使用dpabi3.0版本中monkey date模块预处理后mask范围过大

严老师:

 

您好!我采集了一批恒河猴的功能磁共振数据,采用老师您开发的最新版本dpabi(dpabi3.0版本)中的monkey date专用模块进行的数据预处理,计算了fALFF、ALFF及REHO等指标,在处理的过程中遇到了一些问题,问题内容和图片太大,所以以附件上传了。

 

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DPARFA预处理错误

 

Running 'New Segment'

 

Done    'New Segment'

 

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DPARSF head movement

严老师好!我有一个文章用了ABIDE的数据,是您用DPARSF的pipeline做的预处理,http://preprocessed-connectomes-project.org/abide/dparsf.html#fn:1,但是审稿人关于头动提了如下意见:
Q3. Methods, line 181. 

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fMRI preprocssing

Recently, with my knowledge updated, I have a few questions about the order of rsfMRI preprocessing. 

1. about the nuisance covariates regression, some of my friends told me that this step should be done after normalization. But, as far as I see, the nuisance covariates regression (head motion, CSF, WM...) was removed before normalization in DPABI. therefore, I was confused, whether both processings are reasonable or different intrinsic setups are in different processing toolboxes? Would you please help me solve it out?

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Longitudinal resting state fMRI Analyses

Dear Prof. Yan,

I wold like to run a longitudinal seed-based analysis on resting state functional connectivity with DPARSFA . I am already familiar with the cross-sectional analyses with your software, but I would like to know how I can improve the analyses considering the presence of 2 time points (1 year apart) in the preprocessing. 

Thank you in advanced,

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Longitudinal resting state fMRI Analyses

Dear Prof. Yan,

I wold like to run a longitudinal seed-based analysis on resting state functional connectivity with DPARSFA . I am already familiar with the cross-sectional analyses with your software, but I would like to know how I can improve the analyses considering the presence of 2 time points (1 year apart) in the preprocessing. 

Thank you in advanced,

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ReHo and Temporal Dynamic Analysis

Dear colleagues,

Thank you for your work giving me an opportunity to explore the mysterious human brain. I am a student major in medicine and not good at mathematics. I have some questions that maybe silly and look forward to your answers.

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为何dpabi 处理出来的vmhc图像,进行两组间t检验后,有单侧cluster存在呢?

请问,两组间vmhc进行t检验后,进行GRF矫正,后获得了8个cluster,其中6个是左右对称的镜像,还有两个,一个在中线,一个在右侧顶叶,而左侧则没有对称的cluster发现,为什么呢?

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请教:关于DPABI统计中TFCE校正结果图像上出现孔洞的问题

各位老师好!

最近用dpabi统计模块做两组数据间(fALFF,reho)的two sample t-test时,使用了permutation test中tfce校正,但显示结果时发现T2_tfce_tstat图像上出现了很多孔洞,不知是哪里出了问题(如下图)?请问该如何解决?(同时计算出来的T2_vox_tstat结果图像没有孔洞问题。)

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global signal regression?

严老师您好:

        1. seed-based的两组静息态功能连接,主要想看跟灰质连接情况,两独立样本t检验的maskfile可以使用预处理中mask文件夹里的all resempled grey mask图像吗(灰质的)?

       2.不去掉全脑信号的时候,两组差异不显著;去掉全脑信号,两组差异比较显著。这种情况是不是可以就用去掉全脑信号数据来统计分析?

       

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