Effects of aging on the mechanisms of dynamic integration between the default mode network and other brain networks: evidence based on fMRI data with natural stimulation.

IF 2.8 3区 医学 Q2 NEUROIMAGING
Fengzhu Sun, Xinxin Li, Yajun Shi, Qing Jiao, Dong Cui, Jinpeng Niu, Yongxin Guo, Li Dong, Weifang Cao
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引用次数: 0

Abstract

Cognitive decline during aging affects daily life in older adults and is associated with altered functional connectivity (FC) between brain networks. However, the dynamic functional network connectivity (dFNC) alterations among brain networks in healthy older adults in response to natural stimuli are unclear. The present study included functional magnetic resonance imaging data of 217 healthy subjects from the Cambridge Centre for Aging and Neuroscience in the movie-watching state to analyze brain networks' dFNC and investigate the relationship between dynamic temporal metrics and cognition. Seven brain networks were obtained using independent component analysis. Four dFNC states were obtained in young and older groups, and connectivity between the salience network and the cerebellum decreased in state 3 in older adults compared to young adults. Older adults spent less time in the strong FC state 2, which was significantly associated with cognition, suggesting that integration across brain networks contributes to the execution of cognitive tasks. In conclusion, using a naturalistic viewing paradigm, this study provides novel evidence that healthy aging is associated with altered spatiotemporal dynamics of large-scale brain networks. Specifically, we identified reduced connectivity between the salience network and cerebellum in older adults and found that the diminished persistence of a key dFNC state (State 2) directly correlates with cognitive performance. These findings offer new insights into the neural mechanisms of cognitive aging by highlighting the critical role of dynamic inter-network integration.

衰老对默认模式网络与其他脑网络动态整合机制的影响:基于自然刺激fMRI数据的证据。
衰老过程中的认知能力下降会影响老年人的日常生活,并与大脑网络之间功能连接(FC)的改变有关。然而,健康老年人脑网络在自然刺激下的动态功能网络连接(dFNC)改变尚不清楚。本研究利用剑桥老化与神经科学中心的217名健康受试者在观影状态下的功能磁共振成像数据,分析脑网络的dFNC,探讨动态时间尺度与认知的关系。采用独立分量分析得到7个脑网络。在年轻人和老年人组中获得了四种dFNC状态,与年轻人相比,老年人的突出网络和小脑之间的连通性在状态3中下降。老年人处于与认知显著相关的强FC状态2的时间较少,这表明跨大脑网络的整合有助于执行认知任务。综上所述,本研究提供了新的证据,证明健康衰老与大尺度脑网络时空动态的改变有关。具体来说,我们发现老年人突出网络和小脑之间的连通性减少,并发现关键dFNC状态(状态2)持续时间的减少与认知表现直接相关。这些发现通过强调动态网络间整合的关键作用,为认知衰老的神经机制提供了新的见解。
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来源期刊
Brain Imaging and Behavior
Brain Imaging and Behavior 医学-神经成像
CiteScore
7.20
自引率
0.00%
发文量
154
审稿时长
3 months
期刊介绍: Brain Imaging and Behavior is a bi-monthly, peer-reviewed journal, that publishes clinically relevant research using neuroimaging approaches to enhance our understanding of disorders of higher brain function. The journal is targeted at clinicians and researchers in fields concerned with human brain-behavior relationships, such as neuropsychology, psychiatry, neurology, neurosurgery, rehabilitation, and cognitive neuroscience.
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