Laboratoire de neurosciences cognitives, Département d'études cognitives, École normale supérieure, INSERM, PSL Research University, Paris, France.
Fondation Campus Biotech Geneva, Geneva, Switzerland.
Elife. 2018 Mar 21;7:e33321. doi: 10.7554/eLife.33321.
Resting-state networks offer a unique window into the brain's functional architecture, but their characterization remains limited to instantaneous connectivity thus far. Here, we describe a novel resting-state network based on the delayed connectivity between the brain and the slow electrical rhythm (0.05 Hz) generated in the stomach. The gastric network cuts across classical resting-state networks with partial overlap with autonomic regulation areas. This network is composed of regions with convergent functional properties involved in mapping bodily space through touch, action or vision, as well as mapping external space in bodily coordinates. The network is characterized by a precise temporal sequence of activations within a gastric cycle, beginning with somato-motor cortices and ending with the extrastriate body area and dorsal precuneus. Our results demonstrate that canonical resting-state networks based on instantaneous connectivity represent only one of the possible partitions of the brain into coherent networks based on temporal dynamics.
静息态网络为研究大脑的功能架构提供了一个独特的窗口，但迄今为止，它们的特征仍然仅限于瞬时连接。在这里，我们描述了一种新的基于大脑与胃中产生的缓慢电节律（0.05 Hz）之间延迟连接的静息态网络。胃网络与经典静息态网络交叉，与自主调节区域部分重叠。该网络由具有收敛性功能特性的区域组成，这些区域通过触摸、动作或视觉来映射身体空间，并以身体坐标映射外部空间。该网络的特征是在胃周期内精确的激活时间序列，从躯体运动皮层开始，以顶外纹状体区和背侧楔前叶结束。我们的结果表明，基于瞬时连接的经典静息态网络仅代表基于时间动态将大脑划分为连贯网络的一种可能分区。
