ANALYSIS OF FMRI TIME-SERIES REVISITED
ANALYSIS OF FMRI TIME-SERIES REVISITED
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DOI：
10.1006/nimg.1995.1007
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发表时间：
1995-03-01
期刊：
影响因子：
5.7
通讯作者：
TURNER, R
中科院分区：
文献类型：
--
作者：
FRISTON, KJ;HOLMES, AP;TURNER, R
本文提出了一种分析来自一个或多个受试者的功能磁共振时间序列的一般方法，该方法基于一般线性模型的扩展，该模型允许生理噪声引起的误差项之间的相关性或经过时间平滑后的相关性。该扩展使用与误差项相关的有效自由度，有效自由度是扫描次数和时间自相关函数的简单函数。如果数据被及时平滑，以神经基础强调血流动力学反应，则可以假设后者的特定形式，这一假设导致灵活统计框架的便利实施。这一小范围扩展的重要性在于，与我们之前的方法不同，任何参数统计分析都可以实施，我们使用多元回归分析来证明这一点，该分析测试了感兴趣的影响(由于单词生成而引起的激活)，同时明确考虑了一些明显的混淆。(C)1995年学术出版社。
This paper presents a general approach to the analysis of functional MRI time-series from one or more subjects, The approach is predicated on an extension of the general linear model that allows for correlations between error terms due to physiological noise or correlations that ensue after temporal smoothing. This extension uses the effective degrees of freedom associated with the error term, The effective degrees of freedom are a simple function of the number of scans and the temporal autocorrelation function. A specific form for the latter can be assumed if the data are smoothed, in time, to accentuate hemodynamic responses with a neural basis, This assumption leads to an expedient implementation of a flexible statistical framework. The importance of this small extension is that, in contradistinction to our previous approach, any parametric statistical analysis can be implemented, We demonstrate this point using a multiple regression analysis that tests for effects of interest (activations due to word generation), while taking explicit account of some obvious confounds. (C) 1995 Academic Press, Inc.