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首页> 外文期刊>Journal of Neuroscience Methods >Analysis of functional MRI data based on an estimation of the hemodynamic response in the human brain.
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Analysis of functional MRI data based on an estimation of the hemodynamic response in the human brain.

机译：基于对人脑血液动力学反应的估计，对功能性MRI数据进行分析。

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Functional magnetic resonance imaging (fMRI) data is usually analyzed using hemodynamic response data formulated with the aid of a gamma function. An fMRI response to stimuli can be mathematically modeled by convolution of the hemodynamic response and the presented stimulus. This approach is based on a linear system analysis. However, it is known that most biological systems are nonlinear and the nature of the hemodynamic response depends on both the subjects and brain regions under study. In this work, we estimated the hemodynamic responses of the fusiform face area (FFA) and the primary visual area (V1) using 1st- and 2nd-order Volterra kernels. The estimated hemodynamic responses were used to analyze fMRI data obtained from the corresponding regions. The results of the analysis of fMRI data using the estimated hemodynamic responses show a more significant activation than is obtained by conventional analysis using the hemodynamic response modeled by gamma function.
机译：通常使用借助伽马函数制定的血液动力学响应数据来分析功能磁共振成像（fMRI）数据。 fMRI对刺激的反应可以通过血流动力学反应和所呈现的刺激的卷积来数学建模。该方法基于线性系统分析。但是，众所周知，大多数生物系统都是非线性的，血液动力学响应的性质取决于研究对象和大脑区域。在这项工作中，我们使用一阶和二阶Volterra仁估计了梭形面部区域（FFA）和主要视觉区域（V1）的血液动力学响应。估计的血液动力学反应用于分析从相应区域获得的fMRI数据。使用估计的血流动力学响应对fMRI数据进行分析的结果显示，其激活比使用γ函数建模的血流动力学响应进行的常规分析所获得的激活更为显着。

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