Hi All,
I want to extract ROI signals using DPARSF, but the eigen values instead of the mean values of the ROIs.
Is there a way to extract eigen values in DPARSF?
Thanks,
Sai
Hi all,
Can the atlases bundled with the DPABI be thresholded in a probabilistic manner? My assumption is that they are hard segmentations, but if so, what is the segmentation based on.
Thanks,
Matt
Dear Chao-Gan,
I use AlphaSim in my VBM workflow to take multiple testing into account when I analyze clusters within ROIs.
Everything seemed to work just fine but for the small structure of the amygdala (bilateral only 1109 voxels, voxel size 1.5 mm) the program stopped with an error message indicating that an index was out of bound:
REST Version: 1.8, Release: 20130615
Citation Information:
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Hi, everyone!
I am doing a whole-brain seed-based functional connectivity analysis using pre-defined ROI. My aim is to find connectivity which is correlated with a individual difference data.
All of the proprocess and statistic steps were performd by Dpabi.
My results can survivive in GRF-correction (voxel p<0.025, cluster p<0.1, two-tailed, I got this from video course). However, previous papers usually use this method for group difference dectection (Z>2.3, cluster p<0.05).
Therefore, I have two questions here:
Dear Experts,
I am trying to use the DPARSF toolbox to do nuisance regression (WM, CSF, rigid-body 6) and filtering (bandpass .01 - .08) and cannot get the program to work. I have added subfolders for SPM8 and dpabi V1.1/DPARSF V3.0 in MATLAB 2014a. When I try to use the "blank template" for these two functions, I get the error:
严老师：
您好，请问FunImgARCW被试文件夹里面wCovRegressed_4DVolume.mate存储的是什么数据？wCovRegressed_4DVolume.nii是normalize到mni空间的数据吗？
谢谢！
严老师：
您好！我用DPARSF3.0做regressing out cvariates时出现很多警告：
警告: 矩阵接近奇异值，或者缩放错误。结果可能不准确。RCOND = 5.595369e-10。
> In y_regress_ss at 37
In y_RegressOutImgCovariates at 134
In DPARSFA_run>(parfor body) at 2522
In parallel_function>make_general_channel/channel_general at 929
In remoteParallelFunction at 38
请问这是什么意思？对结果有影响吗？
谢谢！
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Dear colleagues I am beginner in rest state fMRI experiments, my question might look silly for you, I saw many rest fMRI protocols they mentioned that TR should not exceed 3000ms, is it technical issue or it has some relation to mechanism of the brain networking and MR signal, and what they mean by Default mode network shows up in resting fMRI as areas with temporally correlated baseline activity, 0.01 Hz < frequency < 0.08 Hz. thank you for your contribution.