Parametric analysis of fMRI data using linear systems methods
Parametric analysis of fMRI data using linear systems methods
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DOI：
10.1006/nimg.1997.0278
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发表时间：
1997-08-01
期刊：
影响因子：
5.7
通讯作者：
Cohen, MS
中科院分区：
文献类型：
--
作者：
Cohen, MS
使用的功能性MRI（fMRI）的脉冲响应模型的基础上发表的数据，我们已经证明，自由变化的时间刺激的fMRI响应的形式可以很好地模拟卷积的脉冲响应与行为刺激。作为参数变化的行为条件的函数的响应的振幅拟合以及使用分段线性近似。结合相关性分析，使用组合模型可提高MRI研究的灵敏度。这种方法基于线性系统分析的成熟方法，也允许对受试者在广泛的行为条件下的反应幅度进行定量比较。拟合参数，从振幅数据，是相对不敏感的各种MRI相关的伪影和产量的结果，很容易比较受试者。(C)北京：科学出版社.
Using a model of the functional MRI (fMRI) impulse response based on published data, we have demonstrated that the form of the fMRI response to stimuli of freely varied timing can be modeled well by convolution of the impulse response with the behavioral stimulus. The amplitudes of the responses as a function of parametrically varied behavioral conditions are fitted well using a piecewise linear approximation. Use of the combined model, in conjunction with correlation analysis, results in an increase in sensitivity for the MRI study. This approach, based on the well-established methods of linear systems analysis, also allows a quantitative comparison of the response amplitudes across subjects to a broad range of behavioral conditions. Fit parameters, derived from the amplitude data, are relatively insensitive to a variety of MRI-related artifacts and yield results that are compared readily across subjects. (C) 1997 Academic Press.