The Effect of Model Order Selection in Group PICA
The Effect of Model Order Selection in Group PICA
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DOI：
10.1002/hbm.20929
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发表时间：
2010-08-01
影响因子：
4.8
通讯作者：
Kiviniemi, Vesa
中科院分区：
文献类型：
--
作者：
Abou-Elseoud, Ahmed;Starck, Tuomo;Kiviniemi, Vesa
功能MRI数据的独立成分分析（伊卡）对模型阶数的选择很敏感。关于模型阶数的增加对静息态网络独立成分特性的影响，目前还缺乏足够的认识。将55名健康对照者的可能伊卡组（PICA组）静息状态数据用ICASSO重复性软件重复100次，聚类成分后，用中心型成分进一步分析。视觉信号源（VSS），默认模式网络（DMN），初级躯体感觉（S-1），次级躯体感觉（S-2），初级运动皮层（M-1），纹状体，楔前叶（preC）组件被选为感兴趣的组件进行评估，通过不同的组概率独立成分分析（PICA）模型阶数在10和200之间。在模型阶数为10时，DMN和VSS组件融合了几个功能上分离的源，这些源在更高的模型阶数时分支为多个组件。感兴趣的组分的体积和平均z分数都显示出作为模型阶数的函数的显著（P < 0.05）变化。总之，模型阶数对集成电路的特性有很大的影响。我们的研究结果表明，使用模型阶数100显示伊卡重复性降低，但对体积或平均z分数结果无显著性影响。《脑地图》31：1207-1216，2010年。(C)2010 Wiley-Liss，Inc.
Independent component analysis (ICA) of functional MRI data is sensitive to model order selection. There is a lack of knowledge about the effect of increasing model order on independent components' (ICs) characteristics of resting state networks (RSNs). Probabilistic group ICA (group PICA) of 55 healthy control subjects resting state data was repeated 100 times using ICASSO repeatability software and after clustering of components, centrotype components were used for further analysis. Visual signal sources (VSS), default mode network (DMN), primary somatosensory (S-1), secondary somatosensory (S-2), primary motor cortex (M-1), striatum, and precuneus (preC) components were chosen as components of interest to be evaluated by varying group probabilistic independent component analysis (PICA) model order between 10 and 200. At model order 10, DMN and VSS components fuse several functionally separate sources that at higher model orders branch into multiple components. Both volume and mean z-score of components of interest showed significant (P < 0.05) changes as a function of model order. In conclusion, model order has a significant effect on ICs characteristics. Our findings suggest that using model orders 100 showed a decrease in ICA repeatability, but added no significance to either volume or mean z-score results. Hum Brain Mapp 31:1207-1216, 2010. (C) 2010 Wiley-Liss, Inc.