RAVE

RAVE: Reproducible Analysis and Visualization of Intracranial EEG Data

RAVE (R Analysis and Visualization of intracranial Electroencephalography) performs reproducible analysis and visualization of intracranial EEG (iEEG) data from implanted electrodes using the R programming language, supporting high–spatial and high–temporal resolution neural recordings across large electrode arrays.

Key Features:

• Custom iEEG Analyses: Applies user-defined analytical workflows across datasets comprising hundreds of electrodes and high-frequency time series recordings.
• Cortical Surface Mapping: Projects analysis results onto cortical surface models to localize and interpret neural activity patterns.
• Multi-Modal Visualization: Generates multiple plot types for quantitative representation of iEEG-derived metrics.
• Reproducible Framework: Implements standardized R-based pipelines to ensure computational reproducibility and analytical consistency.

Scientific Applications:

• Human Neuroscience Research: Analyzes large-scale intracranial EEG datasets to investigate spatial and temporal dynamics of neural activity in the human brain.

Methodology:

RAVE processes high-density iEEG recordings from implanted electrodes, applies user-specified statistical and signal-processing analyses within the R environment, and maps derived metrics onto cortical surface reconstructions for spatially resolved interpretation of neural signals.