nilearn.signal: Preprocessing Time Series#

Preprocessing functions for time series.

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


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.