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fmri (version 1.9.12.1)

fmri.detrend: Detrend fMRI time series

Description

Detrend fMRI dataset with a polynomial of given degree

Usage

fmri.detrend(data, degree = 1, nuisance=NULL, accoef = 0)

Value

Detrended data object of class ''fmridata''.

Arguments

data

fMRI dataset of class ''fmridata''

degree

Degree of the polynomial used to detrend the data. defaults to 1 (linear trends).

nuisance

Matrix of additional nuisance parameters to regress against.

accoef

Coefficient of AR(1) model used for prewhitening. default 0.

Author

Joerg Polzehl polzehl@wias-berlin.de

Details

The function can be used to detrend the time series of an fMRI dataset data (of class ''fmridata'' using polynomials. If the argument degree is larger than 0 (default: 1) the polynomial trends up to the given degree are removed from the data. If the argument accoef is larger than 0 (default: 0) prewhitening using an AR(1) model is performed.

References

Polzehl, J. and Tabelow, K. (2007). fmri: A Package for Analyzing fmri Data, R News, 7:13-17.

See Also

fmri.lm

Examples

Run this code
  # Example 1
  data <- list(ttt=writeBin(rnorm(32*32*32*107),raw(),4),
               mask=array(1,c(32,32,32)),dim=c(32,32,32,107))
  class(data) <- "fmridata"
  data <- fmri.detrend(data,2)

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