stats - Methods to extract dataset statistics

calculate statistics off of datasets

neural.stats.mask_average(dset, mask)

Returns average of voxels in dset within non-zero voxels of mask

neural.stats.max(dset)

max value of dataset

Calculated by reading the dataset. If it’s in the header, you can also read this from dset_info

neural.stats.sphere_average(dset, x, y, z, radius=1)

returns a list of average values (one for each subbrick/time point) within the coordinate (x,y,z) (in RAI order) using a sphere of radius radius in dset

neural.stats.voxel_count(dset, p=None, positive_only=False, mask=None, ROI=None)

returns the number of non-zero voxels

P:threshold the dataset at the given p-value, then count Positive_only:only count positive values Mask:count within the given mask ROI:only use the ROI with the given value (or list of values) within the mask if ROI is ‘all’ then return the voxel count of each ROI as a dictionary