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Brain development in childhood.

作者信息

Taki Yasuyuki, Kawashima Ryuta

机构信息

Division of Meidcal Image Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai 980-8575, Japan ; Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan ; Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan.

出版信息

Open Neuroimag J. 2012;6:103-10. doi: 10.2174/1874440001206010103. Epub 2012 Nov 14.

DOI:10.2174/1874440001206010103
PMID:23166579
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3499734/
Abstract

Although human brain development continues throughout childhood and adolescence, it is a non-linear process both structurally and functionally. Here we review studies of brain development in healthy children from the viewpoint of structure and the perfusion of gray and white matter. Gray matter volume increases and then decreases with age, with the developmental time of the peak volume differing among brain regions in the first and second decades of life. On the other hand, white matter volume increase is mostly linear during those periods. As regards fractional anisotropy, most regions show an exponential trajectory with aging. In addition, cerebral blood flow and gray matter volume are proportional at similar developmental ages. Moreover, we show that several lifestyle choices, such as sleeping habits and breakfast staple, affect gray matter volume in healthy children. There are a number of uninvestigated important issues that require future study.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa81/3499734/c934c086d6e9/TONIJ-6-103_F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa81/3499734/d8b3718ef3bc/TONIJ-6-103_F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa81/3499734/68038757aa55/TONIJ-6-103_F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa81/3499734/c934c086d6e9/TONIJ-6-103_F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa81/3499734/d8b3718ef3bc/TONIJ-6-103_F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa81/3499734/68038757aa55/TONIJ-6-103_F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa81/3499734/c934c086d6e9/TONIJ-6-103_F3.jpg

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本文引用的文献

1
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Hum Brain Mapp. 2013 Aug;34(8):1857-71. doi: 10.1002/hbm.22033. Epub 2012 Apr 16.
2
Linear and curvilinear correlations of brain white matter volume, fractional anisotropy, and mean diffusivity with age using voxel-based and region-of-interest analyses in 246 healthy children.246 名健康儿童基于体素和感兴趣区分析的脑白质体积、各向异性分数和平均弥散率与年龄的线性和曲线相关性。
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新冠疫情对学龄前儿童福祉的影响:家长指南
Heliyon. 2023 Apr;9(4):e14332. doi: 10.1016/j.heliyon.2023.e14332. Epub 2023 Mar 21.
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Sex-Based Differences in Cortical and Subcortical Development in 436 Individuals Aged 4-54 Years.436 名 4-54 岁个体的皮质和皮质下发育中的性别差异。
Cereb Cortex. 2020 May 14;30(5):2854-2866. doi: 10.1093/cercor/bhz279.
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AJNR Am J Neuroradiol. 2014 Mar;35(3):593-8. doi: 10.3174/ajnr.A3728. Epub 2013 Oct 3.
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J Neurosci. 2011 Jul 27;31(30):10937-47. doi: 10.1523/JNEUROSCI.5302-10.2011.
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Proc Natl Acad Sci U S A. 2011 Feb 15;108(7):3017-22. doi: 10.1073/pnas.1015950108. Epub 2011 Jan 31.
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Correlation between gray matter density-adjusted brain perfusion and age using brain MR images of 202 healthy children.基于 202 例健康儿童的脑 MRI 图像,探讨灰质密度校正脑灌注与年龄的相关性。
Hum Brain Mapp. 2011 Nov;32(11):1973-85. doi: 10.1002/hbm.21163. Epub 2011 Jan 21.
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