Resources


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

The Boston Childrens Hospital Sleep Corpus

Ayush Tripathi, Wolfgang Ganglberger, Haoqi Sun, Callison Alcott, Niels Turley, Rebecca Fitzgerald, Ayan Mitra, Samuel Waters, Arnav Gupta, Aditya Gupta, Manohar Ghanta, Valdery Moura Junior, Samaneh Nasiri, Bruce Nearing, Katie Stone, Emmanuel Mignot, Dennis Hwang, Matthew Reyna, Zuzana Koscova, Chad Robichaux, Zhiyong Zhang, Qiao Li, Gauri Ganjoo, Lynn Marie Trotti, Gari Clifford, Christine Tsien Silvers, Bharath Gunapati, Robert Thomas, M Brandon Westover, Kiran Maski, Umakanth Katwa

The Boston Children’s Hospital (BCH) Sleep Corpus comprises 15,695 fully annotated pediatric polysomnography (PSG) recordings collected between 2010 and 2024.

Published: Aug. 6, 2025. Version: 1.0.1

Database Restricted Access

SpikeNet 2.0

Jun Li, Daniel Goldenholz, Shenda Hong, Chenxi Sun, Jin Jing, M Brandon Westover

An expert-level deep learning model for detecting epileptiform discharges in EEG recordings at both event and whole-EEG levels.

Published: April 30, 2025. Version: 1.0

Database Restricted Access

Ordinal Sleep Depth - Data and Code

Erik-Jan Meulenbrugge, Haoqi Sun, Wolfgang Ganglberger, Samaneh Nasiri, Robert Thomas, M Brandon Westover

Data and code for "Ordinal Sleep Depth: A Data-Driven Continuous Measurement of Sleep Depth"

Published: April 24, 2025. Version: 1.0

Database Restricted Access

Automated EEG-based prediction of delayed cerebral ischemia after subarachnoid hemorrhage

Zhongwei Jin, Wei-Long Zheng, M Brandon Westover, Jennifer Kim

Data and code to reproduce this paper: https://pmc.ncbi.nlm.nih.gov/articles/PMC9847346/

Published: April 4, 2025. Version: 1.0

Database Restricted Access

TEEGLLTEEG: This EEG Looks Like That EEG

Alina Jade Barnett, Stark Guo, Jin Jing, Cynthia Rudin, M Brandon Westover

TEEGLLTEEG

Published: March 26, 2025. Version: 1.2

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 Open Access

Sleep Electroencaphalography-Based Brain Age Index

Haoqi Sun, Jefferson Tales Oliva, Oluwaseun Akeju, Robert Thomas, M Brandon Westover

Sleep EEG based brain age index is included in Luna v0.99 release.

Published: Nov. 13, 2024. Version: 0.99

Database Open Access

VE-CAM-S: Visual EEG-Based Grading of Delirium Severity and Associations with Clinical Outcomes

Ryan Tesh, Haoqi Sun, Jin Jing, Mike Westmeijer, Anudeepthi Neelagiri, Subapriya Rajan, Parimala Velpula Krishnamurthy, Pooja Sikka, Syed Quadri, Michael Leone, Luis Paixao, Ezhil Panneerselvam, Christine Eckhardt, Aaron F Struck, Peter Kaplan, Oluwaseun Akeju, Daniel Jones, Eyal Kimchi, M Brandon Westover

This dataset supports a published prospective cohort study using machine learning to develop the Visual EEG Confusion Assessment Method Severity (VE-CAM-S) scale for quantifying delirium and coma severity.

Published: Jan. 5, 2024. Version: 1.0