nuisance_Param_BayesGLM: nuisance

nuisance_Param_BayesGLMR Documentation

nuisance

Description

nuisance

Arguments

nuisance

(Optional) A T \times N_{nuis} matrix of nuisance signals, where T is the number of timepoints and N is the number of nuisance signals, or a list of these for multi-session analysis. Nuisance signals are regressed from the fMRI data and design matrix prior to GLM computation. Nuisance signals can include motion regressors, HRF derivatives not being modeled as tasks, and other sources of noise.

Detrending/high-pass filtering is accomplished by adding DCT bases to the nuisance matrix; see the parameters hpf and DCT.

Do not add spike regressors for scrubbing to the nuisance matrix. Rather, provide these in scrub so that their corresponding timepoints are also removed from the BOLD data after nuisance regression.


hrf documentation built on April 3, 2025, 10:36 p.m.