Resources

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).

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).

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

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).

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

R (mstate) and MATLAB code with de-identified data for a 3-state multistate survival model of time-dependent seizure risk on continuous EEG in critically ill patients (665 consecutive cEEGs).

MATLAB code and de-identified data to forecast the onset and day-by-day trajectory of ICANS after CAR T-cell therapy (combined hidden Markov model + lasso logistic regression; 199-patient cohort, leave-one-patient-out cross-validation).

An interpretable ordinal EEG-feature score (VE-ICANS) that grades the severity of immune effector cell-associated neurotoxicity syndrome (ICANS) after CAR-T therapy. Code + de-identified data.

Twenty epileptologists diagnosed 50 suspected-seizure vignettes on two occasions; a Bayesian hierarchical model decomposes diagnostic variability into signal and noise. Code + de-identified data.

A large clinical scalp EEG corpus: 23,607 recordings from 4,914 patients (212,186 hours) acquired in patients' homes and hospitals on Natus/Xltek hardware, in BIDS-EEG format with technician annotations and de-identified clinical metadata.