Exploring Functional Gradients in EEG
EEG analysis tools for power spectra, connectivity, and gradients using LEMON dataset.
A repository that contains Jupyter notebooks for analyzing resting-state EEG data. The analysis includes power spectral density calculation, connectivity calculations, and gradient-based approaches to understand brain dynamics. Features
Connectivity Analysis: Calculate correlation or coherence matrices from EEG signals
Gradient Mapping: Create gradient maps from connectivity matrices
Visualization: Tools for visualizing EEG data and analysis results
If you use this code in your research, please cite: Simarro, M., Weber, C. (2025). EEG: A Python package for EEG connectivity and gradient analysis. GitHub repository: https://github.com/MarianSimarro/EEG