Voxel-based homogeneity probability maps of gray matter in groups: assessing the reliability of functional effects.
Voxel-based homogeneity probability maps of gray matter in groups: assessing the reliability of functional effects.
复制标题
基于体素的灰质组同质性概率图：评估功能效果的可靠性。
DOI：
10.1016/j.neuroimage.2003.10.038
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发表时间：
2004
期刊：
影响因子：
5.7
通讯作者：
Hommer,Daniel
中科院分区：
文献类型：
--
作者：
Momenan,Reza;Rawlings,Robert;Fong,Grace;Knutson,Brian;Hommer,Daniel
A subject of increasing importance in magnetic resonance imaging (MRI) is the analysis of intersubject structural differences, particularly when comparing groups of subjects with different conditions or diagnoses. On the other hand, determining structural homogeneity across subjects using voxel-based morphological (VBM) methods has become even more important to investigators who test for group brain activation using functional magnetic resonance images (fMRI) or positron emission tomography (PET). In the absence of methods that evaluate structural differences, one does not know how much reliability to assign to the functional differences. Here, we describe a voxel-based method for quantitatively assessing the homogeneity of tissues from structural magnetic resonance images of groups. Specifically, this method determines the homogeneity of gray matter for a group of subjects. Homogeneity probability maps (HPMs) of a given tissue type (e.g., gray matter) are generated by using a confidence interval based on binomial distribution. These maps indicate for each voxel the probability that the tissue type is gray for the population being studied. Therefore, HPMs can accompany functional analyses to indicate the confidence one can assign to functional difference at any given voxel. In this paper, examples of HPMs generated for a group of control subjects are shown and discussed. The application of this method to functional analysis is demonstrated.
