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区分患有脆性X综合征的男孩、发育正常的男孩以及1至3岁发育迟缓男孩的形态测量空间模式。

Morphometric spatial patterns differentiating boys with fragile X syndrome, typically developing boys, and developmentally delayed boys aged 1 to 3 years.

作者信息

Hoeft Fumiko, Lightbody Amy A, Hazlett Heather Cody, Patnaik Swetapadma, Piven Joseph, Reiss Allan L

机构信息

Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd, Stanford, CA 94305-5795, USA.

出版信息

Arch Gen Psychiatry. 2008 Sep;65(9):1087-97. doi: 10.1001/archpsyc.65.9.1087.

Abstract

CONTEXT

Brain maturation starts well before birth and occurs as a unified process with developmental interaction among different brain regions. Gene and environment play large roles in such a process. Studies of individuals with genetic disorders such as fragile X syndrome (FXS), which is a disorder caused by a single gene mutation resulting in abnormal dendritic and synaptic pruning, together with healthy individuals may provide valuable information.

OBJECTIVE

To examine morphometric spatial patterns that differentiate between FXS and controls in early childhood.

DESIGN

A cross-sectional in vivo neuroimaging study.

SETTING

Academic medical centers.

PARTICIPANTS

A total of 101 children aged 1 to 3 years, comprising 51 boys with FXS, 32 typically developing boys, and 18 boys with idiopathic developmental delay.

MAIN OUTCOME MEASURES

Regional gray matter volume as measured by voxel-based morphometry and manual tracing, supplemented by permutation analyses; regression analyses between gray and white matter volumes, IQ, and fragile X mental retardation protein level; and linear support vector machine analyses to classify group membership.

RESULTS

In addition to aberrant brain structures reported previously in older individuals with FXS, we found reduced gray matter volumes in regions such as the hypothalamus, insula, and medial and lateral prefrontal cortices. These findings are consistent with the cognitive and behavioral phenotypes of FXS. Further, multivariate pattern classification analyses discriminated FXS from typical development and developmental delay with more than 90% prediction accuracy. The spatial patterns that classified FXS from typical development and developmental delay included those that may have been difficult to identify previously using other methods. These included a medial to lateral gradient of increased and decreased regional brain volumes in the posterior vermis, amygdala, and hippocampus.

CONCLUSIONS

These findings are critical in understanding interplay among genes, environment, brain, and behavior. They signify the importance of examining detailed spatial patterns of healthy and perturbed brain development.

摘要

背景

大脑成熟在出生前就已开始,并作为一个统一的过程发生,不同脑区之间存在发育相互作用。基因和环境在这一过程中发挥着重要作用。对患有脆性X综合征(FXS)等遗传疾病的个体(FXS是一种由单基因突变导致树突和突触修剪异常的疾病)以及健康个体进行研究,可能会提供有价值的信息。

目的

研究幼儿期区分FXS与对照组的形态学空间模式。

设计

一项横断面活体神经影像学研究。

地点

学术医疗中心。

参与者

共101名1至3岁儿童,包括51名患有FXS的男孩、32名发育正常的男孩和18名患有特发性发育迟缓的男孩。

主要观察指标

通过基于体素的形态学测量和手工追踪测量区域灰质体积,并辅以置换分析;灰质和白质体积、智商以及脆性X智力低下蛋白水平之间的回归分析;以及用于分类组成员身份的线性支持向量机分析。

结果

除了之前在年龄较大的FXS个体中报道的异常脑结构外,我们还发现下丘脑、岛叶以及内侧和外侧前额叶皮质等区域的灰质体积减少。这些发现与FXS的认知和行为表型一致。此外,多变量模式分类分析以超过90%的预测准确率区分了FXS与典型发育和发育迟缓。将FXS与典型发育和发育迟缓区分开来的空间模式包括那些以前使用其他方法可能难以识别的模式。这些模式包括在后蚓部、杏仁核和海马体中区域脑体积增加和减少的从内侧到外侧的梯度。

结论

这些发现对于理解基因、环境、大脑和行为之间的相互作用至关重要。它们表明了检查健康和受干扰的大脑发育详细空间模式的重要性。

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本文引用的文献

3
Automatic segmentation of the caudate nucleus from human brain MR images.
IEEE Trans Med Imaging. 2007 Apr;26(4):509-17. doi: 10.1109/TMI.2006.891481.
4
Reading hidden intentions in the human brain.
Curr Biol. 2007 Feb 20;17(4):323-8. doi: 10.1016/j.cub.2006.11.072. Epub 2007 Feb 8.
5
3D pattern of brain abnormalities in Fragile X syndrome visualized using tensor-based morphometry.
Neuroimage. 2007 Feb 1;34(3):924-38. doi: 10.1016/j.neuroimage.2006.09.043. Epub 2006 Dec 8.
6
The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMRI data.
Neuroimage. 2006 Dec;33(4):1055-65. doi: 10.1016/j.neuroimage.2006.08.016. Epub 2006 Sep 28.
7
Fragile X syndrome and autism at the intersection of genetic and neural networks.
Nat Neurosci. 2006 Oct;9(10):1221-5. doi: 10.1038/nn1765.
8
Decoding mental states from brain activity in humans.
Nat Rev Neurosci. 2006 Jul;7(7):523-34. doi: 10.1038/nrn1931.
9
Intellectual ability and cortical development in children and adolescents.
Nature. 2006 Mar 30;440(7084):676-9. doi: 10.1038/nature04513.
10
Mapping brain maturation.
Trends Neurosci. 2006 Mar;29(3):148-59. doi: 10.1016/j.tins.2006.01.007. Epub 2006 Feb 10.

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