wherein the cognitive impairment groups include two or more of a subjective cognitive decline group, a mild cognitive impairment group, a vascular dementia group, and an Alzheimer's dementia group.