Details

Autor(en) / Beteiligte

• Zhao, Cui
• Huang, Wei-Jie
• Feng, Feng
• Zhou, Bo
• Yao, Hong-Xiang
• Guo, Yan-E
• Wang, Pan
• Wang, Lu-Ning
• Shu, Ni
• Zhang, Xi

Titel

Abnormal characterization of dynamic functional connectivity in Alzheimer's disease

Ist Teil von

• Neural regeneration research, 2022-09, Vol.17 (9), p.2014-2021

Ort / Verlag

India: Wolters Kluwer India Pvt. Ltd

Erscheinungsjahr

2022

Link zum Volltext

Quelle

EZB Free E-Journals

Beschreibungen/Notizen

• 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.