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This vignette provides you a simple example to construct region-level connectivity network. In example below, when the programming is running, the progress bar will be generated.
require(brainKCCA)
#> Loading required package: brainKCCA
require(oro.nifti)
#> Loading required package: oro.nifti
#> oro.nifti 0.9.1
# write data into temp file. The generated NIfTI
# provide you a general structure of fMRI data.
filePath <- tempdir()
# the nii.gz fMRI imaging file is created (toy example)
oro.nifti::writeNIfTI(brainKCCA::input_img, paste(filePath, "/", "temp", sep=""))
#read fMRI data
testcase1 <- nii2RData(niiFile1 = "temp", resolution = "3mm", imgPath = filePath)
#> Reading nii files...this progress may take a long time...
#>
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#> reading data 1
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#> Completed...
result1<-permkCCA_multipleRegion(imageDat = testcase1, region = c(1,5,10))
#>
#> Checking data format...
#>
#> processed image data detected, do not need to read nii data again...
#> Calculating KCC...
#>
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#>
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#>
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summary_kcca(result1)
#>
#> summary of kcca object 1 generated by 'permkCCA_multipleRegion' function:| index1 | index2 | region1 | region2 | pvalue |
|---|---|---|---|---|
| 1 | 5 | PreCG.L | ORBsup.L | 1 |
| 1 | 10 | PreCG.L | ORBmid.R | 0.385 |
| 5 | 10 | ORBsup.L | ORBmid.R | 0 |
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They may not be fully stable and should be used with caution. We make no claims about them.
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