Estimate motor-evoked-potential onset latency

Detects the first persistent signed deviation from the baseline mean above a multiple of the baseline standard deviation.

Usage

mepLatency(
  x,
  response_window_ms = c(5, 50),
  epoch_start_ms = 0,
  baseline_window_ms = NULL,
  threshold_sd = 3,
  min_consecutive_ms = 1,
  channels = NULL,
  assay_name = NULL
)

Arguments

x

A PhysioExperiment with time x channels x trials MEP data.

response_window_ms

Search window relative to the TMS pulse.

epoch_start_ms

Time of the first epoch sample relative to the pulse.

baseline_window_ms

Optional baseline interval. The default uses all pre-stimulus samples.

threshold_sd

Baseline standard-deviation multiplier.

min_consecutive_ms

Required duration of a threshold crossing.

channels

Optional channel labels or 1-based indices.

assay_name

Optional assay name.

Value

A data frame containing onset sample and latency for each selected channel and trial.

Examples

pe <- make_mep(n_trials = 4, intensities = rep(65, 4), seed = 2)
mepLatency(pe, epoch_start_ms = -20)
#>   channel channel_label trial intensity_pct_mso onset_sample latency_ms
#> 1       1          MEP1     1                65          202       20.2
#> 2       1          MEP1     2                65          202       20.2
#> 3       1          MEP1     3                65          202       20.2
#> 4       1          MEP1     4                65          202       20.2