Method for Multimodal analysis of independent source differences in schizophrenia: Combining gray matter structural and auditory oddball functional data
Method for Multimodal analysis of independent source differences in schizophrenia: Combining gray matter structural and auditory oddball functional data
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DOI：
10.1002/hbm.20166
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发表时间：
2006-01-01
影响因子：
4.8
通讯作者：
Pearlson, GD
中科院分区：
文献类型：
--
作者：
Calhoun, VD;Adali, T;Pearlson, GD
在给定的研究中同时获取结构MRI （sMRI）和功能MRI （fMRI）数据是一种非常普遍的做法。然而，这些数据通常是在单独的分析中检查的，而不是在一个组合的模型中。我们提出了一种新的方法来执行跨图像模式的独立分量分析，特别是灰质图像和fMRI激活图像，以及联合直方图可视化技术。联合独立分量分析（jICA）用于分解具有给定行的矩阵，该矩阵由来自同一个体的听觉古怪目标刺激产生的fMRI激活图像和sMRI灰质分割图像组成。我们使用jICA方法分析了一组精神分裂症患者和健康对照者的数据。估计空间独立的关节成分，只有当它们在患者和对照组之间显示出显著差异时，才进一步分析产生的成分。主要发现是双侧顶叶、额叶和后颞叶灰质区域的组间差异与双侧颞叶区域被听觉怪靶刺激激活有关。在这些双侧前颞叶区域发现较少的患者灰质和较少的血流动力学活动用于目标检测，这与先前的工作一致。这一发现的一个意想不到的推论是，在显示最大组差异的区域，患者的灰质浓度比对照组更高，这表明在听觉怪异的fMRI任务中，更多的灰质可能与更少的功能连接有关。
The acquisition of both structural MRI (sMRI) and functional MRI (fMRI) data for a given study is a very common practice. However, these data are typically examined in separate analyses, rather than in a combined model. We propose a novel methodology to perform independent component analysis across image modalities, specifically, gray matter images and fMRI activation images as well as a joint histogram visualization technique. Joint independent component analysis (jICA) is used to decompose a matrix with a given row consisting of an fMRI activation image resulting from auditory oddball target stimuli and an sMRI gray matter segmentation image, collected from the same individual. We analyzed data collected on a group of schizophrenia patients and healthy controls using the jICA approach. Spatially independent joint-components are estimated and resulting components were further analyzed only if they showed a significant difference between patients and controls. The main finding was that group differences in bilateral parietal and frontal as well as posterior temporal regions in gray matter were associated with bilateral temporal regions activated by the auditory oddball target stimuli. A finding of less patient gray matter and less hemodynamic activity for target detection in these bilateral anterior temporal lobe regions was consistent with previous work. An unexpected corollary to this finding was that, in the regions showing the largest group differences, gray matter concentrations were larger in patients vs. controls, suggesting that more gray matter may be related to less functional connectivity in the auditory oddball fMRI task.