usage of rest-gca
DESCRIPTION
Usage of REST-GCA. ZANG Zhenxiang [email protected]. Outline. Set data directory Set ROI Mask selection Set order & select algorithm Set covariates (optional) Set output directory Z score transformation. Set directory. Click the right button to add a directory:. ←. →. - PowerPoint PPT PresentationTRANSCRIPT
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OutlineOutline
Set data directorySet data directory Set ROISet ROI Mask selectionMask selection Set order & select algorithmSet order & select algorithm Set covariates (optional)Set covariates (optional) Set output directorySet output directory Z score transformationZ score transformation
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Set directorySet directory
Click the right button to add a Click the right button to add a directory:directory:
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Set directorySet directory Add sub-foldersAdd sub-folders
for batch analysis:for batch analysis:
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Set directorySet directory
Remove the selected directory:Remove the selected directory:
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Set directorySet directory
Remove all the directories:Remove all the directories:
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Set ROI
Voxel-wise
ROI-wise
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Voxel-wiseVoxel-wise
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Voxel-wiseVoxel-wise
→
→
Please see REST-sliceviewer
for details.The text file must contain only one column. Each line represents the value of a time point.
→
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Set ROI
Voxel-wise
ROI-wise
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ROI-wise (between two ROI-wise (between two ROIs)ROIs)
Set the first ROI:Set the first ROI:
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ROI-wiseROI-wise
→
→
Please see REST-sliceviewer
for details.The text file must contain only one column. Each line represents the value of a time point.
→
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ROI-wiseROI-wise
Three ROIs have been added
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Mask selectionMask selection
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User defined maskUser defined mask
Select yourSelect your
mask:mask:
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Order and algorithmOrder and algorithm Set order:Set order:
Choose the algorithm:Choose the algorithm:
or
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Select the Coefficient Select the Coefficient ModeMode
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Bivariate coefficients is for bivariate cGCA computation. Multivariate coefficients is for multivariate cGCA computation. The two selection are based on coefficient-based ROI-wise GCA.
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ROI-wise for bivariate c-ROI-wise for bivariate c-GCAGCA
ROI_sequence: save the sequence of pair ROI for bivariate GCA. Three pairs of computation have been performed: ROI1 v.s. ROI2; ROI1 v.s. ROI3 and ROI2 v.s. ROI3.Bivariate Results: Order was 1. Left column is the signed-path coefficients (ROI1 v.s. ROI 2,… see ROI_sequence). Right column is the auto regression coefficients.
→outputs
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ROI-wise for Multivariate ROI-wise for Multivariate c-GCAc-GCA
Order1 results:
Order2 results:
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Add covariatesAdd covariates
Covariates are optionalCovariates are optional
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→The covariates text file may contain several columns, each respresenting a covariate.
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Set output directorySet output directory
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Z score transformationZ score transformation
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The result maps will be renamed with suffix letter ‘Z’
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Click ‘Compute’ to start
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Thanks for using REST and Thanks for using REST and REST-GCA!REST-GCA!