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本文引用的文献

1
Structural MRI of pediatric brain development: what have we learned and where are we going?儿童脑发育的结构 MRI:我们学到了什么,我们的方向在哪里?
Neuron. 2010 Sep 9;67(5):728-34. doi: 10.1016/j.neuron.2010.08.040.
2
Mapping primary gyrogenesis during fetal development in primate brains: high-resolution in utero structural MRI of fetal brain development in pregnant baboons.绘制灵长类动物大脑胎儿发育过程中的原发性神经发生:怀孕狒狒胎儿大脑发育的高分辨率子宫内结构磁共振成像
Front Neurosci. 2010 May 10;4:20. doi: 10.3389/fnins.2010.00020. eCollection 2010.
3
On the genetic architecture of cortical folding and brain volume in primates.灵长类动物皮质折叠和脑容量的遗传结构。
Neuroimage. 2010 Nov 15;53(3):1103-8. doi: 10.1016/j.neuroimage.2010.02.020. Epub 2010 Feb 20.
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Cortical anatomy in human X monosomy.人类 X 单体性的皮质解剖结构。
Neuroimage. 2010 Feb 15;49(4):2915-23. doi: 10.1016/j.neuroimage.2009.11.057. Epub 2009 Dec 4.
5
Neuroscience in the era of functional genomics and systems biology.功能基因组学与系统生物学时代的神经科学
Nature. 2009 Oct 15;461(7266):908-15. doi: 10.1038/nature08537.
6
Cortical anatomy in autism spectrum disorder: an in vivo MRI study on the effect of age.自闭症谱系障碍的皮质解剖结构:一项关于年龄影响的活体 MRI 研究。
Cereb Cortex. 2010 Jun;20(6):1332-40. doi: 10.1093/cercor/bhp198. Epub 2009 Oct 9.
7
Heterogeneity in subcortical brain development: A structural magnetic resonance imaging study of brain maturation from 8 to 30 years.皮层下脑发育的异质性:一项关于8至30岁脑成熟度的结构磁共振成像研究。
J Neurosci. 2009 Sep 23;29(38):11772-82. doi: 10.1523/JNEUROSCI.1242-09.2009.
8
A common MECP2 haplotype associates with reduced cortical surface area in humans in two independent populations.一种常见的MECP2单倍型在两个独立人群中与人类大脑皮质表面积减小相关。
Proc Natl Acad Sci U S A. 2009 Sep 8;106(36):15483-8. doi: 10.1073/pnas.0901866106. Epub 2009 Aug 26.
9
Morphological alterations in the congenital blind based on the analysis of cortical thickness and surface area.基于皮层厚度和表面积分析的先天性盲人的形态学改变。
Neuroimage. 2009 Aug 1;47(1):98-106. doi: 10.1016/j.neuroimage.2009.03.076. Epub 2009 Apr 8.
10
Distinct genetic influences on cortical surface area and cortical thickness.大脑皮质表面积和皮质厚度存在不同的遗传影响。
Cereb Cortex. 2009 Nov;19(11):2728-35. doi: 10.1093/cercor/bhp026. Epub 2009 Mar 18.

你的大脑皮层是如何生长的?

How does your cortex grow?

机构信息

Child Psychiatry Branch, National Institute of Mental Health, Bethesda, Maryland 20892, USA.

出版信息

J Neurosci. 2011 May 11;31(19):7174-7. doi: 10.1523/JNEUROSCI.0054-11.2011.

DOI:10.1523/JNEUROSCI.0054-11.2011
PMID:21562281
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3157294/
Abstract

Understanding human cortical maturation is a central goal for developmental neuroscience. Significant advances toward this goal have come from two recent strands of in vivo structural magnetic resonance imaging research: (1) longitudinal study designs have revealed that factors such as sex, cognitive ability, and disease are often better related to variations in the tempo of anatomical change than to variations in anatomy at any one time point; (2) largely cross-sectional applications of new surface-based morphometry (SBM) methods have shown how the traditional focus on cortical volume (CV) can obscure information about the two evolutionarily and genetically distinct determinants of CV: cortical thickness (CT) and surface area (SA). Here, by combining these two strategies for the first time and applying SBM in >1250 longitudinally acquired brain scans from 647 healthy individuals aged 3-30 years, we deconstruct cortical development to reveal that distinct trajectories of anatomical change are hidden within, and give rise to, a curvilinear pattern of CV maturation. Developmental changes in CV emerge through the sexually dimorphic and age-dependent interaction of changes in CT and SA. Moreover, SA change itself actually reflects complex interactions between brain size-related changes in exposed cortical convex hull area, and changes in the degree of cortical gyrification, which again vary by age and sex. Knowing of these developmental dissociations, and further specifying their timing and sex-biases, provides potent new research targets for basic and clinical neuroscience.

摘要

理解人类皮质成熟是发展神经科学的一个核心目标。最近两项活体结构磁共振成像研究为实现这一目标提供了重要进展:(1)纵向研究设计表明,性别、认知能力和疾病等因素通常与解剖变化速度的变化更为相关,而不是与任何一个时间点的解剖变化更为相关;(2)新的基于表面形态计量学(SBM)方法的广泛横截面应用表明,传统上对皮质体积(CV)的关注如何掩盖了关于 CV 的两个进化和遗传上不同决定因素的信息:皮质厚度(CT)和表面积(SA)。在这里,我们首次将这两种策略结合起来,并在 647 名年龄在 3 至 30 岁的健康个体的 1250 多次纵向获得的脑扫描中应用 SBM,我们对皮质发育进行了解构,揭示了 CV 成熟的曲线模式中隐藏着并产生了不同的解剖变化轨迹。CV 的发育变化是通过 CT 和 SA 的性别二态性和年龄依赖性变化相互作用而出现的。此外,SA 的变化本身实际上反映了暴露的皮质凸壳区域的脑大小相关变化与皮质回旋度变化之间的复杂相互作用,而这些变化又因年龄和性别而异。了解这些发育差异,并进一步确定其时间和性别偏见,为基础和临床神经科学提供了新的研究目标。