Alteration of functional connectivity in patients with Alzheimer’s disease revealed by resting-state functional magnetic resonance imaging
Jie Zhao
Yu-Hang Du
Xue-Tong Ding
Xue-Hu Wang
Guo-Zun Men
摘要：The main symptom of patients with Alzheimer’s disease is cognitive dysfunction. Alzheimer’s disease is mainly diagnosed based on changes in brain structure. Functional connectivity reflects the synchrony of functional activities between non-adjacent brain regions, and changes in functional connectivity appear earlier than those in brain structure. In this study, we detected resting-state functional connectivity changes in patients with Alzheimer’s disease to provide reference evidence for disease prediction. Functional magnetic resonance imaging data from pa-tients with Alzheimer’s disease were used to show whether particular white and gray matter areas had certain functional connectivity patterns and if these patterns changed with disease severity. In nine white and corresponding gray matter regions, correlations of normal cognition, early mild cognitive impairment, and late mild cognitive impairment with blood oxygen level-dependent signal time series were detected. Av-erage correlation coeffcient analysis indicated functional connectivity patterns between white and gray matter in the resting state of patients with Alzheimer’s disease. Functional connectivity pattern variation correlated with disease severity, with some regions having relatively strong or weak correlations. We found that the correlation coeffcients of five regions were 0.3–0.5 in patients with normal cognition and 0–0.2 in those developing Alzheimer’s disease. Moreover, in the other four regions, the range increased to 0.45–0.7 with increasing cognitive impair-ment. In some white and gray matter areas, there were specific connectivity patterns. Changes in regional white and gray matter connectivity patterns may be used to predict Alzheimer’s disease; however, detailed information on specific connectivity patterns is needed. All study data were obtained from the Alzheimer’s Disease Neuroimaging Initiative Library of the Image and Data Archive Database.
机标关键词：
分类号：R445(诊断学)R447(诊断学)R741(神经病学)
资助基金：the National Natural Science Foundation of China, (No. 61401308, 61572063)the Natural Science Foundation of Beijing of China, (No. L172055)the Beijing Municipal Science & Technology Commission Research Fund of China, (No. Z171100000417004)the China Postdoctoral Fund, (No. 2018M631755)the Special Fund for Improving Comprehensive Strength of Hebei University in the Midwest of China, (No. 801260201011)the High-Level Talent Funding Project — Selective Post-doc-toral Research Project Fund of Hebei Province of China, (No. B2018003002)
论文发表日期：2020-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：8( 285-292 )
英文信息