请问一下，静息态fMRI扫描时，最短的时间可以是几分钟？2分钟的数据可以吗？谢谢！
Dear experts,
I'm currently analyzing DMN (PCC/precuneus seed-based) using REST.
In addition, I want to analyze sensorimotor network in groups of subjects.
Is there a well-identified seed for this sensorimotor network?
If yes, please let me know the accurate MNI coordinates or the article that used this seed.
Thank you in advance for your kindness.
Kim
I have the following issues with DPARSFA. I want to start from normalisation step for a set of images that are already realigned and slice ime corrected. I have also obtained mean images for these volumes. But when I try and start unified segmentation based normalisation, the DPARSFA starts searching for mean and does not fine it. It starts computing mean which takes a long time. The mean file is included along with 410 other images in each subject folder (410 time points, 1 mean image = in each subject folder).
Where should I put the mean files?
Hi,teacher Yan,after the acquired data being processed by DPARSF,a RESULT folder containing FCresult is obtained,I want do some FC research such as One sample T test,but there is a button 'Mask File',I do not know how to use this button,please explain to me?
Another question,only Voxel-wise ROI can be finished in DPARSF?Then if I want do ROI-wise ,how can I realize?
有个比较弱的问题，刚没想明白，来问一下专家。
我用FSL写了个SCRIPT做ALFF，不过对ALFF有个问题。FSL对raw data做预处理的时候，会把图像的中间值global normalize到10000左右 － the whole 4D data set is normalised by a single scaling factor ("grand mean scaling") 。这样到higher level的统计才正确。但是这样的问题是每个SUBJECT SCALE FACTOR不同，再进行FFT计算ALFF的时候，会对结果有所影响。那在REST里面怎么处理normalisation的问题的？
谢谢
请问在rest中，default mask是什么（brainmask么）？
Brain. 2011 Oct;134(Pt 10):2912-28.
Altered functional-structural coupling of large-scale brain networks in idiopathic generalized epilepsy.
Zhang Z, Liao W, Chen H, Mantini D, Ding JR, Xu Q, Wang Z, Yuan C, Chen G, Jiao Q, Lu G.
Source
不好意思，网速终于快一点了，我还是在这里提问下吧。谢谢管理员的解答。
今天研究了下alphasim，发现有些地方不是太懂。以下是我用全脑mask跑的alphasim。
Mask filename = BrainMask_05_61x73x61
Voxels in mask = 70831
Gaussian filter width (FWHM, in mm) = 8.000
Cluster connection radius: rmm = 5.00
Individual voxel threshold probability = 0.001
Number of Monte Carlo simulations = 1000
Output filename = AlphaSimtext0.0018