nifti_files: a string or a list/tuple of strings. :
The full path(s) to the file(s) from which the time-series is (are)
extracted
coords: ndarray or list/tuple of ndarray :
x,y,z (inplane,inplane,slice) coordinates of the ROI(s) from which the
time-series is (are) derived.
TR: float, optional :
The TR of the fmri measurement
normalize: bool, optional :
Whether to normalize the activity in each voxel, defaults to
None, in which case the original fMRI signal is used. Other options
are: ‘percent’: the activity in each voxel is converted to percent
change, relative to this scan. ‘zscore’: the activity is converted to a
zscore relative to the mean and std in this voxel in this scan.
average: bool, optional whether to average the time-series across the :
voxels in the ROI (assumed to be the first dimension). In which
case, TS.data will be 1-d
filter: dict, optional :
If provided with a dict of the form:
{‘lb’:float or 0, ‘ub’:float or None, ‘method’:’fourier’ or ‘boxcar’ }
each voxel’s data will be filtered into the frequency range [lb,ub] with
nitime.analysis.FilterAnalyzer, using either the fourier or the boxcar
method provided by that analyzer
verbose: Whether to report on ROI and file being read. :
|
