Evidence map›Paper›PMID 42550319›Full record

ArticleBrain imaging and behavior2026

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.

Fengzhu Sun, Xinxin Li, Yajun Shi, Qing Jiao, Dong Cui, Jinpeng Niu, Yongxin Guo, Li Dong, Weifang Cao

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Article in Brain imaging and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Fengzhu SunSchool of Medical Imaging, Qilu Medical University, Zibo, 255300, China.
Xinxin LiSchool of Medical Imaging, Qilu Medical University, Zibo, 255300, China.
Yajun ShiSchool of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an, 271016, China.
Qing JiaoSchool of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an, 271016, China.
Dong CuiSchool of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an, 271016, China.
Jinpeng NiuSchool of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an, 271016, China.
Yongxin GuoSchool of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an, 271016, China.
Li DongMOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Weifang CaoSchool of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an, 271016, China. wfcao@sdfmu.edu.cn.

Funding

National Natural Science Foundation of China 81901730
6 · The paper itself

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.

Indexed as

AgingBrainDefault Mode NetworkAdultAgedBrain MappingCerebellumCognitionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetNeural PathwaysYoung AdultAgingBrain networksDynamic functional network connectivityFunctional magnetic resonance imagingMovie

Identifiers

PMID42550319

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.