Gastric Electrical Slow Wave Functional MRI of the Human Brain

人脑的胃电慢波功能磁共振成像 “静息状态”功能磁共振成像(RsfMRI)是一种非侵入性的神经成像方法，它使用针对 监测任务诱发的脑活动变化(血氧水平)的血液动力学后遗症 依赖或大胆的任务功能磁共振成像)，以观察“休息”的大脑活动。由此得到的MRI数据显示了什么 通常被认为是内在大脑网络中的自发波动，允许研究功能 连通性。这些现象可能为临床人群提供新的生物标志物，如果它们能够被评估的话 不受其他MRI效应和生理现象的干扰。最近的一份报告综合了 同步体表胃电(EGG)和rsfMRI显示电慢波(正常胃 约20秒)，由胃中的Cajal间质细胞产生，似乎驱动 大脑“胃网”，包括躯体运动皮质、楔前背侧和纹状体外区。这 观察到重要的大脑活动并不是从起源于大脑的意义上说是自发的，而是 是由胃里的“起搏器”驱动的，可以用两种互补的方式来看待：要么是作为一种滋扰 混淆了rsfmri-建议建模和减少这些影响的目标-或者引入了一个新的 研究具体化大脑的技术--提出了利用这些效应的补充目标。 我们将追求三个目标：1.估计和减少慢胃节律对已建立的 RsfMRI指标。2.证明控制胃部状态--禁食与进食--是否可以减少 基于已建立的rsfmri指标的胃节律。3.描述胃节律和状态对胃运动的影响 胃网络和其他脑区。考虑到由基础胃节律驱动的大脑活动将 增强研究大脑内部网络自发波动的能力，方法是允许 对迄今无法解释的变异性进行建模。控制胃部状态有可能改善统计学 通过减少会话间和受试者间的差异来增强能力。表征胃节律和胃电节律的影响 大脑的状态将产生胃/大脑相互作用的新测量，这可能导致在 饮食失调，从厌食症到肥胖症。

Gastric Electrical Slow Wave Functional MRI of the Human Brain “Resting-state” fMRI (rsfMRI) is a noninvasive neuroimaging method that uses MRI acquisitions optimized for monitoring hemodynamic sequelae of task-evoked changes in brain activity (blood oxygenation level dependent or BOLD, task-fMRI) to observe activity in the brain “at rest”. The resulting MRI data manifest what are generally regarded as spontaneous fluctuations in intrinsic brain networks, allowing study of functional connectivity. Such phenomena may offer novel biomarkers for clinical populations, if they can be assessed without interference from other MRI effects and physiological phenomena. A recent report combining concurrent surface electrogastrography (EGG) and rsfMRI shows that the electrical slow wave (normogastric period of about 20 seconds), generated by interstitial cells of Cajal in the stomach, appears to drive activity in a brain “gastric network” including somato-motor cortices, dorsal precuneus, and the extrastriate body area. This observation that significant brain activity is not “spontaneous” in the sense of originating in the brain, but rather is driven by a “pacemaker” in the stomach, can be seen in two complementary ways: Either as a nuisance that confounds rsfMRI – suggesting the goal of modeling and reducing these effects – or as introducing a new technology for study of the embodied brain – suggesting the complementary goal of exploiting these effects. We will pursue three aims: 1. Estimate and reduce contributions of the slow gastric rhythm to established rsfMRI metrics. 2. Demonstrate whether controlling gastric state – fasted vs. fed – can reduce the impact of the gastric rhythm on established rsfMRI metrics. 3. Characterize the effects of gastric rhythm and state on the gastric network, and other brain regions. Accounting for brain activity driven by the basal gastric rhythm will enhance the ability to study spontaneous fluctuations in the brain's intrinsic networks, by allowing for the modeling of hitherto unexplained variability. Controlling gastric state has the potential to improve statistical power by reducing inter-session and inter-subject variance. Characterizing the effects of gastric rhythm and state on the brain will yield new measures of stomach/brain interactions, that could lead to novel studies in eating disorders ranging from anorexia to obesity.