Resources


Database Credentialed Access

Association of Sleep Electroencephalography-Based Brain Age Index With Dementia - Data and code

Elissa Ye, Haoqi Sun, Michael Leone, Luis Paixao, Robert Thomas, Alice Lam, M Brandon Westover

De-identified polysomnography dataset and analysis code from Ye et al. 2020 (JAMA Netw Open): sleep-EEG-based Brain Age Index (BAI) computed across 9,834 MGH Sleep Lab PSGs and tested as a biomarker for dementia and MCI versus healthy controls.

machine learning biomarker sleep mild cognitive impairment polysomnography dementia eeg brain age

Published: April 25, 2026. Version: 1.0.0

Database Credentialed Access

ICU SLEEP

Ryan Tesh, Hao Deng, Kaileigh Gallagher, Wolfgang Ganglberger, Timothy T. Houle, B. Taylor Thompson, Robert Thomas, Oluwaseun Akeju, M Brandon Westover

De-identified data and analysis code from ICU-SLEEP (NCT03355053): a phase 2 double-blind placebo-controlled three-arm RCT of overnight IV dexmedetomidine in 482 non-ventilated MGH ICU adults aged 50+ (2019-2022).

sedation dexmedetomidine clinical trial delirium icu critical care sleep eeg

Published: April 25, 2026. Version: 1.0.0

Database Credentialed Access

Dementia detection from brain activity during sleep - data and code

Elissa Ye, Haoqi Sun, Wolfgang Ganglberger, Robert Thomas, Alice Lam, M Brandon Westover

Code and curated polysomnography dataset (10,784 PSGs from 8,044 patients, MGB Sleep Lab 2009-2019) used in Ye et al. 2023 (Sleep) to detect dementia and MCI from sleep EEG features.

machine learning biomarker sleep mild cognitive impairment polysomnography dementia eeg

Published: April 25, 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

Database Restricted Access

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

Model Credentialed Access

Automated Prediction of Glasgow Coma Scale Scores from Unstructured Electronic Health Records: a Natural Language Processing Approach

Marta Fernandes, Niels Turley, Haoqi Sun, Shibani Mukerji, Lidia M. V. R. Moura, M Brandon Westover, Sahar Zafar

Prediction of Glasgow Coma Scale scores from Unstructured Electronic Health Records using NLP

glasgow coma scale natural language processing ordinal regression electronic health records clinical notes

Published: April 17, 2026. Version: 1.0.0

Database Credentialed Access

PRediction Of Disease PHEnoTypes (PROPHET)

Niels Turley, Marta Fernandes, Shadi Sartipi, Han Wu, Alice Lam, Lydia Petersen, Catherine Clive, Daniel Sumsion, Ruoqi Wei, Bram Overmeer, Jaden Searle, Gregory Hooke, Spencer Boris, Wan-Yee Kong, Arjun Singh, Marjan Sarami, Alihan Yaramis, Imad Akbar, Rebecca Milde, Jet Veltink, Elijah Davis, Aditya Gupta, Manohar Ghanta, Aidan McDonald Wojciechowski, Shibani Mukerji, Haoqi Sun, M Brandon Westover, Sahar Zafar

Multicenter expert-annotated EHR dataset and NLP phenotyping framework for 17 neurological conditions spanning diagnoses, severity scales, and outcomes across six U.S. health systems.

Published: March 31, 2026. Version: 1.0

Database Credentialed Access

Narcolepsy Risk Estimation from Clinical Notes

Niels Turley, Haoqi Sun, M Brandon Westover

Dataset and code for developing and validating machine learning models to phenotype narcolepsy type 1 (NT1) and narcolepsy type 2/idiopathic hypersomnia (NT2/IH) from multi-site electronic health record data, including cross-sectional classification

Published: March 2, 2026. Version: 1.0

Database Credentialed Access

Harvard-Emory ECG Database

Zuzana Koscova, Valdery Moura Junior, Matthew Reyna, Shenda Hong, Aditya Gupta, Manohar Ghanta, Reza Sameni, Aaron Aguirre, Qiao Li, Sahar Zafar, Gari Clifford, M Brandon Westover

The Harvard ECG database (HEEDB) is a large collection of 12-lead electrocardiography (ECG) recordings.

Published: Feb. 25, 2026. Version: 5.0