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Related Experiment Video

Updated: Sep 2, 2025

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience
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The HAPPE plus Event-Related (HAPPE+ER) software: A standardized preprocessing pipeline for event-related potential

A D Monachino1, K L Lopez1, L J Pierce2

  • 1Northeastern University, 360 Huntington Ave, Boston, MA, United States.

Developmental Cognitive Neuroscience
|August 4, 2022
PubMed
Summary

This study introduces HAPPE+ER, a new automated software for processing electroencephalography (EEG) data. It standardizes and speeds up event-related potential (ERP) analysis, especially for clinical and developmental groups.

Keywords:
Automated preprocessingERPElectroencephalographyEvent-related potentialHAPPEHAPPE+ERProcessing pipelineSimulated ERPWavelet

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Biomedical Engineering

Background:

  • Electroencephalography (EEG) is crucial for studying neurocognitive function using Event-Related Potential (ERP) designs.
  • Traditional manual preprocessing of ERP data is subjective and time-consuming.
  • Existing automated EEG preprocessing pipelines often lack optimization for ERP analyses, particularly in diverse populations.

Purpose of the Study:

  • To introduce and validate HAPPE+ER, a novel automated preprocessing pipeline for ERP analysis.
  • To provide a standardized, efficient, and quantifiable method for ERP data processing across the lifespan.
  • To enhance data quality assessment and facilitate pipeline performance evaluation.

Main Methods:

  • Development and validation of the HAPPE+ER software pipeline.
  • Processing of event-related potential data from raw files to statistical analysis-ready outputs.
  • Inclusion of post-processing reports for data and pipeline quality metrics.
  • Implementation of scripts for validating HAPPE+ER performance using simulated and real ERP data.

Main Results:

  • HAPPE+ER offers a standardized and automated approach to ERP preprocessing.
  • The pipeline is optimized for ERP analyses, including developmental and clinical populations.
  • Post-processing reports provide objective measures of data and pipeline quality.
  • Validation methods allow for performance comparison with other preprocessing techniques.

Conclusions:

  • HAPPE+ER provides a robust, automated solution for ERP data preprocessing.
  • The software enhances standardization, efficiency, and quantifiability in EEG research.
  • HAPPE+ER is a valuable tool for researchers across various lifespan populations, facilitating reproducible and reliable neurocognitive studies.