MADE

MADE preprocesses pediatric electroencephalogram (EEG) data to remove environmental noise and physiological artifacts and produce clean datasets for event-related potential (ERP) and resting-state analyses.

Key Features:

• Automated preprocessing pipeline: Automates preprocessing steps for pediatric EEG datasets.
• Pediatric-specific artifact handling: Implements artifact handling tailored to shorter recording periods and higher artifact contamination typical of pediatric EEG.
• Cross-system compatibility: Standardizes preprocessing across different EEG hardware systems, demographic groups, and degrees of artifact interference.
• EEGLAB and plugins integration: Integrates with EEGLAB and specific plugins to perform preprocessing operations.
• Customizable pediatric parameters: Provides customizable settings specific to pediatric EEG to balance artifact removal and data retention.
• ERP and resting-state processing: Processes both event-related potentials (ERPs) and resting-state EEG from raw data files.
• Outputs for multiple analysis domains: Produces clean, processed data suitable for time, frequency, and time–frequency domain analyses.
• Comprehensive report generation: Generates a comprehensive report file detailing features and quality metrics of the processed data.
• Custom scripts for pediatric issues: Includes custom-written scripts addressing practical preprocessing challenges unique to pediatric EEG.

Scientific Applications:

• Developmental neuroscience: Preprocessing pediatric EEG for studies of brain development.
• ERP analysis in pediatric cohorts: Enabling event-related potential analyses in pediatric populations.
• Resting-state EEG analysis: Preparing resting-state EEG data for time, frequency, and time–frequency analyses in developmental studies.
• Cross-demographic and hardware comparisons: Facilitating comparative analyses across EEG hardware systems and demographic groups.

Methodology:

MADE uses EEGLAB and specific plugins to preprocess raw EEG files, apply pediatric-focused artifact removal, process ERP and resting-state signals, execute custom-written scripts addressing pediatric preprocessing issues, and generate a comprehensive report.