Diagnosis of early mild cognitive impairment using a multiobjective optimization algorithm based on T1-MRI data.

ABSTRACT: Alzheimer's disease (AD) is the most prevalent form of dementia. The accurate diagnosis of AD, especially in the early phases is very important for timely intervention. It has been suggested that brain atrophy, as measured with structural magnetic resonance imaging (sMRI), can be an efficacy marker of neurodegeneration. While classification methods have been successful in diagnosis of AD, the performance of such methods have been very poor in diagnosis of those in early stages of mild cognitive impairment (EMCI). Therefore, in this study we investigated whether optimisation based on evolutionary algorithms (EA) can be an effective tool in diagnosis of EMCI as compared to cognitively normal participants (CNs). Structural MRI data for patients with EMCI (n = 54) and CN participants (n = 56)

SUBMITTER: Zamani J 

PROVIDER: S-EPMC8770462 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature