AFNI program: 3dLocalACF

Output of `-help`

Usage: 3dLocalACF [options] inputdataset Options: -------- -prefix ppp -input inputdataset -nbhd nnn -mask maskdataset -automask Notes: ------ * This program estimates the spatial AutoCorrelation Function (ACF) locally in a neighborhood around each voxel, unlike '3FWHMx -acf', which produces an average over the whole volume. * The input dataset must be a time series dataset, and must have been detrended, despiked, etc. already. The 'errts' output from afni_proc.py is recommended! * A brain mask is highly recommended as well. * I typically use 'SPHERE(25)' for the neighborhood. YMMV. * This program is very slow. This copy of it uses multiple threads (OpenMP), so it is somewhat tolerable to use. ***** This program is experimental ***** ++ Compile date = Feb 7 2025 {AFNI_25.0.04:linux_ubuntu_24_64}

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AFNI program: 3dLocalACF

Output of -help

Output of `-help`