Suppr超能文献

健康老年人大脑皮层功能组织的纵向变化。

Longitudinal Changes in the Cerebral Cortex Functional Organization of Healthy Elderly.

机构信息

Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Programme, Duke-National University of Singapore Medical School, Singapore 169857, and.

Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Programme, Duke-National University of Singapore Medical School, Singapore 169857, and

出版信息

J Neurosci. 2019 Jul 10;39(28):5534-5550. doi: 10.1523/JNEUROSCI.1451-18.2019. Epub 2019 May 20.

Abstract

Healthy aging is accompanied by disruptions in the functional modular organization of the human brain. Cross-sectional studies have shown age-related reductions in the functional segregation and distinctiveness of brain networks. However, less is known about the longitudinal changes in brain functional modular organization and their associations with aging-related cognitive decline. We examined age- and aging-related changes in functional architecture of the cerebral cortex using a dataset comprising a cross-sectional healthy young cohort of 57 individuals (mean ± SD age, 23.71 ± 3.61 years, 22 males) and a longitudinal healthy elderly cohort of 72 individuals (mean ± baseline age, 68.22 ± 5.80 years, 39 males) with 2-3 time points (18-24 months apart) of task-free fMRI data. We found both cross-sectional (elderly vs young) and longitudinal (in elderly) global decreases in network segregation (decreased local efficiency), integration (decreased global efficiency), and module distinctiveness (increased participation coefficient and decreased system segregation). At the modular level, whereas cross-sectional analyses revealed higher participation coefficient across all modules in the elderly compared with young participants, longitudinal analyses revealed focal longitudinal participation coefficient increases in three higher-order cognitive modules: control network, default mode network, and salience/ventral attention network. Cross-sectionally, elderly participants also showed worse attention performance with lower local efficiency and higher mean participation coefficient, and worse global cognitive performance with higher participation coefficient in the dorsal attention/control network. These findings suggest that healthy aging is associated with whole-brain connectome-wide changes in the functional modular organization of the brain, accompanied by loss of functional segregation, particularly in higher-order cognitive networks. Cross-sectional studies have demonstrated age-related reductions in the functional segregation and distinctiveness of brain networks. However, longitudinal aging-related changes in brain functional modular architecture and their links to cognitive decline remain relatively understudied. Using graph theoretical and community detection approaches to study task-free functional network changes in a cross-sectional young and longitudinal healthy elderly cohort, we showed that aging was associated with global declines in network segregation, integration, and module distinctiveness, and specific declines in distinctiveness of higher-order cognitive networks. Further, such functional network deterioration was associated with poorer cognitive performance cross-sectionally. Our findings suggest that healthy aging is associated with system-level changes in brain functional modular organization, accompanied by functional segregation loss particularly in higher-order networks specialized for cognition.

摘要

健康的衰老伴随着人类大脑功能模块化组织的紊乱。横断面研究表明,随着年龄的增长,大脑网络的功能分离和独特性会降低。然而,关于大脑功能模块化组织的纵向变化及其与衰老相关认知能力下降的关系,我们知之甚少。我们使用包含横断面健康年轻队列(57 人,平均年龄±标准差为 23.71±3.61 岁,22 名男性)和纵向健康老年队列(72 人,平均基线年龄±标准差为 68.22±5.80 岁,39 名男性)的数据集,使用任务态 fMRI 数据进行了 2-3 次(相隔 18-24 个月)测量,研究了大脑皮层的功能结构的年龄和衰老相关变化。我们发现,无论是横断面(老年人与年轻人)还是纵向(老年人),网络分离(局部效率降低)、整合(全局效率降低)和模块独特性(参与系数增加,系统分离降低)都呈全球性降低。在模块化水平上,虽然横断面分析显示老年人的所有模块的参与系数都高于年轻人,但纵向分析显示,在三个高级认知模块中,控制网络、默认模式网络和突显/腹侧注意网络的焦点纵向参与系数增加。在横断面研究中,老年人的注意力表现也较差,表现为局部效率较低,平均参与系数较高,而在背侧注意/控制网络中的参与系数较高,整体认知表现也较差。这些发现表明,健康的衰老与大脑功能模块化组织的全脑连接组学变化有关,同时伴随着功能分离的丧失,特别是在高级认知网络中。横断面研究已经证明,随着年龄的增长,大脑网络的功能分离和独特性会降低。然而,大脑功能模块化结构的纵向衰老相关变化及其与认知能力下降的关系仍然相对研究不足。我们使用图论和社区检测方法,对横断面年轻队列和纵向健康老年队列的任务态功能网络变化进行研究,结果表明,衰老与网络分离、整合和模块独特性的整体下降以及高级认知网络独特性的特定下降有关。此外,这种功能网络的恶化与横断面较差的认知表现有关。我们的研究结果表明,健康的衰老与大脑功能模块化组织的系统水平变化有关,伴随着功能分离的丧失,特别是在专门用于认知的高级网络中。

相似文献

1
Longitudinal Changes in the Cerebral Cortex Functional Organization of Healthy Elderly.
J Neurosci. 2019 Jul 10;39(28):5534-5550. doi: 10.1523/JNEUROSCI.1451-18.2019. Epub 2019 May 20.
2
Longitudinal functional brain network reconfiguration in healthy aging.
Hum Brain Mapp. 2020 Dec;41(17):4829-4845. doi: 10.1002/hbm.25161. Epub 2020 Aug 28.
3
Distinct network topology in Alzheimer's disease and behavioral variant frontotemporal dementia.
Alzheimers Res Ther. 2021 Jan 6;13(1):13. doi: 10.1186/s13195-020-00752-w.
4
Functional segregation loss over time is moderated by APOE genotype in healthy elderly.
Hum Brain Mapp. 2018 Jul;39(7):2742-2752. doi: 10.1002/hbm.24036. Epub 2018 Mar 8.
7
Age-related alterations in the modular organization of structural cortical network by using cortical thickness from MRI.
Neuroimage. 2011 May 1;56(1):235-45. doi: 10.1016/j.neuroimage.2011.01.010. Epub 2011 Jan 14.
8
Functional dedifferentiation of associative resting state networks in older adults - A longitudinal study.
Neuroimage. 2020 Jul 1;214:116680. doi: 10.1016/j.neuroimage.2020.116680. Epub 2020 Feb 24.
9
Dissociable Effects of Alzheimer's Disease-Related Cognitive Dysfunction and Aging on Functional Brain Network Segregation.
J Neurosci. 2023 Nov 15;43(46):7879-7892. doi: 10.1523/JNEUROSCI.0579-23.2023. Epub 2023 Sep 15.

引用本文的文献

1
Resting-state functional network segregation of the default mode network predicts valence bias across the lifespan.
Imaging Neurosci (Camb). 2024 Dec 19;2. doi: 10.1162/imag_a_00403. eCollection 2024.
2
Influence of atlas-choice on age and time effects in large-scale brain networks in the context of healthy aging.
Imaging Neurosci (Camb). 2024 Apr 8;2. doi: 10.1162/imag_a_00127. eCollection 2024.
5
Age- and Sex-Specific Patterns in Adult Brain Network Segregation.
Hum Brain Mapp. 2025 Mar;46(4):e70169. doi: 10.1002/hbm.70169.
6
Impaired network organization in mild age-related hearing loss.
MedComm (2020). 2025 Jan 2;6(1):e70002. doi: 10.1002/mco2.70002. eCollection 2025 Jan.
7
Brain signaling becomes less integrated and more segregated with age.
Netw Neurosci. 2024 Dec 10;8(4):1051-1064. doi: 10.1162/netn_a_00389. eCollection 2024.
8
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.
9
Influence of individual's age on the characteristics of brain effective connectivity.
Geroscience. 2025 Apr;47(2):2455-2474. doi: 10.1007/s11357-024-01436-1. Epub 2024 Nov 16.

本文引用的文献

1
Functional Parcellation of the Cerebral Cortex Across the Human Adult Lifespan.
Cereb Cortex. 2018 Dec 1;28(12):4403-4423. doi: 10.1093/cercor/bhy218.
5
Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI.
Cereb Cortex. 2018 Sep 1;28(9):3095-3114. doi: 10.1093/cercor/bhx179.
6
Challenges in measuring individual differences in functional connectivity using fMRI: The case of healthy aging.
Hum Brain Mapp. 2017 Aug;38(8):4125-4156. doi: 10.1002/hbm.23653. Epub 2017 May 23.
7
Individual differences and time-varying features of modular brain architecture.
Neuroimage. 2017 May 15;152:94-107. doi: 10.1016/j.neuroimage.2017.02.066. Epub 2017 Feb 24.
8
Resting-State Network Topology Differentiates Task Signals across the Adult Life Span.
J Neurosci. 2017 Mar 8;37(10):2734-2745. doi: 10.1523/JNEUROSCI.2406-16.2017. Epub 2017 Feb 7.
9
Towards a consensus regarding global signal regression for resting state functional connectivity MRI.
Neuroimage. 2017 Jul 1;154:169-173. doi: 10.1016/j.neuroimage.2016.11.052. Epub 2016 Nov 22.
10
Longitudinal brain structure and cognitive changes over 8 years in an East Asian cohort.
Neuroimage. 2017 Feb 15;147:852-860. doi: 10.1016/j.neuroimage.2016.10.016. Epub 2016 Oct 11.

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