Multiparametric graph theoretical analysis reveals altered structural and functional network topology in Alzheimer's disease.

ABSTRACT: Alzheimer's disease (AD), an irreversible neurodegenerative disease, is the most common type of dementia in elderly people. This present study incorporated multiple structural and functional connectivity metrics into a graph theoretical analysis framework and investigated alterations in brain network topology in patients with mild cognitive impairment (MCI) and AD. By using this multiparametric analysis, we expected different connectivity metrics may reflect additional or complementary information regarding the topological changes in brain networks in MCI or AD. In our study, a total of 73 subjects participated in this study and underwent the magnetic resonance imaging scans. For the structural network, we compared commonly used connectivity metrics, including fractional anisotropy and nor

SUBMITTER: Lin SY 

PROVIDER: S-EPMC6357901 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature