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Lateralised Readiness Potential ​

This demo shows how to calculate the Lateralised Readiness Potential (LRP) from ERP data.

What is the LRP? ​

The LRP is an ERP measure of lateralised motor preparation. It is computed from the difference in activity between hemispheres contralateral and ipsilateral to the responding hand, and is widely used in cognitive and motor neuroscience to study response preparation timing.

How is it Calculated? ​

For each channel pair (e.g., C3/C4), the LRP is:

text
LRP_C3 = 0.5 × ((C3_right − C4_right) + (C4_left − C3_left))

Where "left" and "right" refer to the hand used for the response.

Key Functions ​

FunctionPurpose
lrp(erp_left, erp_right)Single-participant LRP
lrp(file_pattern, pairs)Batch LRP across participants

Channel Pairing ​

  • By default, all odd/even channel pairs are detected automatically (e.g., C3/C4, CP1/CP2)

  • Use channel_selection to restrict to specific pairs

Workflow Summary ​

Single-Participant LRP ​

  • Calculate LRP from left and right response conditions

Batch Processing ​

  • Process all participants with specified condition pairs

Visualisation ​

  • Plot LRP waveforms with plot_erp

Code Examples ​

Show Code
julia

# Demo: Lateralised Readiness Potential (LRP) {#Demo:-Lateralised-Readiness-Potential-LRP}

# Shows how to calculate the LRP from left-hand and right-hand ERP conditions {#Shows-how-to-calculate-the-LRP-from-left-hand-and-right-hand-ERP-conditions}

# and perform batch processing across participants. {#and-perform-batch-processing-across-participants.}

using EegFun

# Note: EegFun.example_path() resolves bundled example data paths. {#Note:-EegFun.example_path-resolves-bundled-example-data-paths.}

# When using your own data, simply pass the file path directly, e.g.: {#When-using-your-own-data,-simply-pass-the-file-path-directly,-e.g.:}

# dat = EegFun.read_raw_data("/path/to/your/data.bdf") {#dat-EegFun.readrawdata"/path/to/your/data.bdf"}

# TODO``` {#TODO}

See Also ​