神经科学
痴呆
神经心理学
认知功能衰退
认知
默认模式网络
动态功能连接
阿尔茨海默病
异常
功能磁共振成像
机制(生物学)
心理学
疾病
静息状态功能磁共振成像
神经影像学
医学
内科学
精神科
哲学
认识论
作者
Qing Wang,Cancan He,Zan Wang,Zhijun Zhang,Chunming Xie
出处
期刊:Brain connectivity
[Mary Ann Liebert]
日期:2021-04-01
卷期号:11 (3): 213-224
被引量:8
标识
DOI:10.1089/brain.2020.0823
摘要
Introduction: It is unknown the alterations in the dynamic networks of the brain and the underlying molecular pathological mechanism of Alzheimer's disease (AD) spectrum. Here, we aim to explore the association between alterations in the dynamic brain networks' trajectory and cognitive decline in the AD spectrum. Methods: One hundred sixty subjects were recruited from the ADNI database, including 49 early mild cognitive impairment, 28 late mild cognitive impairment, 24 AD patients, and 59 cognitively normal. All participants completed the resting-state functional magnetic resonance imaging scan and neuropsychological tests. We integrated a new method combining large-scale network analysis and canonical correlation analysis to explore the dynamic spatiotemporal patterns within- and between resting-state networks (RSNs) and their significance in the AD spectrum. Results: All RSNs represented an increase in connectivity within networks by enhancing inner cohesive ability, while 7 out of 10 RSNs were characterized by a decrease in connectivity between networks, which indicated a weakened connector among networks from the early stage to dementia. This dichotomous mode presenting large-scale dynamic network abnormality was significantly correlated with the levels of molecular biomarkers of AD, and cognitive performance, as well as with the accumulating effects of 10 identified AD-related genetic risk factors. Discussion: These findings deepen our understanding of the associated mechanism underlying large-scale network disruption, linking known molecular biomarkers and phenotypic variations in the AD spectrum.
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