默认模式网络
功能连接
认知
神经科学
脑老化
小脑
衰老的大脑
计算机科学
病态的
心理学
认知心理学
医学
病理
作者
Yuhui Du,Yating Guo,Vince D. Calhoun
标识
DOI:10.1109/embc40787.2023.10340189
摘要
Many studies have shown that changes in the functional connectivity are diverse along with aging. However, few studies have addressed how aging affects connectivity among large-scale brain networks, and it is challenging to examine gradual aging trajectories from middle adulthood to old age. In this work, based on large-sample fMRI data from 6300 subjects aged between 49 to 73 years, we apply an independent component analysis-based method called NeuroMark to extract brain functional networks and their connectivity (i.e., functional network connectivity (FNC)), and then propose a two-level statistical analysis method to explore robust aging-related changes in functional network connectivity. We found that the enhanced FNCs mainly occur between different functional domains, involving the default mode and cognitive control networks, while the reduced FNCs come from not only between different domains but also within the same domain, primarily relating to the visual network, cognitive control network and cerebellum. Our results emphasize the diversity of brain aging and provide new evidence for non-pathological aging of the whole brain.Clinical Relevance—This provides new evidence for non-pathological aging of functional network connectivity in the whole brain.
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