log_Thresholding_exampleToolbox_openfMRI.txt
2cb18aae5832master

log_Thresholding_exampleToolbox_openfMRI.txt
View Options

			Starting the total activation/iCAPs tools for project entitled exampleToolbox_openfMRI
			Entering the thresholding process...
			Analyzing subject example data/sub-10159...
			Loading total activation data...
			Removing NaNs from innovations...
			There are 0 voxels that have been removed because of being NaN after TA...
			Computing percentiles...
			Computed voxel-wise percentiles: average values are -0.18392 for bottom, and 0.18404 for top percentiles...
			Selecting significant innovation frames...
			Spatial thresholding: there are 1030 voxels that must show significance together...
			There are 68 out of 147 frames selected for positive innovation...
			There are 73 out of 147 frames selected for negative innovation...
			Saving...
			Finished running thresholding for subject example data/sub-10159...

			Analyzing subject example data/sub-10171...
			Loading total activation data...
			Removing NaNs from innovations...
			There are 0 voxels that have been removed because of being NaN after TA...
			Computing percentiles...
			Computed voxel-wise percentiles: average values are -0.24173 for bottom, and 0.24213 for top percentiles...
			Selecting significant innovation frames...
			Spatial thresholding: there are 1165 voxels that must show significance together...
			There are 67 out of 146 frames selected for positive innovation...
			There are 72 out of 146 frames selected for negative innovation...
			Saving...
			Finished running thresholding for subject example data/sub-10171...