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Detect ERP Components

Source: R/eeg-erp.R
eegERPdetect.Rd

Detects known event-related potential (ERP) components in epoched (3D) EEG data. Averages across epochs and finds peaks within predefined time windows.

Usage

eegERPdetect(
  x,
  component = c("N100", "P300", "N400", "P600", "MMN", "LPP"),
  channels = NULL,
  epoch_start = 0,
  assay_name = NULL
)

Arguments

x

A PhysioExperiment object with epoched (3D) EEG data.

component

ERP component to detect: "N100", "P300", "N400", "P600", "MMN", or "LPP".

channels

Character vector of channel labels to analyze. If NULL, all channels are used.

epoch_start

Start time of the epoch in milliseconds relative to stimulus onset. Default is 0 (epoch starts at stimulus).

assay_name

Input assay name (default: first assay).

Value

A data.frame with columns: channel (character label), component (character name), latency_ms (numeric peak latency in milliseconds), and amplitude (numeric peak amplitude).

References

Luck, S. J. (2014). An Introduction to the Event-Related Potential Technique (2nd ed.). MIT Press.

See also

eegERPmeasure(), eegERPlatency(), eegERPbaseline(), eegEpoch(), eegPlotERP()

Examples

if (FALSE) { # \dontrun{
pe <- make_eeg_erp(n_epochs = 40, sr = 250)
result <- eegERPdetect(pe, component = "P300")
} # }