认知
显著性(神经科学)
心理学
默认模式网络
神经科学
任务正网络
神经影像学
自动性
认知心理学
作者
Clive H. Y. Wong,Jiao Liu,Jing Tao,Lidian Chen,Huan-Ling Yuan,Mabel N. K. Wong,Yanwen Xu,Tatia M.C. Lee,Chetwyn C. H. Chan
出处
期刊:GeroScience
[Springer Nature]
日期:2022-11-19
卷期号:45 (2): 889-899
被引量:3
标识
DOI:10.1007/s11357-022-00686-1
摘要
Abstract Age-related cognitive slowing is a prominent precursor of cognitive decline. Functional neuroimaging studies found that cognitive processing speed is associated with activation and coupling among frontal, parietal and cerebellar brain networks. However, how the reciprocal influences of inter- and intra-network coupling mediate age-related decline in processing speed remains insufficiently studied. This study examined how inter- and intra-brain network influences mediate age-related slowing. We were interested in the fronto-insular salience network (SN), frontoparietal dorsal attention network (DAN), cerebellar network (CN) and default mode network (DMN). Reaction time (RT) and functional MRI data from 84 participants (aged 18–75) were collected while they were performing the Arrow Task in visual or audial forms. At the subject level, effective connectivities (ECs) were estimated with regression dynamic causal modelling. At the group level, structural equation models (SEMs) were used to model latent speed based on age and the EC mediators. Age was associated with decreased speed and increased inter-network effective connectivity. The CN exerting influence on the DAN (CN → DAN EC) mediated, while the SN → DAN EC suppressed age-related slowing. The DMN and intra-network ECs did not seem to play significant roles in slowing due to ageing. Inter-network connectivity from the CN and SN to the DAN contributes to age-related slowing. The seemingly antagonizing influences of the CN and SN indicate that increased task-related automaticity and decreased effortful control on top-down attention would promote greater speed in older individuals.
科研通智能强力驱动
Strongly Powered by AbleSci AI