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.