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模拟大脑激活的血液动力学反应。

Modeling the hemodynamic response to brain activation.

作者信息

Buxton Richard B, Uludağ Kâmil, Dubowitz David J, Liu Thomas T

机构信息

Department of Radiology, 0677, and Center for Functional MRI, University of California-San Diego, La Jolla, CA 92093-0677, USA.

出版信息

Neuroimage. 2004;23 Suppl 1:S220-33. doi: 10.1016/j.neuroimage.2004.07.013.

Abstract

Neural activity in the brain is accompanied by changes in cerebral blood flow (CBF) and blood oxygenation that are detectable with functional magnetic resonance imaging (fMRI) techniques. In this paper, recent mathematical models of this hemodynamic response are reviewed and integrated. Models are described for: (1) the blood oxygenation level dependent (BOLD) signal as a function of changes in cerebral oxygen extraction fraction (E) and cerebral blood volume (CBV); (2) the balloon model, proposed to describe the transient dynamics of CBV and deoxy-hemoglobin (Hb) and how they affect the BOLD signal; (3) neurovascular coupling, relating the responses in CBF and cerebral metabolic rate of oxygen (CMRO(2)) to the neural activity response; and (4) a simple model for the temporal nonlinearity of the neural response itself. These models are integrated into a mathematical framework describing the steps linking a stimulus to the measured BOLD and CBF responses. Experimental results examining transient features of the BOLD response (post-stimulus undershoot and initial dip), nonlinearities of the hemodynamic response, and the role of the physiologic baseline state in altering the BOLD signal are discussed in the context of the proposed models. Quantitative modeling of the hemodynamic response, when combined with experimental data measuring both the BOLD and CBF responses, makes possible a more specific and quantitative assessment of brain physiology than is possible with standard BOLD imaging alone. This approach has the potential to enhance numerous studies of brain function in development, health, and disease.

摘要

大脑中的神经活动伴随着脑血流量(CBF)和血液氧合的变化,这些变化可以用功能磁共振成像(fMRI)技术检测到。在本文中,对这种血液动力学反应的最新数学模型进行了综述和整合。描述了以下模型:(1)作为脑氧提取分数(E)和脑血容量(CBV)变化函数的血氧水平依赖(BOLD)信号;(2)气球模型,该模型用于描述CBV和脱氧血红蛋白(Hb)的瞬态动力学以及它们如何影响BOLD信号;(3)神经血管耦合,将CBF和脑氧代谢率(CMRO₂)的反应与神经活动反应联系起来;(4)神经反应本身的时间非线性的简单模型。这些模型被整合到一个数学框架中,该框架描述了将刺激与测量到的BOLD和CBF反应联系起来的步骤。在提出的模型背景下,讨论了检验BOLD反应瞬态特征(刺激后下冲和初始下降)、血液动力学反应非线性以及生理基线状态在改变BOLD信号中的作用的实验结果。当血液动力学反应的定量建模与测量BOLD和CBF反应的实验数据相结合时,与仅使用标准BOLD成像相比,可以对脑生理学进行更具体和定量的评估。这种方法有可能加强对发育、健康和疾病中的脑功能的众多研究。

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