作者
Karl J Friston, Andrew P Holmes, JB Poline, PJ Grasby, SCR Williams, Richard SJ Frackowiak, Robert Turner
发表日期
1995/3/1
期刊
Neuroimage
卷号
2
期号
1
页码范围
45-53
出版商
Academic Press
简介
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 …
引用总数
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KJ Friston, AP Holmes, JB Poline, PJ Grasby… - Neuroimage, 1995