Modeling inter-subject variability in FMRI activation location: a Bayesian hierarchical spatial model.
Modeling inter-subject variability in FMRI activation location: a Bayesian hierarchical spatial model.
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DOI：
10.1111/j.1541-0420.2008.01190.x
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发表时间：
2009-12
期刊：
影响因子：
1.9
通讯作者：
Nee DE
中科院分区：
文献类型：
--
作者：
Xu L;Johnson TD;Nichols TE;Nee DE
The aim of this work is to develop a spatial model for multi-subject fMRI data. There has been extensive work on univariate modeling of each voxel for single and multi-subject data, some work on spatial modeling of single-subject data, and some recent work on spatial modeling of multi-subject data. However, there has been no work on spatial models that explicitly account for inter-subject variability in activation locations. In this work, we use the idea of activation centers and model the inter-subject variability in activation locations directly. Our model is specified in a Bayesian hierarchical frame work which allows us to draw inferences at all levels: the population level, the individual level and the voxel level. We use Gaussian mixtures for the probability that an individual has a particular activation. This helps answer an important question which is not addressed by any of the previous methods: What proportion of subjects had a significant activity in a given region. Our approach incorporates the unknown number of mixture components into the model as a parameter whose posterior distribution is estimated by reversible jump Markov Chain Monte Carlo. We demonstrate our method with a fMRI study of resolving proactive interference and show dramatically better precision of localization with our method relative to the standard mass-univariate method. Although we are motivated by fMRI data, this model could easily be modified to handle other types of imaging data.
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影响因子：
5.7
作者：
FRISTON, KJ;HOLMES, AP;TURNER, R
通讯作者：
TURNER, R
影响因子：
5.7
作者：
Tabelow, Karsten;Polzehl, Joerg;Spokoiny, Vladimir
通讯作者：
Spokoiny, Vladimir
影响因子：
5.7
作者：
Beckmann, CF;Smith, SM
通讯作者：
Smith, SM
影响因子：
5.7
作者：
Genovese, CR;Lazar, NA;Nichols, T
通讯作者：
Nichols, T
DOI：
10.1111/1467-9868.00095
发表时间：
1997-01-01
期刊：
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL
影响因子：
--
作者：
Richardson, S;Green, PJ
通讯作者：
Green, PJ