Estimation of the intrinsic dimensionality of fMRI data
Estimation of the intrinsic dimensionality of fMRI data
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DOI：
10.1016/j.neuroimage.2005.07.054
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发表时间：
2006-01-01
期刊：
影响因子：
5.7
通讯作者：
Nandy, RR
中科院分区：
文献类型：
--
作者：
Cordes, D;Nandy, RR
提出了一种基于I阶自回归噪声模型的功能磁共振成像数据分量数检测方法。与当前的信息论标准（如AIC、MDL和相关的PPCA）不同，这些标准不包含噪声中的自相关性，新方法可以对模型顺序进行更一致的估计，如模拟和真实的fMRI静息状态数据所示。(c) 2005爱思唯尔公司版权所有。
A new method based on an autoregressive noise model of order I is introduced to the problem of detecting the number of components in fMRI data. Unlike current information-theoretic criteria like AIC, MDL, and related PPCA, which do not incorporate autocorrelations in the noise, the new method leads to more consistent estimates of the model order, as illustrated in simulated and real fMRI resting-state data. (c) 2005 Elsevier Inc. All rights reserved.