Classification of Alzheimer's Disease Based on Abnormal Hippocampal Functional Connectivity and Machine Learning.

ABSTRACT:

Objective

Alzheimer's disease (AD) is a neurodegenerative disease characterized by progressive deterioration of memory and cognition. Mild cognitive impairment (MCI) has been implicated as a prodromal phase of AD. Although abnormal functional connectivity (FC) has been demonstrated in AD and MCI, the clinical differentiation of AD, MCI, and normal aging remains difficult, and the distinction between MCI and normal aging is especially problematic. We hypothesized that FC between the hippocampus and other brain structures is altered in AD and MCI, and that measurement of abnormal FC could have diagnostic utility for the classification of different AD stages.

Methods

Elderly adults aged 60-85 years were assigned to AD, MCI, or normal control (NC) groups based on clinical criter

SUBMITTER: Zhu Q 

PROVIDER: S-EPMC8902140 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature