ThresholdWholeBrain.m
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			%% This function determines the time points that exhibit whole-brain
			% significant excursions in terms of innovation signal
			%
			% Inputs:
			% - mask1 is a n_TP x n_ret_vox matrix containing -1 or 1 for significant
			% negative/positive excursions at a given time for a given voxel, and 0 for
			% no significant excursion
			% - n_voxels is the number of voxels that must show significant excursions
			% at the same time to conclude significance
			%
			% Outputs:
			% - mask2 is a n_TP-long vector depicting the moments with significant
			% excursions
			function [mask2] = ThresholdWholeBrain(mask1,n_voxels)

			mask2 = zeros(size(mask1,1),1);
			mask2(sum(abs(mask1),2) >= n_voxels) = 1;
			mask2 = logical(mask2);
			end

iCAPs_v2/functions/02_Thresholding/ThresholdWholeBrain.me5f5005bb2efmaster