Usage of REST-GCA

Post on 24-Jan-2016

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Usage of REST-GCA. ZANG Zhenxiang zangzx416@gmail.com. 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 Presentation

Transcript of Usage of REST-GCA

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Usage of REST-Usage of REST-GCAGCA

ZANG ZhenxiangZANG Zhenxiang

zangzx416@gmail.comzangzx416@gmail.com

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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

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

→The covariates text file may contain several columns, each respresenting a covariate.

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Set output directorySet output directory

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!