用DPARSF_V2.2_130309 处理数据，在进行了slice timing;realign;Reorient Fun;Reorient T1;T1 coreg to Fun;New segment+DARTEL;Normalize 之后，准备进行接下来的步骤：Nuisance Covariates Regression;Warp Masks into individual Space等
DPARSF reported error when doing Functional Connectivity as followed,
??? Cell contents reference from a non-cell array object.
Error in ==> fc at 54
Given the amount of time and effort for interactive reorienting, here we release the reorient matrices for online data of Autism Brain Imaging Data Exchange (ABIDE) (Di Martino et al., 2013) (fcon_1000.projects.nitrc.org/indi/abide/).
Updates and user support of DPARSF is now at http://rfmri.org/DPARSF
请问问为什么 resting-state fMRI 是从 0.01~0.08Hz 呢。。。？ 与呼吸和心跳等频率是否直接相关？
I am new to DPARSF and I have a question concerning the z transformed functional connectivity maps. I am a bit surprised at the results because the z values of my maps are pretty low (most are between -0.6 and 1). I did not globally regress my images and I expect at least a few voxels to have values of 3 or 4. Anyone has any ideas as to why that is happening?
Here is a conversation long time ago on the necessity of removing linear trend before filtering, if we think linear trend is a kind of noise. Hope this information is helpful for some of us!
老师，请问下：低频的 scanner drift 可以在滤波的时候被抑制，为什么之前还需要对它进行 nuisance covariate regression 呢？ 是否回归这一步是为了减弱它对其它频率的影响。。。？