Resources


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Measuring Expertise in Identifying Interictal Epileptiform Discharges

Nitish Harid, Jin Jing, Jacob Hogan, Fabio Nascimento, Wei-Long Zheng, Wendong Ge, Sahar Zafar, Jennifer Kim, Alice Lam, Aline Herlopian, Douglas Maus, Ioannis Karakis, Marcus Ng, Shenda Hong, Peter Kaplan, Sydney Cash, Mouhsin Shafi, Jonathan Halford, M Brandon Westover

Dataset of 13,262 candidate interictal epileptiform discharges (IEDs) from EEGs at Massachusetts General Hospital, scored by 8 fellowship-trained physicians, used in an online test to quantify reader skill in IED recognition.

benchmark expert annotation epilepsy interictal epileptiform discharges eeg

Published: April 17, 2026. Version: 1.0.0


Database Restricted Access

A randomized controlled educational pilot trial of interictal epileptiform discharge identification for neurology residents - Data and Code

Fabio Nascimento, Jin Jing, M Brandon Westover

Data and code for a bi-institutional randomized controlled educational pilot trial (n=21 junior neurology residents) evaluating a web- and app-based training program for identifying interictal epileptiform discharges (IEDs) on EEG.

epilepsy medical education randomized controlled trial interictal epileptiform discharges eeg

Published: April 22, 2026. Version: 1.0.0


Database Restricted Access

On-demand EEG education through competition: learning to identify IEDs

Jaden D. Barfuss, Fabio Nascimento, Erik Duhaime, Srishti Kapur, Ioannis Karakis, Marcus Ng, Aline Herlopian, Alice Lam, Douglas Maus, Jonathan Halford, Sydney Cash, M Brandon Westover, Jin Jing

iOS-app-based EEG education and gamified learning data: 2,270 participants rated candidate interictal epileptiform discharges (IEDs) on the DiagnosUs app, with 13,262 EEG candidates, survey responses, and learning curves.

education crowdsourcing epilepsy interictal epileptiform discharges eeg

Published: April 18, 2026. Version: 1.0.0


Software Credentialed Access

Interpretable quantitative criteria for evaluating interictal epileptiform discharges

Fábio A. Nascimento, Jaden D. Barfuss, A. Jaffe, M. Brandon Westover, Jin Jing

MATLAB code and de-identified data for six interpretable quantitative EEG features (amplitude, duration, sharpness, slow wave, asymmetry, field) combined to classify interictal epileptiform discharges (AUC ~0.83).

Published: July 9, 2026. Version: 1.0.0


Software Credentialed Access

NeuroBrowser: Rapid Annotation of Interictal Epileptiform Discharges via Template Matching under Dynamic Time Warping

Jin Jing, M. Brandon Westover

Ultrafast EEG template matching under Dynamic Time Warping for rapid annotation of interictal epileptiform discharges, with an open-source Python implementation and a demo dataset.

Published: July 2, 2026. Version: 1.0.0


Database Restricted Access

Cyclops: Automated detection of interictal epileptiform discharges with few EEG channels

Moritz Maximilian Alkofer, M Brandon Westover, Jin Jing, Daniel Goldenholz

Cyclops dataset

Published: March 1, 2025. Version: 2.0


Software Credentialed Access

A Primer on EEG Spectrograms: a de-identified EEG/qEEG teaching atlas

Marcus Ng, Jin Jing, M. Brandon Westover

A de-identified teaching atlas of 224 labeled EEG segments, each pairing raw EEG with its qEEG spectrogram, plus MATLAB code to regenerate the paired figures. Accompanies "A Primer on EEG Spectrograms" (Ng et al., 2022).

Published: July 10, 2026. Version: 1.0.0


Software Credentialed Access

2HELPS2B: an EEG-based risk score for seizure probability in hospitalized patients

Aaron F Struck, Berk Ustun, Andres A. Rodriguez Ruiz, Jong Woo Lee, Suzette M. LaRoche, Lawrence J. Hirsch, emily gilmore, Jan Vlachy, Hiba Haider, Cynthia Rudin, M. Brandon Westover

MATLAB code and de-identified CCEMRC data behind the 2HELPS2B seizure-risk score: seizure probability by ictal-interictal-continuum EEG pattern (5,742 continuous-EEG records).

Published: July 9, 2026. Version: 1.0.0


Database Credentialed Access

Automated Extraction of Seizures and Ictal-Interictal Continuum Patterns from EEG Reports to Enable Large-Scale Neurophysiology and Neurocritical Care Research - Data and Code

Shadi Sartipi, Deena S. Godfrey, Alexandra-Maria Tauțan, Marta P. Fernandes, Manohar Ghanta, Aditya Gupta, Bruce Nearing, Jennifer Kim, Aaron F. Struck, Tobias Loddenkemper, Jurriaan Peters, Jong Woo Lee, M. Brandon Westover, Sahar F. Zafar

Deidentified seizure and ictal-interictal continuum (IIC) data extracted from 156,582 EEG reports across three health systems (two adult, one pediatric), plus the LLM-based extraction pipeline. Companion to Sartipi et al. (IJMI, under review).

Published: June 1, 2026. Version: 1.0.0


Database Credentialed Access

Evaluating crowdsourcing for ICU EEG annotation: A comparison with expert performance — Data and Code

Wan-Yee Kong, Fabio Nascimento, Aaron F Struck, Erik Duhaime, Srishti Kapur, Edilberto Amorim, Gregory Kapinos, Andres rodriguez, Brendan Thomas, Masoom Desai, Jong Woo Lee, M Brandon Westover, Jin Jing

Data and code from Kong et al. (Epilepsia 2025): 1,542 expert and non-expert participants annotated 478,834 EEG epochs for seizures and rhythmic/periodic patterns; mixed-effects analyses compare crowd vs expert accuracy.

Published: May 17, 2026. Version: 1.0.0