nilearn.signal: Preprocessing Time Series

Preprocessing functions for time series.

All functions in this module should take X matrices with samples x features

Functions:

butterworth(signals, sampling_rate[, ...])	Apply a low-pass, high-pass or band-pass Butterworth filter.
clean(signals[, runs, detrend, standardize, ...])	Improve SNR on masked fMRI signals.
high_variance_confounds(series[, ...])	Return confounds time series extracted from series with highest variance.