Reproducible Research

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MSEL is committed to the product of sharing data and code in an effort to create reproducible research.


Sleep Staging

Automated Unsupervised Classifier to use iEEG data and score it into AWAKE, N2, N3 sleep stages.

  • A full description of how to use the classifier is in the help of Matlab m-file.
  • Also available - features extracted from two patients data in day/night recordings. These matrixes can be used as an input and to provide an example of how to use the classifier.


Artificial Intelligence

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:

  1. feature extraction
  2. feature preprocessing
  3. classification

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.

Seizure Forecasting

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. seizure prediction competition: