Long Xiang-Yu, Zuo Xi-Nian, Kiviniemi Vesa, Yang Yihong, Zou Qi-Hong, Zhu Chao-Zhe, Jiang Tian-Zi, Yang Hong, Gong Qi-Yong, Wang Liang, Li Kun-Cheng, Xie Sheng, Zang Yu-Feng
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
J Neurosci Methods. 2008 Jun 30;171(2):349-55. doi: 10.1016/j.jneumeth.2008.03.021. Epub 2008 Apr 10.
Recently, human brain activity during a resting-state has attracted increasing attention. Several studies have found that there are two networks: the default mode network and its anti-correlation network. Some studies have subsequently showed that the functions of brain areas within the default mode network are crucial in human mental activity. To further discern the brain default mode network as well as its anti-correlation network during resting-state, we used three methods to analyze resting-state functional magnetic resonance imaging (fMRI) data; regional homogeneity analysis, linear correlation and independent component analysis, on four groups of dataset. Our results showed the existence of these two networks prominently and consistently during a resting- and conscious-state across the three methods. This consistency was exhibited in four independent groups of normal adults. Moreover, the current results provided evidences that the brain areas within the two anti-correlated networks are highly integrated at both the intra- and inter-regional level.
最近，静息状态下的人类大脑活动受到了越来越多的关注。几项研究发现存在两个网络：默认模式网络及其反相关网络。随后一些研究表明，默认模式网络内脑区的功能在人类心理活动中至关重要。为了进一步识别静息状态下的大脑默认模式网络及其反相关网络，我们使用三种方法对四组数据集的静息态功能磁共振成像（fMRI）数据进行分析；局部一致性分析、线性相关性分析和独立成分分析。我们的结果表明，在静息和清醒状态下，通过这三种方法都能显著且一致地观察到这两个网络的存在。这种一致性在四组独立的正常成年人中都有体现。此外，当前结果提供了证据，表明两个反相关网络内的脑区在区域内和区域间水平上都高度整合。
