BEAPP

BEAPP processes electroencephalography (EEG) data for automated, modular batch processing of baseline and event-related EEG files across mixed acquisition formats to support reproducible EEG analyses in neuroscientific research.


Key Features:

  • Modular Matlab implementation: Implemented in Matlab as a modular software system.
  • Batch processing: Processes multiple EEG files in batch through various stages of analysis.
  • Mixed acquisition format support: Manages baseline and event-related EEG files across mixed acquisition formats and multiple acquisition setups.
  • Integration of external tools: Integrates freely available software tools into a cohesive processing platform.
  • Customizable processing options: Provides a customizable menu of options for EEG data management and analysis to configure processing workflows.
  • Artifact minimization: Incorporates techniques for artifact minimization to improve EEG signal quality.
  • Segmentation modes: Supports segmentation for both continuous and event-related EEG analyses.
  • Basic analyses: Performs basic preliminary analyses within the platform.
  • Standardization for reproducibility: Standardizes batch processing procedures to improve reproducibility of EEG research.

Scientific Applications:

  • Multisite EEG studies: Analysis of EEG data collected across multiple sites and acquisition setups.
  • Neurologic and neuropsychiatric research: Studies of neurologic and neuropsychiatric disorders using high-temporal-resolution EEG.
  • Event-related and baseline analyses: Examination of temporal dynamics in event-related potentials and baseline EEG signals.
  • Preprocessing for downstream analysis: Preprocessing and preliminary analysis of raw EEG data prior to higher-level analyses.

Methodology:

Implemented in Matlab; integrates freely available software tools; performs batch processing of multiple EEG files across mixed acquisition formats; offers a customizable menu of processing options, supports continuous and event-related segmentation, incorporates artifact minimization techniques, and performs basic analyses.

Topics

Collections

Details

Tool Type:
library
Programming Languages:
MATLAB
Added:
1/20/2021
Last Updated:
5/13/2021

Operations

Publications

Levin AR, Méndez Leal AS, Gabard-Durnam LJ, O’Leary HM. BEAPP: The Batch Electroencephalography Automated Processing Platform. Frontiers in Neuroscience. 2018;12. doi:10.3389/fnins.2018.00513. PMID:30131667. PMCID:PMC6090769.

PMID: 30131667
PMCID: PMC6090769
Funding: - Autism Science Foundation: 12-1004 - Brain and Behavior Research Foundation: 25176 - National Institute on Deafness and Other Communication Disorders: R01-DC010290