Suppr超能文献

大脑网络架构的重新配置以支持衰老过程中的执行控制。

Reconfiguration of brain network architecture to support executive control in aging.

作者信息

Gallen Courtney L, Turner Gary R, Adnan Areeba, D'Esposito Mark

机构信息

Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA.

Department of Psychology, Sherman Health Sciences Research Centre, York University, Toronto, Ontario, Canada.

出版信息

Neurobiol Aging. 2016 Aug;44:42-52. doi: 10.1016/j.neurobiolaging.2016.04.003. Epub 2016 Apr 20.

Abstract

Aging is accompanied by declines in executive control abilities and changes in underlying brain network architecture. Here, we examined brain networks in young and older adults during a task-free resting state and an N-back task and investigated age-related changes in the modular network organization of the brain. Compared with young adults, older adults showed larger changes in network organization between resting state and task. Although young adults exhibited increased connectivity between lateral frontal regions and other network modules during the most difficult task condition, older adults also exhibited this pattern of increased connectivity during less-demanding task conditions. Moreover, the increase in between-module connectivity in older adults was related to faster task performance and greater fractional anisotropy of the superior longitudinal fasciculus. These results demonstrate that older adults who exhibit more pronounced network changes between a resting state and task have better executive control performance and greater structural connectivity of a core frontal-posterior white matter pathway.

摘要

衰老伴随着执行控制能力的下降以及潜在脑网络结构的变化。在此,我们在无任务静息状态和N-back任务期间对年轻人和老年人的脑网络进行了检查,并研究了与年龄相关的大脑模块化网络组织变化。与年轻人相比,老年人在静息状态和任务之间的网络组织变化更大。尽管年轻人在最困难的任务条件下外侧额叶区域与其他网络模块之间的连通性增加,但老年人在要求较低的任务条件下也表现出这种连通性增加的模式。此外,老年人模块间连通性的增加与更快的任务表现以及上纵束更大的分数各向异性有关。这些结果表明,在静息状态和任务之间表现出更明显网络变化的老年人具有更好的执行控制表现以及核心前后白质通路更大的结构连通性。

相似文献

1
Reconfiguration of brain network architecture to support executive control in aging.
Neurobiol Aging. 2016 Aug;44:42-52. doi: 10.1016/j.neurobiolaging.2016.04.003. Epub 2016 Apr 20.
2
Functional and structural syntax networks in aging.
Neuroimage. 2013 Dec;83:513-23. doi: 10.1016/j.neuroimage.2013.07.018. Epub 2013 Jul 16.
3
Age differences in the functional interactions among the default, frontoparietal control, and dorsal attention networks.
Neurobiol Aging. 2016 May;41:159-172. doi: 10.1016/j.neurobiolaging.2016.02.020. Epub 2016 Mar 3.
4
Healthy aging by staying selectively connected: a mini-review.
Gerontology. 2014;60(1):3-9. doi: 10.1159/000354376. Epub 2013 Sep 28.
5
6
A Comprehensive Analysis of Connectivity and Aging Over the Adult Life Span.
Brain Connect. 2016 Mar;6(2):169-85. doi: 10.1089/brain.2015.0345. Epub 2016 Jan 22.
7
Aging relates to a disproportionately weaker functional architecture of brain networks during rest and task states.
Neuroimage. 2020 Apr 1;209:116521. doi: 10.1016/j.neuroimage.2020.116521. Epub 2020 Jan 8.
8
Connectome-based models predict attentional control in aging adults.
Neuroimage. 2019 Feb 1;186:1-13. doi: 10.1016/j.neuroimage.2018.10.074. Epub 2018 Oct 28.
9
Changes in structural and functional connectivity among resting-state networks across the human lifespan.
Neuroimage. 2014 Nov 15;102 Pt 2:345-57. doi: 10.1016/j.neuroimage.2014.07.067. Epub 2014 Aug 7.
10
Attenuated anticorrelation between the default and dorsal attention networks with aging: evidence from task and rest.
Neurobiol Aging. 2016 Sep;45:149-160. doi: 10.1016/j.neurobiolaging.2016.05.020. Epub 2016 Jun 3.

引用本文的文献

2
Tangent space functional reconfigurations in individuals at risk for alcohol use disorder.
Netw Neurosci. 2025 Mar 3;9(1):38-60. doi: 10.1162/netn_a_00419. eCollection 2025.
3
Variation in brain aging: A review and perspective on the utility of individualized approaches to the study of functional networks in aging.
Neurobiol Aging. 2025 Mar;147:68-87. doi: 10.1016/j.neurobiolaging.2024.11.010. Epub 2024 Dec 7.
7
Edge-Community Entropy Is a Novel Neural Correlate of Aging and Moderator of Fluid Cognition.
J Neurosci. 2024 Jun 19;44(25):e1701232024. doi: 10.1523/JNEUROSCI.1701-23.2024.
8
Cooperation and competition between the default mode network and frontal parietal network in the elderly.
Front Psychol. 2023 May 19;14:1140399. doi: 10.3389/fpsyg.2023.1140399. eCollection 2023.
9
Influence of goals on modular brain network organization during working memory.
Front Behav Neurosci. 2023 Apr 17;17:1128610. doi: 10.3389/fnbeh.2023.1128610. eCollection 2023.
10
The use of resting state data in an integrative approach to studying neurocognitive ageing - Commentary on Campbell and Schacter (2016).
Lang Cogn Neurosci. 2017;32(6):684-691. doi: 10.1080/23273798.2016.1251600. Epub 2016 Nov 4.

本文引用的文献

1
Default Mode Dynamics for Global Functional Integration.
J Neurosci. 2015 Nov 18;35(46):15254-62. doi: 10.1523/JNEUROSCI.2135-15.2015.
3
Reconfiguration of the Brain Functional Network Associated with Visual Task Demands.
PLoS One. 2015 Jul 6;10(7):e0132518. doi: 10.1371/journal.pone.0132518. eCollection 2015.
4
Ongoing dynamics in large-scale functional connectivity predict perception.
Proc Natl Acad Sci U S A. 2015 Jul 7;112(27):8463-8. doi: 10.1073/pnas.1420687112. Epub 2015 Jun 23.
6
Changes in global and regional modularity associated with increasing working memory load.
Front Hum Neurosci. 2014 Dec 1;8:954. doi: 10.3389/fnhum.2014.00954. eCollection 2014.
7
Decreased segregation of brain systems across the healthy adult lifespan.
Proc Natl Acad Sci U S A. 2014 Nov 18;111(46):E4997-5006. doi: 10.1073/pnas.1415122111. Epub 2014 Nov 3.
8
Intrinsic and task-evoked network architectures of the human brain.
Neuron. 2014 Jul 2;83(1):238-51. doi: 10.1016/j.neuron.2014.05.014.
9
A Brain-Wide Study of Age-Related Changes in Functional Connectivity.
Cereb Cortex. 2015 Jul;25(7):1987-99. doi: 10.1093/cercor/bhu012. Epub 2014 Feb 13.
10
Flexible connectivity in the aging brain revealed by task modulations.
Hum Brain Mapp. 2014 Aug;35(8):3788-804. doi: 10.1002/hbm.22437. Epub 2013 Dec 31.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验