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如何统一colorbar
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各位老师:
我想问做出来的激活图他们的激活程度是不一样的,就是colorbar的最大值和最小值是不一样的,那么怎么将多张图统一成一个colorbar呢?
我想问做出来的激活图他们的激活程度是不一样的,就是colorbar的最大值和最小值是不一样的,那么怎么将多张图统一成一个colorbar呢?
请教关于扫描定位问题
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脑功能的扫描在定位时有纯轴位和平行于AC-PC线的方法,想请问老师,用spm做组分析时,纯轴位扫出来的数据可以进行么?会不会有误差?
DPARSFA报错,找不到Mask?
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各位老师好:
我在用DPARSFA处理一批数据,预处理选择了时间校正、头动校正、去除协变量、空间标准化。(网站的上传图片功能有问题,截图传不上来)。报错代码如下:
Realign Setup:PatientClass3Sub4403 OK
------------------------------------------------------------------------
Running job #1
------------------------------------------------------------------------
Running 'Realign: Estimate & Reslice'
Done 'Realign: Estimate & Reslice'
Done
FC map problems
underlay如何调整和overlay一致
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严老师:
您好!我的underlay解剖图像和overlay的功能图像大小不一致,无法重叠成一张图,应该怎么来调整成一致呢?谢谢
您好!我的underlay解剖图像和overlay的功能图像大小不一致,无法重叠成一张图,应该怎么来调整成一致呢?谢谢
ROI-wise Functional Connectivity in REST
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Hi, I just finished running a functional connectivity analysis using the REST toolbox. I am looking at the FC between 2 regions so I entered those as ROIs and chose ROI-wise analysis.
The output is a series of txt files and I am wondering what exactly the numbers in the txt files represent? I am guessing that:
The output is a series of txt files and I am wondering what exactly the numbers in the txt files represent? I am guessing that:
mask制作问题
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老师们,好。
近期看到一篇文章: Resting-state functional connectivity patterns predict Chinese word reading competency. PloS one, 7(9), e44848
里面提及的mask制作,此文是这样说:
The RSFC analysis was performed using the Resting-State fMRI Data Analysis Toolkit (REST) [25]. We conducted RSFC
近期看到一篇文章: Resting-state functional connectivity patterns predict Chinese word reading competency. PloS one, 7(9), e44848
里面提及的mask制作,此文是这样说:
The RSFC analysis was performed using the Resting-State fMRI Data Analysis Toolkit (REST) [25]. We conducted RSFC
Mask does not match?
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向各位老师请教一个问题啊:
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
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