Buckner Randy L, Vincent Justin L
Department of Psychology, Center for Brain Science, Harvard University, and Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Cambridge 02138, USA.
Neuroimage. 2007 Oct 1;37(4):1091-6; discussion 1097-9. doi: 10.1016/j.neuroimage.2007.01.010. Epub 2007 Jan 25.
A series of recent empirical observations demonstrate structured activity patterns that exist during passive task states. One observation is that a network of regions, referred to as the default network, shows preferentially greater activity during passive task states as compared to a wide range of active tasks. The second observation is that distributed regions spontaneously increase and decrease their activity together within functional-anatomic networks, even under anesthesia. We believe these rest activity patterns may reflect neural functions that consolidate the past, stabilize brain ensembles, and prepare us for the future. Accumulating data further suggest that differences in rest activity may be relevant to understanding clinical conditions such as Alzheimer's disease and autism. Maps of spontaneous network correlations also provide tools for functional localization and study of comparative anatomy between primate species. For all of these reasons, we advocate the systematic exploration of rest activity.
最近的一系列实证观察表明,在被动任务状态下存在结构化的活动模式。一个观察结果是,一个被称为默认网络的区域网络,与广泛的主动任务相比,在被动任务状态下表现出优先更高的活动。第二个观察结果是,即使在麻醉状态下,分布式区域也会在功能 - 解剖网络中一起自发地增加和减少它们的活动。我们认为这些静息 - 活动模式可能反映了巩固过去、稳定脑组构以及为未来做准备的神经功能。越来越多的数据进一步表明,静息 - 活动的差异可能与理解诸如阿尔茨海默病和自闭症等临床病症有关。自发网络相关性图谱也为功能定位和灵长类物种间比较解剖学研究提供了工具。基于所有这些原因,我们主张对静息 - 活动进行系统探索。