filterfMRI4KRNS: Filtering options specific to KRNS

In stnava/RKRNS: ANTsR Decoding

Description

Filters the input matrix using butterworth filtering and time-series trends.

Usage

filterfMRI4KRNS(imat, tr = as.numeric(0.5), filterlowfrequency = 0.1,
  filterhighfrequency = 1, trendfrequency = 3, trendfrequency2 = NA,
  winsorval = 0.01, removeSentLengthEffects = NA, removeEventOverlap = NA)

Arguments

filterlowfrequency	get rid of variation that takes many seconds
filterhighfrequency	get rid of variation that takes few seconds
trendfrequency	time series trend option
winsorval	remove spikes in signal given this winsorization value
removeSentLengthEffects	nuisance vector of size nrow of matrix
removeEventOverlap	nuisance vector of size nrow of matrix
mat	input bold time series matrix

Value

matrix is output

Author(s)

Avants BB

Examples

fmat<-filterfMRI4KRNS( mat ) 

stnava/RKRNS documentation built on May 30, 2019, 7:21 p.m.