Suppr超能文献

教育和年龄相关的皮质厚度和体积的差异贯穿整个生命周期。

Education and age-related differences in cortical thickness and volume across the lifespan.

机构信息

Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada.

出版信息

Neurobiol Aging. 2021 Jun;102:102-110. doi: 10.1016/j.neurobiolaging.2020.10.034. Epub 2020 Nov 17.

Abstract

This study investigated whether relationships between age and measures of gray matter in the brain differed across the lifespan and by years of education. The hypothesis is that year to year differences in brain measures vary across the lifespan and are affected by the years of education someone has. Cortical thickness and subcortical volume were measured from 391 healthy adults (age range: 19-80 years). Brain measures were predicted using a quadratic age effect and moderating effects of education using linear regression. Results demonstrate that 12 brain regions had significant moderating effects of age and education on brain measures. These are brain regions where the effect of age on gray matter varied across the lifespan and across levels of education. The results highlighted that when the moderating effects of education are absent from the model, age and brain measures were linearly related. The moderating effects reveal complex age-brain dynamics and support theories of brain maintenance, suggesting that lifestyle factors limit the negative effects of advancing age. Greater education was related to maintained gray matter until later ages. This protection came at a cost, which indicated that year to year decline in gray matter was larger in late life in those with greater levels of education. Improving our understanding of how age and individual differences affect gray matter measures is an important step toward improving the clinical utility of cortical thickness and volume. This article is part of the Virtual Special Issue titled "COGNITIVE NEUROSCIENCE OF HEALTHY AND PATHOLOGICAL AGING". The full issue can be found on ScienceDirect at https://www.sciencedirect.com/journal/neurobiology-of-aging/special-issue/105379XPWJP.

摘要

本研究旨在探究大脑灰质的年龄相关性测量指标在整个生命周期中是否因受教育年限的不同而存在差异。该研究假设,大脑测量指标的逐年差异在整个生命周期中存在差异,并受受教育年限的影响。本研究从 391 名健康成年人(年龄范围:19-80 岁)中测量了皮质厚度和皮质下体积。使用二次年龄效应和线性回归的教育调节效应预测了大脑测量指标。结果表明,有 12 个大脑区域的年龄和教育对大脑测量指标具有显著的调节作用。这些大脑区域的灰质年龄效应在整个生命周期和不同教育水平中存在差异。结果表明,当模型中不存在教育的调节作用时,年龄和大脑测量指标呈线性相关。这些调节作用揭示了复杂的年龄与大脑动态关系,并支持大脑维持理论,表明生活方式因素限制了年龄增长的负面影响。较高的教育程度与保持灰质有关,直到较晚的年龄。这种保护是有代价的,这表明在受教育程度较高的人群中,晚年大脑灰质的逐年下降幅度更大。提高我们对年龄和个体差异如何影响灰质测量指标的理解,是提高皮质厚度和体积临床实用性的重要一步。本文是题为“健康和病理性衰老的认知神经科学”的虚拟特刊的一部分,完整特刊可在 ScienceDirect 上找到:https://www.sciencedirect.com/journal/neurobiology-of-aging/special-issue/105379XPWJP。

相似文献

1
Education and age-related differences in cortical thickness and volume across the lifespan.
Neurobiol Aging. 2021 Jun;102:102-110. doi: 10.1016/j.neurobiolaging.2020.10.034. Epub 2020 Nov 17.
2
Hippocampal shape across the healthy lifespan and its relationship with cognition.
Neurobiol Aging. 2021 Oct;106:153-168. doi: 10.1016/j.neurobiolaging.2021.03.018. Epub 2021 Apr 24.
3
Different reserve proxies confer overlapping and unique endurance to cortical thinning in healthy middle-aged adults.
Behav Brain Res. 2016 Sep 15;311:375-383. doi: 10.1016/j.bbr.2016.05.061. Epub 2016 Jun 1.
5
Specific and general relationships between cortical thickness and cognition in older adults: a longitudinal study.
Neurobiol Aging. 2021 Jun;102:89-101. doi: 10.1016/j.neurobiolaging.2020.11.004. Epub 2020 Nov 11.
6
Differences between chronological and brain age are related to education and self-reported physical activity.
Neurobiol Aging. 2016 Apr;40:138-144. doi: 10.1016/j.neurobiolaging.2016.01.014. Epub 2016 Feb 1.
7
Evolution of deep gray matter volume across the human lifespan.
Hum Brain Mapp. 2017 Aug;38(8):3771-3790. doi: 10.1002/hbm.23604. Epub 2017 May 26.
8
Age and pain differences in non-verbal fluency performance: Associations with cortical thickness and subcortical volumes.
Exp Gerontol. 2019 Oct 15;126:110708. doi: 10.1016/j.exger.2019.110708. Epub 2019 Aug 21.
9
10
Accelerated longitudinal gray/white matter contrast decline in aging in lightly myelinated cortical regions.
Hum Brain Mapp. 2016 Oct;37(10):3669-84. doi: 10.1002/hbm.23267. Epub 2016 May 26.

引用本文的文献

2
Investigating dynamic brain functional redundancy as a mechanism of cognitive reserve.
Front Aging Neurosci. 2025 Feb 4;17:1535657. doi: 10.3389/fnagi.2025.1535657. eCollection 2025.
3
Associations of cardiorespiratory fitness with cerebral cortical thickness and gray matter volume across the adult lifespan.
J Appl Physiol (1985). 2025 Feb 1;138(2):473-482. doi: 10.1152/japplphysiol.00429.2024. Epub 2025 Jan 16.
5
Multiple socioeconomic risks and cognitive impairment among older men and women in India.
Dialogues Health. 2023 Feb 26;2:100119. doi: 10.1016/j.dialog.2023.100119. eCollection 2023 Dec.
8
Superficial white matter across development, young adulthood, and aging: volume, thickness, and relationship with cortical features.
Brain Struct Funct. 2023 May;228(3-4):1019-1031. doi: 10.1007/s00429-023-02642-x. Epub 2023 Apr 19.
9
Childhood maltreatment is associated with cortical thinning in people with eating disorders.
Eur Arch Psychiatry Clin Neurosci. 2023 Mar;273(2):459-466. doi: 10.1007/s00406-022-01456-y. Epub 2022 Jul 19.

本文引用的文献

2
The positive impacts of early-life education on cognition, leisure activity, and brain structure in healthy aging.
Aging (Albany NY). 2019 Jul 17;11(14):4923-4942. doi: 10.18632/aging.102088.
3
Cognitive reserve and clinical progression in Alzheimer disease: A paradoxical relationship.
Neurology. 2019 Jul 23;93(4):e334-e346. doi: 10.1212/WNL.0000000000007821. Epub 2019 Jul 2.
4
Influence of young adult cognitive ability and additional education on later-life cognition.
Proc Natl Acad Sci U S A. 2019 Feb 5;116(6):2021-2026. doi: 10.1073/pnas.1811537116. Epub 2019 Jan 22.
5
Age-Related Differences in Brain Morphology and the Modifiers in Middle-Aged and Older Adults.
Cereb Cortex. 2019 Sep 13;29(10):4169-4193. doi: 10.1093/cercor/bhy300.
6
Maintenance, reserve and compensation: the cognitive neuroscience of healthy ageing.
Nat Rev Neurosci. 2018 Nov;19(11):701-710. doi: 10.1038/s41583-018-0068-2.
7
Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study.
Front Aging Neurosci. 2018 Aug 22;10:252. doi: 10.3389/fnagi.2018.00252. eCollection 2018.
8
Factors influencing accuracy of cortical thickness in the diagnosis of Alzheimer's disease.
Hum Brain Mapp. 2018 Apr;39(4):1500-1515. doi: 10.1002/hbm.23922. Epub 2017 Dec 21.
9
Plasticity of the Right-Lateralized Cognitive Reserve Network in Ageing.
Cereb Cortex. 2018 May 1;28(5):1749-1759. doi: 10.1093/cercor/bhx085.
10
Associations between education and brain structure at age 73 years, adjusted for age 11 IQ.
Neurology. 2016 Oct 25;87(17):1820-1826. doi: 10.1212/WNL.0000000000003247. Epub 2016 Sep 24.

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