Open AccessAbnormal characterization of dynamic functional connectivity in Alzheimer’s disease
Author(s) -
Cui Zhao,
Wanyi Huang,
Feng Feng,
Bo Zhou,
Hongxiang Yao,
Yane Guo,
PanWang,
Luning Wang,
Ni Shu,
Xi Zhang
Publication year - 2022
Publication title -
neural regeneration research/neural regeneration research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.93
H-Index - 38
eISSN - 1876-7958
pISSN - 1673-5374
DOI - 10.4103/1673-5374.332161
Subject(s) - default mode network , precuneus , dynamic functional connectivity , functional magnetic resonance imaging , neuroscience , functional connectivity , resting state fmri , alzheimer's disease , psychology , disease , medicine
Numerous studies have shown abnormal brain functional connectivity in individuals with Alzheimer's disease (AD) or amnestic mild cognitive impairment (aMCI). However, most studies examined traditional resting state functional connections, ignoring the instantaneous connection mode of the whole brain. In this case-control study, we used a new method called dynamic functional connectivity (DFC) to look for abnormalities in patients with AD and aMCI. We calculated dynamic functional connectivity strength from functional magnetic resonance imaging data for each participant, and then used a support vector machine to classify AD patients and normal controls. Finally, we highlighted brain regions and brain networks that made the largest contributions to the classification. We found differences in dynamic function connectivity strength in the left precuneus, default mode network, and dorsal attention network among normal controls, aMCI patients, and AD patients. These abnormalities are potential imaging markers for the early diagnosis of AD.