MSEL is committed to the product of sharing data and code in an effort to create reproducible research.
Varatharajah et. al., "Integrating Artificial Intelligence with Real-time Intracranial EEG Monitoring to Automate Interictal Identification of Seizure Onset Zones in Focal Epilepsy"
This opensource software performs interictal SOZ classification using iEEG data. A typical workflow comprises:
See Instructions file to get started.
High Frequency Oscillations
High Frequency Oscillations (HFOs) are brief discrete events seen in EEG that are promising biomarkers of both epileptic neural tissue and cognitive processing.
Cimbalnik et. al., "Physiological and Pathological High Frequency Oscillations in Focal Human Epilepsy", manuscript in review
Guragain et. al., "Spatial Patterns and Variation in High-Frequency Oscillation Rates and Amplitudes in Intracranial EEG Recordings", manuscript in review
Cimbalnik et. al., "The CS Algorithm: A Novel Method for High Frequency Oscillation Detection in EEG”, manuscript in review
Multiscale Electrophysiology Format
The Multiscale Electrophysiology File (MEF) Format is an open-source file format for storing electrophysiology and other time-series data employing data compression, and encryption.
Accurate seizure forecasting could transform epilepsy care, allowing patients to modify activities to avoid risk, or take additional AED to stop seizures before they develop. Our laboratory is engaged in efforts to develop and validate robust algorithms for seizure forecasting.
Kaggle.com seizure prediction competition: