Riera Jorge J, Wan Xiaohong, Jimenez Juan Carlos, Kawashima Ryuta
Advanced Science and Technology of Materials, NICHe, Tohoku University, Sendai, Japan.
Hum Brain Mapp. 2006 Nov;27(11):896-914. doi: 10.1002/hbm.20230.
Here we present a detailed biophysical model of how brain electrical and vascular dynamics are generated within a basic cortical unit. The model was obtained from coupling a canonical neuronal mass and an expandable vasculature. In this proposal, we address several aspects related to electroencephalographic and functional magnetic resonance imaging data fusion: (1) the impact of the cerebral architecture (at different physical levels) on the observations; (2) the physiology involved in electrovascular coupling; and (3) energetic considerations to gain a better understanding of how the glucose budget is used during neuronal activity. The model has three components. The first is the canonical neural mass model of three subpopulations of neurons that respond to incoming excitatory synaptic inputs. The generation of the membrane potentials in the somas of these neurons and the electric currents flowing in the neuropil are modeled by this component. The second and third components model the electrovascular coupling and the dynamics of vascular states in an extended balloon approach, respectively. In the first part we describe, in some detail, the biophysical model and establish its face validity using simulations of visually evoked responses under different flickering frequencies and luminous contrasts. In a second part, a recursive optimization algorithm is developed and used to make statistical inferences about this forward/generative model from actual data.
在此，我们展示了一个详细的生物物理模型，该模型描述了在一个基本皮质单元内脑电和血管动力学是如何产生的。该模型通过耦合一个典型的神经元群体和一个可扩展的脉管系统获得。在本提议中，我们探讨了与脑电图和功能磁共振成像数据融合相关的几个方面：（1）大脑结构（在不同物理层面）对观测结果的影响；（2）电-血管耦合所涉及的生理学；（3）能量方面的考虑，以便更好地理解在神经元活动期间葡萄糖预算是如何被利用的。该模型有三个组成部分。第一个是由三个神经元亚群组成的典型神经群体模型，这些神经元对传入的兴奋性突触输入作出反应。该组件对这些神经元胞体中的膜电位生成以及在神经毡中流动的电流进行建模。第二和第三个组件分别以扩展气球模型方法对电-血管耦合和血管状态动力学进行建模。在第一部分中，我们详细描述了生物物理模型，并通过在不同闪烁频率和发光对比度下对视诱发反应的模拟来确定其表面效度。在第二部分中，开发了一种递归优化算法，并用于根据实际数据对这个正向/生成模型进行统计推断。
