Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Athinioula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Neurosci Lett. 2014 May 1;567:68-73. doi: 10.1016/j.neulet.2014.03.050. Epub 2014 Mar 31.
A long-standing difficulty in brain research has been to disentangle how information flows across circuits composed by multiple local and distant cerebral areas. At the large-scale level, several brain imaging methods have contributed to the understanding of those circuits by capturing the covariance or coupling patterns of blood oxygen level-dependent (BOLD) activity between distributed brain regions. The hypothesis is that underlying information processes are closely associated to synchronized brain activity, and therefore to the functional connectivity structure of the human brain. In this study, we have used a recently developed method called stepwise functional connectivity analysis. Our results show that motor and visual connectivity merge in a multimodal integration network that links together perception, action and cognition in the human functional connectome.
长期以来,脑科学研究的一个难题是如何厘清由多个局部和远程脑区组成的回路中信息的流动。在宏观层面上,几种脑成像方法通过捕捉分布在大脑区域之间的血氧水平依赖(BOLD)活动的协方差或耦合模式,有助于理解这些回路。其假设是,潜在的信息过程与同步的大脑活动密切相关,因此与人类大脑的功能连接结构密切相关。在这项研究中,我们使用了一种名为逐步功能连接分析的新方法。我们的结果表明,运动和视觉连接在一个多模态整合网络中融合在一起,该网络将人类功能连接组中的感知、行动和认知联系在一起。