Group_ICA_of_fMRI_Toolbox_(GIFT)_Manual 热度: 女孩要富养--杨澜269 热度: 计算机知识windows系统:开始--运行--命令大全0421050529第一期 热度: GroupICAoffMRIToolbox(GIFT)Manual SrinivasRachakonda 1 ,EricEgolf 2 ,NicolleCorrea 3 andVinceCalhoun ...
基于稳定组ICA 的功能磁共振数据分析工具包Consistent Group ICA ba 热度: 基于区域增长的ICA算法在fMRI数据处理上的研究应用 热度: GroupICAoffMRIToolbox(GIFT)Manual SrinivasRachakonda1 1 1,EricEgolf2,NicolleCorrea3andVinceCalhoun1December18,2007
Motivation for using the group ICA of fMRI Toolbox (GIFT) is discussed in this chapter. In chapter 2, quick start to the toolbox is discussed. Chapter 3 focusses on the process involved in group ICA. In section 2.14, Source Based Morphometry is discussed. A brief discussion is given on...
基于fmri的groupica可以用于分析某种网络是否存在(默认模式网络、感觉运动网络、额顶网络等),每个分离出来的网络都对应一个时间序列,而计算不同网络时间序列之间的相关性,即得到大尺度网络 注意groupica使用的数据是未回归协变量的smooth数据。(smooth是为了增加ica的鲁棒性,增加准确率,降低噪声的影响。无需回归协变量是...
Group ICA fMRI Toolbox ( GIFT ): New Signal Processing Techniques Applied to Brain ImagingEgolf, EricRachakonda, SrinivasCalhoun, Vince D
%%%%%%%%%%%%%%%Group ICA of fMRI Toolbox (GIFT) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % GIFT uses Independent Component Analysis to make group inferences from fMRI data % For more information use the help button in the toolbox ...
The widely-used Group ICA of fMRI toolbox (GIFT) incorporates several methods for the back-reconstruction step, including three PCA-based approaches (GICA1, GICA2 and GICA3) (Calhoun, 2004), a least-squares based approach called spatio-temporal regression (STR) or dual regression (Beckmann et...
group ICAmajor depressionResting-state fMRIRecently, both increases and decreases in resting-state functional connectivity have been found in major depression. ... IM Veer - 《Frontiers in Systems Neuroscience》 被引量: 755发表: 2010年 Network-specific effects of age and in-scanner subject motion:...
fMRI Data- Example fMRI datais from a visuomotor paradigm.Mancovan Sample Data- Sample data to use in mancovan analysis or temporal dfnc analysis. Complex GIFT- ICA is applied on complex fMRI data. Please follow the read me text file instructions for doing complex fMRI ICA analysis. ...
Group ICA of fMRI relies upon a PCA step that may discard low variance features. In ICA, a low variance feature is a spatial component that has a time course with small variance. Low variance features contained in the “noise” subspace in PCA may be related to neural activity, and in ...