compute_csd: Convert to Current Source Density

In neuroconductor-devel-releases/eegUtils: A collection of utilities for EEG analysis

Description

Convert an eeg_data or eeg_epochs object to using Current Source Densities. This command uses a spherical spline algorithm (Perrin et al., 1989) to compute scalp surface Laplacian/current source density estimates of scalp potentials, a reference-free measure of electrical activity that emphasises more local spatial features

Usage

compute_csd(data, ...)

## Default S3 method:
compute_csd(data, ...)

## S3 method for class 'eeg_data'
compute_csd(data, m = 4, smoothing = 1e-05,
  scaling = 1, ...)

## S3 method for class 'eeg_epochs'
compute_csd(data, m = 4, smoothing = 1e-05,
  scaling = 1, ...)

Arguments

data	eeg_data or eeg_epochs object
...	Other parameters
m	smoothing constraint (higher = more rigid splines)
smoothing	lambda constant. Added to the Defaults to 1e-05
scaling	Default scaling (1) is uV / m^2. Note that this depends on the units of the electrode co-ordinates.

Methods (by class)

• default: Default method to detect unknown classes.

• eeg_data: Transform eeg_data to CSD

• eeg_epochs: Transform eeg_data to CSD

Author(s)

Matt Craddock [e-mail]

References

[1] Perrin, F., Pernier, J., Bertrand, O., Echallier, J.F. (1989). Spherical splines for scalp potential and current density mapping. Electroencephalography and Clinical Neurophysiology, 72(2), 184-187. PMID: 2464490 [2] Kayser, J., Tenke, C.E. (2006). Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: I. Evaluation with auditory oddball tasks. Clinical Neurophysiology, 117(2), 348-368. [3] Kayser, J., Tenke, C.E. (2015). Issues and considerations for using the scalp surface Laplacian in EEG/ERP research: A tutorial review. International Journal of Psycholphysiology, 97(3), 189-209

Examples

csd_epochs <- compute_csd(demo_epochs)
plot_butterfly(csd_epochs)

neuroconductor-devel-releases/eegUtils documentation built on May 5, 2020, 3:49 a.m.