Brain Data Science Platform

Featured Resources

Database Credentialed Access

The Brain Imaging and Neurophysiology Database (BIND)

Charlotte Maschke, Peter Hadar, Yicheng Zhang, Jian Li, Gauri Ganjoo, Andrew Hoopes, Alessandro Guazzo, Aditya Gupta, Manohar Ghanta, Bruce Nearing, Christine Tsien Silvers, Bharath Gunapati, Robert Thomas, Jennifer Kim, Shibani Mukerji, Adrian Dalca, Sahar Zafar, Alice Lam, Emmanuel Mignot, M Brandon Westover

BIND Database 1: Neuroimaging Data (MRI, CT, PET, SPECT) that can be paired with EEG and PSG (found in the Harvard EEG Database https://bdsp.io/content/harvard-eeg-db/4.1/). LLMs helped categorize pathology.

ct mri brain imaging

Published: Sept. 9, 2025. Version: 1.0

Database Credentialed Access

The Human Sleep Project

Haoqi Sun, Wolfgang Ganglberger, Samaneh Nasiri, Aditya Gupta, Manohar Ghanta, Valdery Moura Junior, Sydney Cash, Katie Stone, Zhiyong Zhang, Gauri Ganjoo, Thijs E Nassi, Ruoqi Wei, Erik-Jan Meulenbrugge, Rhoda Au, Gari Clifford, Lynn Marie Trotti, Dennis Hwang, Emmanuel Mignot, Umakanth Katwa, M Brandon Westover

The Human Sleep Project (HSP) is a large collection of clinical sleep physiology recordings created to enable brain health research.

brain health artificial intelligence sleep

Published: Nov. 1, 2023. Version: 2.0

Database Credentialed Access

Harvard Electroencephalography Database

Sahar Zafar, Tobias Loddenkemper, Jong Woo Lee, Andrew Cole, Daniel Goldenholz, Jurriaan Peters, Alice Lam, Edilberto Amorim, Catherine Chu, Sydney Cash, Valdery Moura Junior, Aditya Gupta, Manohar Ghanta, Marta Fernandes, Haoqi Sun, Jin Jing, M Brandon Westover

Harvard Electroencephalography Database

routine eeg epilepsy monitoring unit electroencephalography icu eeg epilepsy eeg

Published: Feb. 10, 2025. Version: 4.1

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

I-CARE: International Cardiac Arrest REsearch consortium Electroencephalography Database

Edilberto Amorim, Wei-Long Zheng, Mohammad Ghassemi, Mahsa Aghaeeaval, Pravinkumar Kandhare, Vishnu Karukonda, Jong Woo Lee, Susan Herman, adithya sivaraju, Nicolas Gaspard, Jeannette Hofmeijer, Michel JAM van Putten, Reza Sameni, Matthew Reyna, Gari Clifford, M Brandon Westover

Multicenter clinical and EEG Database including patients who were comatose after cardiac arrest. This database includes 1,020 patients and more than 50,000 hours of continuous EEG from 7 hospitals in the U.S. and Europe.

Published: Oct. 11, 2023. Version: 1.0

Database Restricted Access

Targeted Metabolomics in the REGARDS Stroke Case-Cohort Study

Zsuzsanna Ament, Naruchorn Kijpaisalratana, Varun Bhave, Catharine Couch, Ana-Lucia Garcia Guarniz, Amit Patki, Mary Cushman, Suzanne Judd, Ryan Irvin, William Kimberly

This dataset contains metabolomics data from the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study, a large, biracial cohort investigating metabolic biomarkers linked to stroke risk and health disparities across the United State

Published: Feb. 26, 2025. Version: 1.0.0

Latest Resources

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

Epileptiform activity and outcomes in toxic-metabolic encephalopathy

Paul M. Chen, Saskia S. Schuurmans Stekhoven, Hiba Haider, Jin Jing, Wendong Ge, Eric Rosenthal, M. Brandon Westover, Sahar F. Zafar

De-identified data and reproduction code for a retrospective cEEG study of ictal-interictal continuum patterns and outcomes in 121 patients with toxic-metabolic encephalopathy (MGH, 2012-2017).

Published: July 10, 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

DDESVSFS: a screening tool for the differential diagnosis of epileptic versus functional seizures

Nicholas J. Janocko, Jin Jing, Ziwei Fan, Diane L. Teagarden, Hannah K. Villarreal, Matthew L. Morton, Olivia Groover, David W. Loring, Daniel L. Drane, M. Brandon Westover, Ioannis Karakis

MATLAB code and de-identified data for the DDESVSFS questionnaire-based screening tool distinguishing epileptic from functional (psychogenic) seizures (208 patients; AUC 0.93).

Published: July 9, 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

Software Credentialed Access

Continuous EEG monitoring enhances multimodal outcome prediction in hypoxic-ischemic brain injury

Edilberto Amorim, Jon C. Rittenberger, Jenny J. Zheng, M. Brandon Westover, Maria E. Baldwin, Clifton W. Callaway, Alexandra Popescu

LASSO models predicting outcome, mortality, and disposition after cardiac arrest, showing EEG reactivity improves multimodal prognostication (373-patient cohort). MATLAB code + de-identified data.

Published: July 8, 2026. Version: 1.0.0

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News

BDSP Recognized as NIH-Approved Data Repository

Nov. 21, 2024

As of Nov 21, 2024, the National Institutes of Health (NIH) has officially recognized BDSP as an approved repository for researchers to meet NIH Data Management and Sharing (DMS) requirements. This designation enables NIH-funded researchers to utilize BDSP for depositing and sharing their research data in compliance with NIH data sharing policies. As a vetted repository on the NIH's list of domain-specific repositories, BDSP is commited to advancing open science and facilitating collaborative research in brain data science.

For more information about depositing data in BDSP, please contact our support team.

Learn how to interact with the project data

Oct. 16, 2023

Take a look at the Tutorial explaining how to interact and download with the data published together with BDSP Projects. You can find more details here.

New I-CARE train dataset released !

News from: I-CARE: International Cardiac Arrest REsearch consortium Electroencephalography Database v1.0.

Oct. 16, 2023

The International Cardiac Arrest REsearch consortium (I-CARE) Database includes baseline clinical information and continuous electroencephalography (EEG) recordings from 1,020 comatose patients with a diagnosis of cardiac arrest who were admitted to an intensive care unit from seven academic hospitals in the U.S. and Europe. Patients were monitored with 18 bipolar EEG channels over hours to days for the diagnosis of seizures and for neurological prognostication. Long-term neurological function was determined using the Cerebral Performance Category scale.

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