ZangYF Group's CVs

DPARSFA 2.3: Correct "Slice Order" values for sequential (ascending) acquisition

Submitted by sharky on Tue, 07/15/2014 - 18:15

Dear DPARSF users and developers,

Could you please confirm that the values I am enering are correct?

I have 200 BOLD volumes per subject, 40 slices acquired in a sequential (ascending) order. 
Slice numbering starts at 0, therefore I should enter:
Slice number: 200

Forums: 
Resting-state fMRI topics

关于利用DPARSF获得大脑90个区域functional connectivity矩阵的问题

Submitted by jma0206 on Tue, 07/15/2014 - 22:37

 各位老师同学大家好，
      目前我利用DPARSF软件预处理数据是遇到了一个问题。我希望利用这个软件获得大脑90个区域之间的functional connectivity的矩阵，但是我从软件中的模板选择区域时发
现好像它没有将整个大脑划分为90个区域，所以我无法得到这个矩阵。现在我的问题就是我应该怎么设置DPARSF这个软件去得到这90个区域之间的functional connectivity呢？我需要重新下载模板吗？谢谢大家的帮助。

Forums: 
Resting-state fMRI topics

Slice viewer Overlay error

Submitted by bwmooneyham on Wed, 07/16/2014 - 06:11

 Dear all,

I am trying to use the Slice Viewer within REST to perform cluster-extent corrections on a paired-t image, but am getting the following error when selecting the t-image as the Overlay:

??? Attempted to access theOverlay(11,190); index out of bounds because
size(theOverlay)=[108,189].
 
Forums: 
Resting-state fMRI topics

DPABI中DICOM数据分类出现错误

Submitted by xiaopeng on Thu, 07/17/2014 - 23:21

REST分类DICOM数据出错，提示ProtocolName出错，在REST_DicomSorter.m中改成SequenceName之后还是出错。之后在DPABI->Utilities->DICOM Sorter做相应修改后再运行，出现一下报错：

??? Index exceeds matrix dimensions.

Error in ==> w_DCMSort at 15
    fprintf('Read %s etc.\n', OneDICOM{1});

Error in ==> DPABI_DCMSORTER_TOOL>ComputeButton_Callback at 227

Forums: 
Resting-state fMRI topics

REST中DICOM数据分类出现错误

Submitted by xiaopeng on Thu, 07/17/2014 - 23:21

老师：
     您好！我用的是matlabR2010b，安装在d盘，调用REST进行DICOM数据分类时出现以下错误，单个序列用SPM进行DICOM转成 NIfTI是可以进行。不知道什么原因造成REST报错呢？下一步怎么解决？
    谢谢！

错误提示如下：
     Now REST is Running on 0 workers.
Warning: Directory already exists.
> In rest_DicomSorter_gui>btnRun_Callback at 175

Forums: 
Resting-state fMRI topics

关于全脑信号回归

Submitted by benchenchen on Fri, 07/18/2014 - 20:32

    各位老师好，本人在英文写稿过程中碰到了一个棘手的问题，想请教各位老师。在对rest state fMRI数据静息基于种子点的全脑功能连接分析时，我把全脑信号作为协变量进行了回归，但是单样本结果中的正负FC我都保留了，并进行正常组与病人组的组间比较。在讨论的写作过程中才发现对是否去除全脑信号的争议那么大，尤其我们的研究又纳入了负FC，而且在与病人行为学进行相关分析的过程中发现存在显著相关的为某个负FC。不知我们的结果这样采用了全脑信号回归能否继续成文，或者在文章能说明存在争议性就好了么，就怕到时会被审稿人抓住这个问题。希望能得到各位老师的解疑，谢谢！

Forums: 
Resting-state fMRI topics

How to get a mean grey matter map as a mask?

Submitted by pingfan2008 on Sat, 07/19/2014 - 23:34

大家好，在阅读文献中，常看到这样的描述：
"The resulting T-map （or  Statistical map） was masked by a grey matter map, which was obtained by segmenting the mean normalized high resolution T1-weighted images of all the subjects, to include only the areas falling in grey matter."

我不确定自己理解的上述mask 做法是否正确，联系了作者，但暂时没有得到回复。故特此发帖与大家确定一下：

Forums: 
Resting-state fMRI topics
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