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观察处于“静息”状态的胎儿大脑。

Watching the fetal brain at 'rest'.

作者信息

Schöpf V, Kasprian G, Brugger P C, Prayer D

机构信息

Department of Radiology, Division of Neuro- and Musculoskeletal Radiology, Medical University of Vienna, Austria.

出版信息

Int J Dev Neurosci. 2012 Feb;30(1):11-7. doi: 10.1016/j.ijdevneu.2011.10.006. Epub 2011 Oct 26.

DOI:10.1016/j.ijdevneu.2011.10.006
PMID:22044604
Abstract

Functional magnetic resonance imaging (fMRI) has allowed insights into the spatiotemporal distribution of human brain networks. According to the neurophysiological property of the fetal brain to generate spontaneous activity, we aimed to determine the feasibility of investigating the maturation of intrinsic networks, beginning at gestational week 20 in healthy human fetuses by combining resting-state fMRI and an analytical approach, independent component analysis (ICA). In this study, functional images of 16 fetuses with morphologically normal brain development, from 20 to 36 gestational weeks of age, were acquired on a 1.5T unit (Philips Medical Systems, Best, The Netherlands) using single-shot, gradient-recalled echo-planar imaging. After preprocessing (motion correction, brain extraction), images were analyzed using single-subject ICA. We visualized a bilateral occipital network and medial and lateral prefrontal activity pattern that involved the future Brodmann areas 9-11. Furthermore, there was one either predominantly right (3/7 cases) or left (4/7 cases) hemispheric lateralized network that involved the superior temporal cortical regions (Brodmann areas 22 and 39). Frequency oscillations were in the range of 0.01-0.06Hz for all networks. This study shows that resting-state networks (RSNs) are shaped and are detectable in utero. Further investigations of resting-state measurements in the fetus may therefore allow developmental brain activity monitoring and may provide insights into early brain function.

摘要

功能磁共振成像(fMRI)使人们能够深入了解人类大脑网络的时空分布。根据胎儿大脑产生自发活动的神经生理特性,我们旨在通过结合静息态fMRI和一种分析方法——独立成分分析(ICA),来确定从妊娠20周开始研究健康人类胎儿内在网络成熟度的可行性。在本研究中,对16名脑形态发育正常、胎龄为20至36周的胎儿,使用单次激发梯度回波平面成像,在1.5T设备(荷兰贝斯特的飞利浦医疗系统公司)上采集功能图像。经过预处理(运动校正、脑提取)后,使用单受试者ICA对图像进行分析。我们可视化了一个双侧枕叶网络以及涉及未来布罗德曼9至11区的内侧和外侧前额叶活动模式。此外,有一个半球优势网络,主要为右侧(3/7例)或左侧(4/7例),涉及颞上皮质区域(布罗德曼22区和39区)。所有网络的频率振荡范围为0.01 - 0.06Hz。本研究表明,静息态网络(RSNs)在子宫内就已形成且可被检测到。因此,对胎儿静息态测量的进一步研究可能有助于监测发育中的大脑活动,并可能为早期脑功能提供见解。

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