Specifically, we used 3D Fast Fourier Transform (FFT), as implemented by the function ‘fftn’ in MATLAB, to convert the intact movie into the frequency domain, in which the phase was randomly shuffled while the magnitude remained unchanged; then inverse FFT was applied to the phase-shuffled data to generate a scrambled version of the original movie.
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