Resources


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Effects of epileptiform activity on discharge outcome in critically ill patients

Harsh Parikh, Kentaro Hoffman, Haoqi Sun, Sahar F. Zafar, Wendong Ge, Jin Jing, Lin Liu, Jimeng Sun, Aaron F Struck, Alexander Volfovsky, Cynthia Rudin, M. Brandon Westover

De-identified data and a PK-PD + MALTS causal-inference pipeline reproducing the effect of untreated epileptiform-activity burden on poor discharge outcome in critically ill patients (Parikh et al., Lancet Digital Health 2023).

Published: July 11, 2026. Version: 1.0.1

Software Credentialed Access

Automated annotation of epileptiform burden and its association with outcomes

Sahar F. Zafar, Eric Rosenthal, Jin Jing, Wendong Ge, Mohammad Tabaeizadeh, Hassan Aboul Nour, Maryum Shoukat, Haoqi Sun, Farrukh Javed, Solomon Kassa, Muhammad Edhi, Elahe Bordbar, John Gallagher, Valdery Moura, Manohar Ghanta, Yu-Ping Shao, Sungtae An, Jimeng Sun, Andrew J. Cole, M. Brandon Westover

MATLAB code and de-identified data (1,991 patients) relating automatically-quantified ictal-interictal-continuum/seizure burden on continuous EEG to discharge outcome (Zafar et al., Ann Neurol 2021).

Published: July 11, 2026. Version: 1.0.0

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How many patients do you need? A trial-design simulation for anti-seizure treatment in acute brain injury

Harsh Parikh, Haoqi Sun, Rajesh Amerineni, Eric Rosenthal, Alexander Volfovsky, Cynthia Rudin, M. Brandon Westover, Sahar F. Zafar

MATLAB/Python code and de-identified data for a simulation framework that estimates required sample sizes and effect sizes for randomized trials of anti-seizure treatment in critically ill patients (Parikh et al., Ann Clin Transl Neurol 2024).

Published: July 11, 2026. Version: 1.0.0

Software Credentialed Access

Optimal spindle detection parameters for predicting cognitive performance

Noor Adra, Haoqi Sun, Wolfgang Ganglberger, Elissa Ye, Lena L. Dümmer, Ryan A. Tesh, Mike Westmeijer, Madalena D. S. Cardoso, Erin Kitchener, An Ouyang, Joel Salinas, Jonathan Rosand, Sydney Cash, Robert Thomas, M. Brandon Westover

De-identified sleep-spindle feature data (BDSP-linked) + cognition data + Python code to find the spindle-detection parameters that best predict cognitive performance (Adra et al., Sleep 2022).

Published: July 10, 2026. Version: 1.0.0

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Prognostic significance of EEG patterns in post-cardiac arrest coma: a 1,000-patient multicenter cohort

Rajib Kanti Dey, Aysenur Yaramis, Niels Turley, Hillary Mullan, Sakshi Chougule, Kaileigh Gallagher, Grace Bayas, Nirav Barot, Frank W. Drislane, Mouhsin Shafi, Trudy Pang, Daniel Goldenholz, Aaron F Struck, Jennifer Kim, Sahar F. Zafar, Jong Woo Lee, Edilberto Amorim, M. Brandon Westover

De-identified 1,000-patient multicenter dataset (BDSP-linked) and Python code for the prognostic significance of continuous-EEG patterns after cardiac arrest, with exact Clopper-Pearson CIs and temporal-trend analysis.

Published: July 10, 2026. Version: 1.0.0

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

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